Machine Learning SupertrendThe Machine Learning Supertrend is an advanced trend-following indicator that enhances the traditional Supertrend with Gaussian Process Regression (GPR) and kernel-based learning. Unlike conventional methods that rely purely on historical ATR values, this indicator integrates machine learning techniques to dynamically estimate volatility and forecast future price movements, resulting in a more adaptive and robust trend detection system.
At the core of this indicator lies Gaussian Process Regression (GPR), which utilizes a Radial Basis Function (RBF) kernel to model price distributions and anticipate future trends. Instead of simply looking at past price action, it constructs a kernel matrix, enabling a probabilistic approach to price forecasting. This allows the indicator to not only detect current trends but also project potential trend reversals with greater accuracy.
By applying machine learning to ATR estimation, the ML Supertrend dynamically adjusts its thresholds based on predicted values rather than a fixed multiplier. This makes the trend signals more responsive to market conditions, reducing false signals and minimizing whipsaws often seen with traditional Supertrend indicators. The upper and lower bands are no longer static but evolve based on the underlying price structure, improving the reliability of trend shifts.
When the price crosses these adaptive levels, the indicator detects a trend change and plots it accordingly. Green signifies a bullish trend, while red indicates a bearish one. Alerts can also be triggered when the trend shifts, allowing traders to react quickly to potential reversals.
What makes this approach powerful is its ability to adapt to different market conditions. Traditional ATR-based methods use fixed parameters that might not always be optimal, whereas this ML-driven Supertrend continuously refines its estimations based on real-time data. The result is a more intelligent, less lagging, and highly adaptive trend-following tool.
This indicator is particularly useful for traders looking to enhance trend-following strategies with AI-driven insights. It reduces noise, improves signal reliability, and even offers a degree of trend forecasting, making it ideal for those who want a more advanced and dynamic alternative to standard Supertrend indicators.
This indicator is provided for educational and informational purposes only. It does not constitute financial advice, and past performance is not indicative of future results. Trading involves risk, and users should conduct their own research and use proper risk management before making investment decisions.
Forecasting
THE EDGE FXThis indicator is designed to enhance chart organization for traders by providing essential tools for analysis and time management. Key features include:
1. Notes and Watermarks:
- Allows traders to add customizable notes and watermarks directly on the chart for better information tracking and organization.
2. Unique Day and Week Separation:
- Dynamically separates days and weeks based on the selected UTC timezone. This feature is ideal for global traders managing different time zones and ensures accurate time segmentation on the chart.
3. Fractal Marking:
- Automatically highlights fractal points on the chart, helping traders identify potential reversal or continuation zones based on classic fractal analysis principles.
How It Works:
- The indicator overlays additional visual elements on the chart without altering the underlying data.
- Time segmentation is achieved using an algorithm that adapts to the selected UTC timezone for clear and accurate visualization.
- Fractal detection follows standard technical analysis rules to identify key price levels.
Usage Instructions:
- Add the indicator to your chart and configure the settings for your preferred timezone.
- Use the notes feature to save and display critical information directly on the chart.
- Utilize fractal markings to analyze potential turning points and market trends.
This indicator provides a streamlined way to manage your chart annotations and fractal analysis, making it an essential tool for both intraday and swing traders.
RSI & RSI-MA Buy-Sell IndicatorThe RSI & RSI-MA Buy-Sell Indicator is a technical analysis tool designed to identify potential trading opportunities based on the Relative Strength Index (RSI) and its moving average (RSI-MA). The indicator provides clear buy and sell signals when specific conditions are met, helping traders make informed decisions.
How It Works
This indicator is based on two main components:
Relative Strength Index (RSI): Measures the strength and momentum of price movements.
RSI Moving Average (RSI-MA): A simple moving average of RSI values, used to smooth out volatility and confirm trends.
Trading Signals:
A buy signal occurs when the RSI crosses above 70 after previously being below 30, and the RSI-MA is above a predefined threshold.
A sell signal is generated when the RSI crosses below 30 after previously being above 70, and the RSI-MA is below the threshold.
Visual labels for "BUY" and "SELL" appear on the RSI chart rather than the price chart, making it easier to interpret the signals.
Alerts can be set to notify traders when a buy or sell condition is met.
Benefits of the Indicator
Clear Trading Signals: The indicator removes subjectivity by providing distinct buy and sell signals.
Enhanced Trend Confirmation: RSI-MA helps validate RSI movements, reducing false signals.
Customizable Inputs: Traders can adjust the RSI period, RSI-MA period, and reference level based on their strategy.
Efficient for Momentum Trading: Works well in volatile markets where RSI movements are pronounced.
Compatible with Alerts: Can send notifications when trading conditions are met, allowing traders to act swiftly.
Risks & Limitations
False Signals in Sideways Markets: RSI can generate misleading signals when the market lacks a clear trend.
Lagging Nature of Moving Averages: RSI-MA may cause a delay in signal generation compared to RSI alone.
Market Conditions Dependency: Works best in trending markets but may be unreliable during low volatility.
Not a Standalone Strategy: Should be used in conjunction with other indicators, fundamental analysis, and risk management techniques.
Overbought/Oversold Assumptions: Just because RSI reaches extreme levels doesn’t guarantee a reversal—prices can remain overbought/oversold for extended periods.
Conclusion
The RSI & RSI-MA Buy-Sell Indicator is a powerful tool for identifying momentum shifts and potential trade setups. However, like all technical indicators, it has limitations and should be used alongside other analysis techniques. Traders must implement proper risk management and avoid relying solely on RSI signals for trading decisions. With careful usage, this indicator can help enhance decision-making and improve trade timing in dynamic markets.
Lorentzian Volatility Filtered SignalsThis indicator uses Lorentzian classification and volume to print accurate buy and sell signals with a stop loss and take profit.
Sinal de Compra e Short - ScalpingSinal de Compra e Short - Scalping
Este script foi desenvolvido para traders de scalping que operam no mercado de criptomoedas ou outros ativos voláteis. Ele combina médias móveis curtas e RSI ajustado para identificar pontos de entrada e saída rápidos.
📌 Configuração do Indicador
✅ Médias Móveis Simples (SMA)
Curta: 5 períodos
Longa: 13 períodos
✅ RSI Ajustado para Scalping
Período: 7
Confirmação de compra: RSI acima de 55
Confirmação de venda (Short): RSI abaixo de 45
📊 Sinais e Alertas
📍 Long: Gerado quando a média móvel curta cruza acima da média móvel longa e o RSI está acima de 55.
📍 Short: Gerado quando a média móvel curta cruza abaixo da média móvel longa e o RSI está abaixo de 45.
🔔 Alertas: São ativados automaticamente ao identificar sinais de Long ou Short.
💡 Ideal para gráficos de 1 a 5 minutos, ajudando a capturar oportunidades rápidas no mercado.
Experimente e ajuste conforme sua estratégia! 🚀
Trend Signals with TP & SL [DeeEyeCrypto]The script you provided is a Pine Script strategy for TradingView designed to generate trend signals with take profit (TP) and stop loss (SL) levels. It identifies buy and sell signals based on trend continuation and visualizes these signals on the TradingView chart. Here's a detailed breakdown of its components and functionality:
Inputs and Parameters
Source (src): The input source for price data, typically set to the average of high and low prices (hl2).
Sensitivity (Multiplier): A float input to adjust the sensitivity of trend detection, ranging from 0.5 to 5.
ATR Length (atrPeriods): The length for calculating the Average True Range (ATR), with a default value of 10.
ATR Calculation Methods (atrCalcMethod): A string input to choose between two ATR calculation methods.
Cloud Moving Average Length (cloud_val): The length for the moving average used in the cloud visualization, with a default value of 10.
Stop Loss Percent (stopLossVal): A float input for defining the stop loss percentage, where 0 disables the stop loss.
Show Buy/Sell Signals (showBuySellSignals): A boolean input to toggle the display of buy and sell signals.
Show Cloud MA (showMovingAverageCloud): A boolean input to toggle the display of the moving average cloud.
Utility Functions
percent: A function to calculate the percentage of a numerator over a denominator.
Momentum Calculations
Hull Moving Averages (HMA): Calculates two HMAs based on the open and close prices.
Change Momentum (CMO): Computes the change momentum for trend detection.
Pivot Calculations: Identifies the highest and lowest pivots over a specified period.
RSI Calculation
Relative Strength Index (RSI): Computes the RSI over a 9-period length.
Support and Resistance Conditions
sup: Identifies support conditions based on the RSI and CMO.
res: Identifies resistance conditions based on the RSI and CMO.
ATR Calculations
atr: Computes the ATR using either Method 1 (default ta.atr) or Method 2 (ta.sma).
Trend Detection
up and dn: Calculates upper and lower bounds using the ATR and sensitivity multiplier.
trend: Determines the current trend (1 for uptrend, -1 for downtrend).
buySignal and sellSignal: Identifies buy and sell signals based on trend changes.
Position Management
pos: Manages the current position (1 for long, -1 for short).
entryOfLongPosition and entryOfShortPosition: Stores the entry prices for long and short positions.
stopLossForLong and stopLossForShort: Calculates stop loss levels for long and short positions.
takeProfitForLong1R, takeProfitForShort1R, etc.: Calculates various take profit levels (1R, 2R, 3R) for long and short positions.
long_sl and short_sl: Checks if stop loss conditions are met for long and short positions.
takeProfitForLongFinal and takeProfitForShortFinal: Checks if final take profit conditions are met for long and short positions.
Plotting and Visualization
plot_high and plot_low: Plots the moving average cloud based on the chosen length.
plotshape: Plots buy and sell signals on the chart.
fill: Fills the cloud area based on MACD conditions to visualize trends.
Alerts
alertcondition: Sets up alert conditions for trend direction changes.
alertLongText and alertShortText: Constructs alert messages for buy and sell signals.
alert: Sends alerts based on long and short conditions.
Summary
This script provides a comprehensive strategy for identifying and visualizing trend continuation signals on TradingView. It includes features for setting take profit and stop loss levels, plotting signals and trends, and sending alerts for trade opportunities. The script is highly customizable with various input parameters, allowing users to adjust sensitivity, ATR calculation methods, and visualization options to suit their trading preferences.
Crypto Dynamic RSI-MACD Pro# Crypto Dynamic RSI-MACD Pro
## 📊 指标概述
专为加密货币市场设计的复合震荡指标,整合动态RSI阈值与MACD量价背离检测,通过三重验证机制提升交易信号可靠性。本指标经2021-2023年极端行情压力测试,在BTC/USD 4H周期实现62.3%历史胜率(盈亏比2.1:1)。
## 🎯 核心功能
- **智能阈值系统**
```pine
dynamicOversold = 30 + (ATR波动率>2% ? 5 : 0)
dynamicOverbought = 70 - (ATR波动率>2% ? 5 : 0)
第三代背离检测
采用价格-MACD双拐点验证算法,过滤90%以上假背离
复合信号机制
需同时满足:
1.RSI突破动态阈值
2.MACD柱状线方向确认
3.量价背离形态
⚙️ 参数配置指南
参数名称 推荐值 适用场景
RSI周期 9-14 小周期用9,日线用14
MACD快线周期 8-12 牛市用8,熊市用12
背离检测周期 20-50 短线20,波段50
📈 使用建议
最佳实践组合
// 比特币日内交易(15分钟图)
rsiLength=9, macdFast=8, divergenceLookback=20
// 以太坊波段交易(4小时图)
rsiLength=12, macdSlow=30, divergenceLookback=40
信号确认规则
✅ 有效买入信号
*绿色▲出现在K线实体上方
*背景变为淡绿色
*MACD柱状线连续2根转绿
❌ 信号失效条件
*价格在信号后1小时内未突破前高
*BTC主导波动率突然放大3%+
*交易所资金费率>0.1%
⚠️ 风险控制协议
1.强制止损规则
止损位 = 入场价 ± (当前ATR × 1.5)
2.时段过滤
规避每周五20:00-22:00(UTC+8)期货交割时段
3.熔断机制
if 连续亏损3次:
停止交易24小时
elif 单日亏损>5%:
强制平仓并分析市场状态
📌 发布说明
数据源要求
需使用交易所原生K线数据(避免合成K线)
兼容性
最佳运行周期:15分钟 - 日线
推荐交易对:BTC/USD, ETH/USD, BNB/USDT
版本更新
2023.12.01 - 增加流动性检测过滤
2024.02.15 - 优化背离算法
📜 免责声明
❗ 重要风险提示
本指标不适用于以下场景:
*市值排名50以外的小币种
*交易所维护期间
*重大监管政策发布后24小时内
*稳定币脱锚事件期间
开发者不承担任何因使用本指标导致的资金损失责任,加密货币交易存在极高风险,请谨慎决策。
Autotrade.it DCAAutoTrade.it DCA Strategy Setup Guide
Overview:
The AutoTrade.it DCA Strategy is designed to automate your trading using the powerful Dollar-Cost Averaging (DCA) method. It increases your position size every time the asset price decreases, helping you average down your entry price over time. This strategy is perfect for traders looking to capitalize on market dips, minimize risks, and maximize potential returns.
[ b]Recommended Timeframe
15-Minute (15m) Timeframe
Ideal for capturing short-term market movements while reducing noise.
Provides sufficient data to identify price trends and adjust positions.
Helps balance risk management and responsiveness to price fluctuations without over-trading.
Step-by-Step Tutorial
Step 1: Create an Account
Sign up at autotrade.it.com
Step 2: Connect Your TradingView Account
Use an alternative email to connect your TradingView account to AutoTrade.it.
Note: This is free and doesn't require a TradingView Pro subscription.
Step 3: Connect Your Desired Exchange
Link your exchange to autotrade.it using API keys for seamless trade execution.
Step 4: Copy the Alert Name
Copy the alert name provided by AutoTrade.it. This will be used to trigger your strategy.
Step 5: Add the Alert on the Indicator
Go to the indicator on TradingView and add an alert.
Choose " Alert Function calls only " as the type of alert.
Step 6: Paste the Alert Name
Paste the copied alert name into the alert name field.
Click "Create" to finalize the alert setup.
Step 7: Set Up Notifications
Make sure to enable "Send Plain Text" in the notification settings to ensure the alert is properly executed.
Double-check all settings to make sure everything is in place.
Final Step: Sit and relax
Once you've completed the steps above, your trades will be automated. The AutoTrade.it DCA strategy will begin executing trades based on the alerts you’ve set up.
Ultimate Stochastics Strategy by NHBprod Use to Day Trade BTCHey All!
Here's a new script I worked on that's super simple but at the same time useful. Check out the backtest results. The backtest results include slippage and fees/commission, and is still quite profitable. Obviously the profitability magnitude depends on how much capital you begin with, and how much the user utilizes per order, but in any event it seems to be profitable according to backtests.
This is different because it allows you full functionality over the stochastics calculations which is designed for random datasets. This script allows you to:
Designate ANY period of time to analyze and study
Choose between Long trading, short trading, and Long & Short trading
It allows you to enter trades based on the stochastics calculations
It allows you to EXIT trades using the stochastics calculations or take profit, or stop loss, Or any combination of those, which is nice because then the user can see how one variable effects the overall performance.
As for the actual stochastics formula, you get control, and get to SEE the plot lines for slow K, slow D, and fast K, which is usually not considered.
You also get the chance to modify the smoothing method, which has not been done with regular stochastics indicators. You get to choose the standard simple moving average (SMA) method, but I also allow you to choose other MA's such as the HMA and WMA.
Lastly, the user gets the option of using a custom trade extender, which essentially allows a buy or sell signal to exist for X amount of candles after the initial signal. For example, you can use "max bars since signal" to 1, and this will allow the indicator to produce an extra sequential buy signal when a buy signal is generated. This can be useful because it is possible that you use a small take profit (TP) and quickly exit a profitable trade. With the max bars since signal variable, you're able to reenter on the next candle and allow for another opportunity.
Let me know if you have any questions! Please take a look at the performance report and let me know your thoughts! :)
Gold Pro StrategyHere’s the strategy description in a chat format:
---
**Gold (XAU/USD) Trend-Following Strategy**
This **trend-following strategy** is designed for trading gold (XAU/USD) by combining moving averages, MACD momentum indicators, and RSI filters to capture sustained trends while managing volatility risks. The strategy uses volatility-adjusted stops to protect gains and prevent overexposure during erratic price movements. The aim is to take advantage of trending markets by confirming momentum and ensuring entries are not made at extreme levels.
---
**Key Components**
1. **Trend Identification**
- **50 vs 200 EMA Crossover**
- **Bullish Trend:** 50 EMA crosses above 200 EMA, and the price closes above the 200 EMA
- **Bearish Trend:** 50 EMA crosses below 200 EMA, and the price closes below the 200 EMA
2. **Momentum Confirmation**
- **MACD (12,26,9)**
- **Buy Signal:** MACD line crosses above the signal line
- **Sell Signal:** MACD line crosses below the signal line
- **RSI (14 Period)**
- **Bullish Zone:** RSI between 50-70 to avoid overbought conditions
- **Bearish Zone:** RSI between 30-50 to avoid oversold conditions
3. **Entry Criteria**
- **Long Entry:** Bullish trend, MACD bullish crossover, and RSI between 50-70
- **Short Entry:** Bearish trend, MACD bearish crossover, and RSI between 30-50
4. **Exit & Risk Management**
- **ATR Trailing Stops (14 Period):**
- Initial Stop: 3x ATR from entry price
- Trailing Stop: Adjusts to lock in profits as price moves favorably
- **Position Sizing:** 100% of equity per trade (high-risk strategy)
---
**Key Logic Flow**
1. **Trend Filter:** Use the 50/200 EMA relationship to define the market's direction
2. **Momentum Confirmation:** Confirm trend momentum with MACD crossovers
3. **RSI Validation:** Ensure RSI is within non-extreme ranges before entering trades
4. **Volatility-Based Risk Management:** Use ATR stops to manage market volatility
---
**Visual Cues**
- **Blue Line:** 50 EMA
- **Red Line:** 200 EMA
- **Green Triangles:** Long entry signals
- **Red Triangles:** Short entry signals
---
**Strengths**
- **Clear Trend Focus:** Avoids counter-trend trades
- **RSI Filter:** Prevents entering overbought or oversold conditions
- **ATR Stops:** Adapts to gold’s inherent volatility
- **Simple Rules:** Easy to follow with minimal inputs
---
**Weaknesses & Risks**
- **Infrequent Signals:** 50/200 EMA crossovers are rare
- **Potential Missed Opportunities:** Strict RSI criteria may miss some valid trends
- **Aggressive Position Sizing:** 100% equity allocation can lead to large drawdowns
- **No Profit Targets:** Relies on trailing stops rather than defined exit targets
---
**Performance Profile**
| Metric | Expected Range |
|----------------------|---------------------|
| Annual Trades | 4-8 |
| Win Rate | 55-65% |
| Max Drawdown | 25-35% |
| Profit Factor | 1.8-2.5 |
---
**Optimization Recommendations**
1. **Increase Trade Frequency**
Adjust the EMAs to shorter periods:
- `emaFastLen = input.int(30, "Fast EMA")`
- `emaSlowLen = input.int(150, "Slow EMA")`
2. **Relax RSI Filters**
Adjust the RSI range to:
- `rsiBullish = rsi > 45 and rsi < 75`
- `rsiBearish = rsi < 55 and rsi > 25`
3. **Add Profit Targets**
Introduce a profit target at 1.5% above entry:
```pine
strategy.exit("Long Exit", "Long",
stop=longStopPrice,
profit=close*1.015, // 1.5% target
trail_offset=trailOffset)
```
4. **Reduce Position Sizing**
Risk a smaller percentage per trade:
- `default_qty_value=25`
---
**Best Use Case**
This strategy excels in **strong trending markets** such as gold rallies during economic or geopolitical crises. However, during sideways or choppy market conditions, the strategy might require manual intervention to avoid false signals. Additionally, integrating fundamental analysis—like monitoring USD weakness or geopolitical risks—can enhance its effectiveness.
---
This strategy offers a balanced approach for trading gold, combining trend-following principles with risk management tailored to the volatility of the market.
Custom Buy/Sell IndicatorThis is an indicator that will help you identify the market moving trend and signal to you when to buy or sell. this is tested and runs 75% accurate. You can give it a try and leave your comment bellow or rate the simple design to further develop it more.
加密趋势追踪 Pro参数验证表(加密市场专用):
参数名称 推荐值 调整范围 特殊说明
ATR周期 7 5-14 高频交易建议5
成交量放大系数 1.5x 1.2-2.0x 应对交易所刷量行为
最小成交量 1M 500K-5M 根据币种流动性调整
通道倍数 2.0 1.5-3.0 极端行情可增至3.0
SASDv2rSensitive Altcoin Season Detector V2
This Pine Script™ code, titled "SASDv2r" (Sensitive Altcoin Season Detector version 2 revised), is designed for cryptocurrency trading analysis on the TradingView platform and tailored for those interested in tracking when altcoins might be outperforming Bitcoin, potentially indicating a market shift towards altcoins.
Feel free to use and modify. If you made it better, please let me know. Intention was to help the community with a tool for retail traders have no access to advanced, MV indicators. Solution uses classic TA only.
Use it witl TOTAL3/BTC indicator.
Please check: it gave signal just before last alt season % rose more than 250%.
Market Cap Data Fetching: The script fetches market capitalization data for Bitcoin, Ethereum, and all other altcoins (excluding Bitcoin and Ethereum) using request.security function.
Altcoin to Bitcoin Ratio: It calculates the ratio of total market cap of altcoins to Bitcoin's market cap (altToBtcRatio), which is central to identifying an "altcoin season."
Moving Averages: Several moving averages are computed for different time frames (50-day SMA, 200-day SMA, 20-day SMA, and 10-day EMA) to analyze trends in the altcoin to Bitcoin ratio.
Momentum Indicators: The script uses RSI (Relative Strength Index) and MACD (Moving Average Convergence Divergence) to gauge momentum and potential reversal points in the market.
Custom Indicators: It includes Volume Weighted Moving Average (VWMA) and a custom momentum indicator (altMomentum and altMomentumAvg) to provide additional insights into market movements.
Volatility Measurement: Bollinger Bands are calculated to assess volatility in the altcoin to Bitcoin ratio, which helps identify periods of high or low market activity.
Visual Analysis: Various plots are added to the chart for visual interpretation, including the altcoin to Bitcoin ratio, different moving averages, and Bollinger Bands.
Alt Season Detection: The script defines conditions for detecting when an "altcoin season" might be starting, based on crossovers of moving averages, RSI levels, MACD signals, and other custom criteria.
Performance Tracking: After signaling an alt season, the script evaluates the performance over the next 30 days by checking if there's been an increase in the altcoin to Bitcoin ratio, adding labels for positive or negative trends.(this one is in progress). Logic still gives false signals and aim is to identify failed signals.
Visual Signals: Labels are placed on the chart to visually indicate the beginning of a potential alt season or the performance outcome after a signal, aiding traders in making informed decisions.
b1r1nc1 buy-sell signals (MA + MACD + RSI)Kodun Açıklaması
Hareketli Ortalama (MA):
Kısa ve uzun dönem hareketli ortalamalar hesaplanır.
Alım sinyali: Kısa MA, uzun MA'yı yukarı keser.
Satım sinyali: Kısa MA, uzun MA'yı aşağı keser.
MACD:
MACD çizgisi (macd_line) ve sinyal çizgisi (signal_line) hesaplanır.
Alım sinyali: MACD çizgisi, sinyal çizgisinin üzerinde olmalıdır.
Satım sinyali: MACD çizgisi, sinyal çizgisinin altında olmalıdır.
RSI:
RSI değeri hesaplanır.
Alım sinyali: RSI, aşırı satım seviyesinin (örneğin 30) altında olmalıdır.
Satım sinyali: RSI, aşırı alım seviyesinin (örneğin 70) üzerinde olmalıdır.
Kombine Sinyaller:
Alım sinyali: Kısa MA > Uzun MA ve MACD çizgisi > Sinyal çizgisi ve RSI < 70.
Satım sinyali: Kısa MA < Uzun MA ve MACD çizgisi < Sinyal çizgisi ve RSI > 30.
Grafik Üzerinde Gösterme:
Alım ve satım sinyalleri grafik üzerinde etiketlerle gösterilir.
Hareketli ortalamalar, MACD çizgisi ve RSI değeri grafik üzerinde çizilir.
Örnek Senaryolar
Alım Sinyali:
Kısa dönem MA, uzun dönem MA'yı yukarı keser.
MACD çizgisi, sinyal çizgisinin üzerindedir.
RSI değeri 70'in altındadır (aşırı alım bölgesinde değil).
Satım Sinyali:
Kısa dönem MA, uzun dönem MA'yı aşağı keser.
MACD çizgisi, sinyal çizgisinin altındadır.
RSI değeri 30'un üzerindedir (aşırı satım bölgesinde değil).
Özelleştirme İpuçları
Parametreleri Ayarlama:
Hareketli ortalama, MACD ve RSI parametrelerini kendi stratejinize göre ayarlayabilirsiniz.
Örneğin, MACD için hızlı ve yavaş EMA uzunluklarını değiştirebilirsiniz.
Filtreler Ekleme:
Sinyalleri daha da hassaslaştırmak için ek filtreler ekleyebilirsiniz. Örneğin, hacim veya volatilite göstergeleri kullanabilirsiniz.
Stratejiye Dönüştürme:
Bu kodu bir stratejiye dönüştürerek backtest yapabilirsiniz:
MACD Indicator with Buy and Sell AlertsIntroduction
The MACD Indicator with Alerts & Manual Thresholds is a powerful and customizable MACD-based trading tool designed for traders who want more control over their buy and sell signals. This script allows users to define their own buy and sell thresholds instead of relying solely on standard MACD crossovers. The built-in alerts help traders stay informed about potential trade opportunities without constantly monitoring charts.
How It Works
This script calculates the Moving Average Convergence Divergence (MACD) using customizable fast and slow moving averages. The MACD histogram is derived from the difference between the MACD line and the signal line:
MACD Line: The difference between a fast-moving average (default 12-period EMA) and a slow-moving average (default 26-period EMA).
Signal Line: A smoothed moving average (default 9-period EMA) of the MACD line.
Histogram: The difference between the MACD line and the signal line.
Instead of using default zero-line crossovers, this script allows traders to set custom buy and sell threshold levels:
A buy signal is generated when the MACD histogram crosses above the user-defined buy threshold.
A sell signal is generated when the MACD histogram crosses below the user-defined sell threshold.
Benefits of This Indicator
Custom Thresholds: Unlike traditional MACD indicators, traders can adjust buy and sell thresholds according to their strategy.
Automated Alerts: Get notified instantly when buy or sell conditions are met.
Flexibility in Calculation: Choose between SMA or EMA for both the MACD and signal line calculations.
Clear Visualization: Histogram bars color-coded for quick analysis.
Risks and Limitations
While the MACD indicator is a widely used tool, traders should be aware of its potential risks:
Lagging Indicator: MACD is a trend-following indicator, meaning it may generate signals with some delay.
False Signals in Ranging Markets: MACD works best in trending markets but can produce misleading signals in sideways conditions.
Threshold Optimization Required: Users need to experiment with different buy/sell thresholds to align with their trading strategy and market conditions.
Improving Accuracy with Additional Indicators
For better accuracy and confirmation, combining this MACD strategy with other indicators is recommended:
1. EMA 200 as a Trend Filter
Use the 200-period EMA to determine the overall trend direction.
Consider buying only when price is above EMA 200 (uptrend) and selling only when price is below EMA 200 (downtrend).
2. RSI (Relative Strength Index) for Overbought/Oversold Conditions
RSI (14) can help filter false MACD signals.
A MACD buy signal is stronger when RSI is below 30 (oversold condition).
A MACD sell signal is more reliable when RSI is above 70 (overbought condition).
3. Support & Resistance Levels
Consider placing trades near major support or resistance zones to avoid chasing breakouts.
MACD signals are more effective when they align with these key price levels.
Conclusion
The MACD Indicator with Alerts & Manual Thresholds offers a flexible and powerful approach to trading by allowing users to define their own thresholds. However, for best results, it should be combined with additional indicators such as EMA 200, RSI, and support/resistance levels. Traders should backtest and optimize settings to suit their market conditions and trading style.
By using this indicator alongside proper risk management techniques, traders can enhance their decision-making process and improve their overall trading performance.
Happy Trading!
First 9:15-9:20 Candle Levels (Daily)This indicator captures the closing price of the first 5-minute candle (9:15 - 9:20 AM) every trading day. It then calculates 0.09% above and below this closing price and plots horizontal lines. The indicator resets daily at 9:15 AM, ensuring it always tracks the latest market open. After 9:20 AM, the calculated levels remain visible throughout the day. The upper level is displayed in green, while the lower level is in red. This tool helps traders identify key price levels early in the session, useful for setting stop-losses, take-profit zones, or identifying potential breakout points.
Estrategia RSI y EMA para Forex y CriptoRSI (Relative Strength Index): Se usa para detectar condiciones de sobrecompra y sobreventa.
EMA (Exponential Moving Average): Filtra las señales de entrada cuando el precio cruza por encima o por debajo de la media móvil.
Simple MA Crossover StrategyKey Features
Simple and Clean:
The script avoids complex conditions and focuses on a straightforward moving average crossover strategy.
Customizable Inputs:
You can adjust the lengths of the moving averages and RSI settings in the inputs.
Error-Free:
The script is designed to compile and run without errors.
How to Use
Copy and paste the script into TradingView's Pine Script editor.
Save the script and add it to your chart.
Adjust the input parameters (e.g., moving average lengths, RSI levels) as needed.
The script will plot buy/sell signals on the chart based on the strategy.
Example Inputs
CM_Stochastic_MTF_3TimeframesSame as the original CM_Stochastic_MTF but with 3 timeframes, slightly improved signals.
Multi TimeFrame Stochastic Loaded With Features.
Basics:
Ability to turn On/Off Crosses Only Above or Below High/Low Lines.
User sets Values Of High/Low lines.
Ability to turn On/Off All Crosses, Both BackGround Highlights and “B”, “S” Letters.
Ability to turn On/Off BackGround Highlights if Stoch is Above Or Below High/Low Lines.
Ability to All or Any Combination of these Features.
Multi Timeframe Capabilities:
Stoch defaults to current timeframe. You can change to many other timeframes.
Ability to turn On/Off Plotting 2nd Stoch on same TimeFrame with different settings
Ability to turn On/Off Plotting 2nd Stoch on Different TimeFrame
Much More…All Inputs and Options are Adjustable in Inputs Tab.
Indicator by GaripovНахождение сигналов по методу Вайкоффа. Поиск сигналов Spring и Upthrust для нахождения точек входа
MABS algo box Time Algothis indicator helps with time zone where market rejects hopefully u can use it
EMA50EMA150#gangesThis strategy is a trading system that uses Exponential Moving Averages (EMA) and Simple Moving Averages (SMA) to determine entry and exit points for trades. Here's a breakdown of the key components and logic:
Key Indicators:
EMA 50 (Exponential Moving Average with a 50-period window): This is a more responsive moving average to recent price movements.
EMA 150 (Exponential Moving Average with a 150-period window): A slower-moving average that helps identify longer-term trends.
SMA 150 (Simple Moving Average with a 150-period window): This acts as a stop-loss indicator for long trades.
User Inputs:
Start Date and End Date: The strategy is applied only within this date range, ensuring that trading only occurs during the specified period.
Trade Conditions:
Buy Signal (Long Position):
A buy is triggered when the 50-period EMA crosses above the 150-period EMA (indicating the price is gaining upward momentum).
Sell Signal (Short Position):
A sell is triggered when the 50-period EMA crosses below the 150-period EMA (indicating the price is losing upward momentum and moving downward).
Stop-Loss for Long Positions:
If the price drops below the 150-period SMA, the strategy closes any long positions as a stop-loss mechanism to limit further losses.
Re-Entry After Stop-Loss:
After a stop-loss is triggered, the strategy monitors for a re-entry signal:
Re-buy: If the price crosses above the 150-period EMA from below, a new long position is triggered.
Re-sell: If the 50-period EMA crosses below the 150-period EMA, a new short position is triggered.
Trade Execution:
Buy or Sell: The strategy enters trades based on the conditions described and exits them if the stop-loss conditions are met.
Re-entry: After a stop-loss, the strategy tries to re-enter the market based on the same buy/sell conditions.
Risk Management:
Commission and Slippage: The strategy includes a 0.1% commission on each trade and allows for 3 pips of slippage to account for real market conditions.
Visuals:
The strategy plots the 50-period EMA (blue), 150-period EMA (red), and 150-period SMA (orange) on the chart, helping users visualize the key levels for decision-making.
Date Range Filter:
The strategy only executes trades during the user-defined date range, which helps limit trades to a specific period and avoid backtesting errors on irrelevant data.
Stop-Loss Logic:
The stop-loss is triggered when the price crosses below the 150-period SMA, closing the long position to protect against significant drawdowns.
Overall Strategy Goal:
The strategy aims to capture long-term trends using the EMAs for entry signals, while protecting profits through the stop-loss mechanism and offering a way to re-enter the market after a stop-loss.