Forecasting
Lorentzian Volatility Filtered SignalsThis indicator uses Lorentzian classification and volume to print accurate buy and sell signals with a stop loss and take profit.
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.
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.
Autocorrelation Price Forecasting Backtesting [ScrimpleAI]This script presents an innovative trading backtesting strategy designed to leverage autocorrelation models and linear regression on historical price returns . The goal is to forecast future price movements, identify recurring market cycles, and optimize trading decisions.
Main Functionality
This backtesting script is built to simulate trades by integrating historical autocorrelation with dynamic price forecasting . It incorporates risk management, stop-loss features, and an advanced backtesting date range, providing traders with maximum flexibility for evaluating strategies.
Key Features
1. Customizable Date Range for Backtesting
Allows users to define the exact date period for backtesting their strategies, ensuring they can fine-tune results for specific historical scenarios.
- Inputs: Start and End dates (day, month, year).
2. Autocorrelation Price Forecasting
- Detects cycles in market movements using the `ta.correlation` function.
- Highlights significant cycles when the autocorrelation exceeds a threshold value (default: 0.50).
- Stores projected values based on autocorrelation and linear regression of percentage returns for enhanced forecasting accuracy.
3. Forecast Threshold and Profit Assessment
- Evaluates hypothetical gains by comparing forecasted future prices to the current price.
- Customizable threshold gains to determine minimum profitability requirements for opening trades.
4. Strategy Side
- Long or Short Mode: Users can choose to test either long or short strategies to align with their trading approach.
5. Risk and Trade Management
- Order Sizing: Adjust position size as a percentage of the portfolio.
- Stop-Loss Integration: Dynamically calculates stop-loss based on user-defined percentages.
- Take Profit Target: Automatically sets take-profit levels based on forecasted gains.
6. Visual Alerts
- Provides clear visual signals of long and short entries on the chart, including labels and dynamic coloring.
- Forecasted prices are displayed directly on the chart as a continuous line, enhancing decision-making clarity.
Practical Applications
1. Cycle Detection: Utilize autocorrelation to identify repetitive market behaviors and cycles.
2. Forecasting for Backtesting: Simulate trades and assess the profitability of various strategies based on future price predictions.
3. Risk Management: Test different stop-loss and take-profit configurations.
4. Custom Period Analysis: Evaluate strategy performance in specific historical market conditions using the date range filter.
Core Logic Walkthrough
1. Autocorrelation for Cycle Detection:
- Historical prices are analyzed for recurring patterns using the `ta.correlation` function.
- If a significant cycle is detected (above the `signal_threshold`), the `linreg_values` (linear regression of returns) are stored for price projection.
2. Future Price Estimation: Forecasted price is calculated based on linear regression values and current price movements.
3. Trade Entry Logic
Long Trades
- Triggered if the hypothetical gain exceeds the threshold gain.
- Sets a take-profit level based on the projected future price.
- Includes an optional stop-loss based on user-defined percentages.
Short Trades
- Triggered if the hypothetical gain is less than the negative of the threshold gain.
- Configures take-profit and stop-loss levels for bearish trades.
4. Risk Management
- Position Sizing: Automatically calculates the order size as a percentage of the portfolio.
- Stop-Loss: Dynamically adjusts stop-loss levels to minimize risk.
5. Date Range Filtering: Ensures trades are executed only within the defined backtesting period.
Example Use Case: Backtesting with Autocorrelation
- A trader analyzes a 6-month period using 50 historical bars for autocorrelation.
- Sets a threshold gain of 10% and enables a stop-loss at 5%.
- Evaluates the effectiveness of a long-only strategy in this period to assess its profitability and risk-adjusted performance.
If you find this strategy useful or have ideas for improvements, leave a comment! What new features would you like to see in this strategy?
CRP Biased (BITX)### **CRP Biased (BITX) Indicator Description:**
The **CRP Biased (BITX)** indicator provides a dynamic, trend-following tool designed to identify market direction and potential trade opportunities. It combines key elements like volatility bands, trend lines, and moving averages to help traders make informed decisions.
- **Trend Identification**: The indicator utilizes a hybrid line that blends key market references, helping to smooth price action and highlight prevailing market trends. The line dynamically changes color to reflect whether the market is bullish or bearish.
- **Support and Resistance Bands**: With adjustable volatility bands, the indicator marks potential support and resistance levels, allowing traders to spot price extremes and areas of potential reversal.
- **Trade Signals**: Buy and sell signals are generated when the price crosses above or below key levels, helping traders capture potential market moves. These signals are displayed as clear markers on the chart for easy identification.
- **Market Insight**: The indicator includes additional visual elements like the **9 EMA** and **VWAP** to provide further insight into market conditions and reinforce signal reliability.
Ideal for traders who want a comprehensive and visually clear indicator for identifying trends, support/resistance levels, and entry signals in real time.
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.
Institutional Moves DetectorIndicator Name: Institutional Pattern Detector
What It Does:
Trend Following: It uses a Moving Average (MA) to understand the general direction of the price. The MA is like a smoothed-out line of the price over time, showing if the price trend is going up or down.
Volatility Measurement: The script employs Bollinger Bands (BB) to see how much the price is fluctuating. Bollinger Bands create an upper and lower "channel" around the price, which gets wider or narrower based on how volatile the price is.
Volume Check: It looks at trading volume to find times when there's unusually high activity, which could mean big players (institutions like banks or funds) are trading. It flags this when the volume is 1.5 times more than the average volume of the last 100 bars.
Pattern Detection for Trading Signals:
Entry Signal ("IN"): When there's high volume and the price is above the upper Bollinger Band, it suggests there might be strong buying from big institutions. This could mean the price might keep going up.
EXIT Signal ("OUT"): If there's high volume and the price falls below the lower Bollinger Band, it indicates possible strong selling pressure from institutions, suggesting the price might go down.
Visual Cues:
An orange label "IN" appears below the price bar for entry signals.
A red label "OUT" appears above the price bar for exit signals.
The moving average line is plotted on the chart in orange to help you see the trend.
Alerts: The script can alert you when these entry or exit signals occur, so you can get notifications without needing to stare at the chart all day.
For New Traders:
This indicator helps you spot when big traders might be influencing the market, potentially giving you a clue about when to enter or exit.
Remember, this is one tool among many. You should not base your trading solely on this; combine it with other analysis methods.
It's always wise to practice with a demo account before using real money to get a feel for how these signals work in actual market conditions.
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.
MABS algo box Time Algothis indicator helps with time zone where market rejects hopefully u can use it
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.
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.
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.
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
XAU/USD Swing Trading Strategy//@version=5
indicator("XAU/USD Swing Trading Strategy", overlay=true)
// Inputs
ema200_length = input.int(200, title="200 EMA Length")
ema50_length = input.int(50, title="50 EMA Length")
ema100_length = input.int(100, title="100 EMA Length")
rsi_length = input.int(14, title="RSI Length")
rsi_overbought = input.int(70, title="RSI Overbought Level")
rsi_oversold = input.int(30, title="RSI Oversold Level")
fib_levels = input.string("38.2, 50, 61.8", title="Fibonacci Levels")
// EMAs
ema200 = ta.ema(close, ema200_length)
ema50 = ta.ema(close, ema50_length)
ema100 = ta.ema(close, ema100_length)
// RSI
rsi = ta.rsi(close, rsi_length)
// Fibonacci Retracement Levels
fib_382 = 0.382
fib_500 = 0.5
fib_618 = 0.618
// Plot EMAs
plot(ema200, color=color.blue, title="200 EMA", linewidth=2)
plot(ema50, color=color.orange, title="50 EMA", linewidth=1)
plot(ema100, color=color.red, title="100 EMA", linewidth=1)
// Plot RSI
hline(rsi_overbought, "Overbought", color=color.red)
hline(rsi_oversold, "Oversold", color=color.green)
// Candlestick Patterns
bullish_engulfing = ta.crossover(close , open ) and close > open and close < open
bearish_engulfing = ta.crossover(open , close ) and close < open and close > open
pin_bar_bullish = (low < low and close > (high + low) / 2)
pin_bar_bearish = (high > high and close < (high + low) / 2)
// Trend Direction
uptrend = close > ema200
downtrend = close < ema200
// Entry Signals
long_signal = uptrend and bullish_engulfing and rsi > rsi_oversold
short_signal = downtrend and bearish_engulfing and rsi < rsi_overbought
// Plot Signals
plotshape(series=long_signal, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY")
plotshape(series=short_signal, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL")
// Fibonacci Levels
fib_high = ta.highest(high, 50)
fib_low = ta.lowest(low, 50)
fib_range = fib_high - fib_low
plot(fib_high - fib_range * fib_382, color=color.purple, title="38.2% Fib")
plot(fib_high - fib_range * fib_500, color=color.blue, title="50% Fib")
plot(fib_high - fib_range * fib_618, color=color.orange, title="61.8% Fib")
// Alerts
alertcondition(long_signal, title="Buy Signal", message="BUY XAU/USD")
alertcondition(short_signal, title="Sell Signal", message="SELL XAU/USD")
TrendMasterPro_FekonomiTrend Change and Start Signals with Weighted Conditions
The Trend Change and Start Signals with Weighted Conditions indicator leverages various technical analysis tools to generate reliable buy and sell signals. This indicator helps investors more accurately identify trend changes and start signals in the market.
Features:
Utilizes popular technical analysis tools such as MACD, RSI, EMA, and Ichimoku Cloud.
Enhances signal accuracy with additional indicators like ADX and Volume Increase.
Allows users to adjust the weights of each condition to set their importance.
The Confidence Level parameter lets you adjust the accuracy rate of the signals.
Visual Signals make it easy to track buy and sell points directly on the chart.
How It Works:
Condition Weights: Users assign weights to indicators like MACD, RSI, EMA, and Ichimoku Cloud. If you have no idea, use default settings.
Condition Fulfillment: Checks if the conditions for each indicator are met.
Confidence Level: The total weight of the fulfilled conditions must exceed the user-defined confidence level.
Signal Generation: When these conditions are met, a buy or sell signal is generated and visually displayed on the chart.
Customization:
Personalize Signals: By adjusting the weights of the indicators used, you can personalize the signals to match your trading strategy and preferences.
Use Cases:
Short-Term Investments: Identify quick trend changes for short-term trading decisions.
Long-Term Investments: Detect long-term trend starts and changes for strategic investment decisions.
Technical Analysis: Combine different technical analysis tools for more comprehensive and reliable analyses.
With this indicator, you can better understand market movements and make more informed investment decisions. Try it now and enhance your trading strategy!
by Fekonomi
VDM Cipher (BTC+ALT)Анализирует ключевые метрики и помогает выявлять оптимальные моменты для сделок.
🔹 Идеально подходит для трейдинга BTC и альткоинов
🔹 Гибкий, адаптивный и надежный
🔹 Разработан с учетом реальных рыночных условий
🔥 Важно! В течение 60 дней индикатор будет активно дорабатываться!
🔜 Следующее обновление:
✅ Автоматическое определение уровней поддержки и сопротивления
✅ Учёт объёмов для ещё большей точности
✅ Связка всех данных для создания мощных сигналов
✅ Автооповещения о возможных входах в Лонг и Шорт
1AM CRT (Long)1am utc-5 CRT long execution 2 and 3 am than take profit
1am utc-5 CRT long execution 2 and 3 am than take profit1am utc-5 CRT long execution 2 and 3 am than take profit1am utc-5 CRT long execution 2 and 3 am than take profit1am utc-5 CRT long execution 2 and 3 am than take profit1am utc-5 CRT long execution 2 and 3 am than take profit1am utc-5 CRT long execution 2 and 3 am than take profit1am utc-5 CRT long execution 2 and 3 am than take profit1am utc-5 CRT long execution 2 and 3 am than take profit1am utc-5 CRT long execution 2 and 3 am than take profit
Trend Start and Change and Signals by fekonomiTrend Change and Start Signals Indicator
This indicator combines multiple technical analysis tools to generate buy and sell signals based on trend changes and market conditions. It uses the following components:
MACD (Moving Average Convergence Divergence): Identifies trend direction and momentum.
RSI (Relative Strength Index): Measures the speed and change of price movements.
EMA (Exponential Moving Average): Tracks the average price over a specific period, giving more weight to recent prices.
ADX (Average Directional Index): Indicates the strength of a trend.
Ichimoku Cloud: Provides support and resistance levels, trend direction, and momentum.
Volume Increase: Checks for significant increases in trading volume.
How It Works
Buy Signal: Generated when at least three of the following conditions are met:
MACD line crosses above the signal line.
RSI is above 50.
Short EMA crosses above the long EMA and ADX indicates a strong trend.
Price is above the Ichimoku Cloud and volume is significantly higher than the average.
Sell Signal: Generated when at least three of the following conditions are met:
MACD line crosses below the signal line.
RSI is below 50.
Short EMA crosses below the long EMA and ADX indicates a strong trend.
Price is below the Ichimoku Cloud.
Visualization
Buy signals are marked with green "BUY" labels below the bars.
Sell signals are marked with red "SELL" labels above the bars.
The indicator also plots the short and long EMAs, and the Ichimoku Cloud for visual reference.
This indicator helps traders identify potential trend changes and entry/exit points based on a combination of reliable technical indicators.
Feel free to customize the settings to fit your trading strategy! If you have any questions or need further assistance, let me know. Happy trading! 📈
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quartile retracement and expansion NQ and MNQ first 30 minutesCME_MINI:NQ1! white line (open us market 9.30 NY)
yellow line (third quartile q3)
orange line (second quartile q2)
red line (first quartile q1)
first 30 minutes
