Hypersonic MAIN Intersection StrategyStrategy that shows the intersection point of two Items of Interest. Backtesting showed the best was Candle (close) & EMA 9.
1. I added 2 auxiliary EMA's that you can view or hide because I know some people like to see the EMA 200.
2. You select the First and Second Item of Interest and it'll plot it in the background. First EMA and Second EMA correspond to whether you select them or not. The BWMA stuff is near the bottom. And in the middle is how you can show/hide the data table in the top-right. If you choose "candle" then it'll use the close of the candle for plotting.
3. you can show/hide different lines in the Style section.
4. on the Style tab of Settings, you can turn off the whole table as well as the Trades, just the signal of the trade, or just the quantity of the trade.
Indicatori e strategie
Cycle Biologique Strategy // (\_/)
// ( •.•)
// (")_(")
//@fr33domz
Experimental Research: Cycle Biologique Strategy
Overview
The "Cycle Biologique Strategy" is an experimental trading algorithm designed to leverage periodic cycles in price movements by utilizing a sinusoidal function. This strategy aims to identify potential buy and sell signals based on the behavior of a custom-defined biological cycle.
Key Parameters
Cycle Length: This parameter defines the duration of the cycle, set by default to 30 periods. The user can adjust this value to optimize the strategy for different asset classes or market conditions.
Amplitude: The amplitude of the cycle influences the scale of the sinusoidal wave, allowing for customization in the sensitivity of buy and sell signals.
Offset: The offset parameter introduces phase shifts to the cycle, adjustable within a range of -360 to 360 degrees. This flexibility allows the strategy to align with various market rhythms.
Methodology
The core of the strategy lies in the calculation of a periodic cycle using a sinusoidal function.
Trading Signals
Buy Signal: A buy signal is generated when the cycle value crosses above zero, indicating a potential upward momentum.
Sell Signal: Conversely, a sell signal is triggered when the cycle value crosses below zero, suggesting a potential downtrend.
Execution
The strategy executes trades based on these signals:
Upon receiving a buy signal, the algorithm enters a long position.
When a sell signal occurs, the strategy closes the long position.
Visualization
To enhance user experience, the periodic cycle is plotted visually on the chart in blue, allowing traders to observe the cyclical nature of the strategy and its alignment with market movements.
Enhanced 3-Month Reversal Strategy v6 (TSLA)### **Strategy Overview: Enhanced 3-Month Reversal Strategy v6 for TSLA**
This custom-designed strategy is tailored specifically for **Tesla Inc. (TSLA)**, incorporating a multi-factor scoring model to capture short-term mean-reversion opportunities within a broader trend-aware framework.
---
### **Methodology**
The strategy blends **technical reversal signals** with **trend filtering** and **volatility-adjusted risk management**. It assigns dynamic weights to six core technical indicators for both long and short entries:
- **RSI (7-period):** Identifies overbought/oversold conditions based on percentile ranks.
- **MACD (8/17/9):** Captures short-term momentum shifts with trend confirmation.
- **ADX (14):** Ensures trades are taken only in strong trending environments.
- **Volume Spike:** Confirms breakout or reversal intensity.
- **SMA Crossovers (20 & 50):** Filters trend direction on a medium scale.
- **Implied Volatility Rank (126-period HV proxy):** Measures relative volatility levels to confirm timing.
All inputs are scored based on weighted signals, and trades are only entered when the composite score exceeds a defined threshold.
---
### **Features**
- ✅ **Volatility-based dynamic stop-loss and take-profit** for adaptive risk management.
- ✅ **Intraday trading window filter** to restrict trades to regular market hours (default: 9AM–4PM EST).
- ✅ **Trend filter (200-SMA)** to allow long trades only in bullish markets.
- ✅ **Score threshold parameters** are fully adjustable for optimization.
- ✅ **Individual trade P&L tracking** via chart annotations.
---
### **Backtest Summary**
- **Time period:** Backtested on TSLA from **January 2022 to March 2025**.
- **Data granularity:** 15-minute and 1-hour timeframes show best performance consistency.
- **Market regime:** Performs well in both trending and volatile mean-reversion phases.
---
### **Best Input Parameters (from hyperparameter tuning)**
**Long Entry Weights:**
- RSI: `0.35`
- IV Rank: `0.10`
- MACD: `0.15`
- SMA Condition: `0.25`
- ADX: `0.15`
- Volume Spike: `0.25`
**Short Entry Weights:**
- RSI: `0.20`
- IV Rank: `0.15`
- MACD: `0.30`
- SMA Condition: `0.00`
- ADX: `0.15`
- Volume Spike: `0.30`
**Other Settings:**
- MACD Signal Period: `9`
- RSI Length: `7`
- IV Period: `126`
- SMA Periods: `20 & 50`
- Trend Filter SMA: `200`
- Stop Loss / Take Profit: `1.0 × HV` multiplier
---
--- Optuna 优化完成 ---
最佳 Trial 编号: 29
最佳 Total Return : 17927.75678703037
最佳参数:
rsi_length: 13
iv_length: 140
macd_fast: 7
macd_slow: 30
adx_length: 25
sma_short_period: 21
sma_long_period: 78
volume_ma_period: 14
rsi_low_percentile: 21
rsi_high_percentile: 60
iv_low_percentile: 11
iv_high_percentile: 89
take_profit_mult: 4.0
stop_loss_mult: 5.0
bullish_threshold: 0.65
bearish_threshold: 0.9
rsi_bull_weight: 0.5
iv_bull_weight: 0.25
macd_bull_weight: 0.30000000000000004
sma_bull_weight: 0.1
adx_bull_weight: 0.0
volume_bull_weight: 0.3
rsi_bear_weight: 0.5
iv_bear_weight: 0.2
macd_bear_weight: 0.15000000000000002
sma_bear_weight: 0.1
adx_bear_weight: 0.1
volume_bear_weight: 0.15000000000000002
macd_signal: 9
EMA 5m Nightingale🔁 EMA 5m Nightingale Strategy — Smart Compounding Recovery
This strategy combines classic EMA cross entries with a disciplined Nightingale position sizing system to manage losses and enhance recovery.
📌 Features:
✅ EMA 20/50 crossover entries, confirmed by trend (EMA 200)
🔄 Fixed-step Nightingale logic:
Trade sizing steps: $200 → $200 → $250 → $400 → $800 → $1600 → $3200 → $6000
Automatically resets to $200 after a profitable trade
🛑 2% equity-based stop loss
📉 Trade size increases only after a loss — never on a win
🔔 Built-in buy/sell alerts for automation or notifications
Perfect for testing controlled risk escalation and recovery on volatile 3-minute or 5-minute charts.
TESTING NOW FOR XRP 5M
Bollinger Band Long & Short Strategy### **Strategy Summary: Bollinger Band Long & Short Strategy**
#### **Bollinger Band Setup:**
- Uses a **20-period Simple Moving Average (SMA)** as the basis.
- **Standard deviation multiplier = 1.5**.
- Calculates **upper** and **lower Bollinger Bands**.
#### **Entry Conditions:**
- **Short Trade:**
- A candle must fully form **above** the upper Bollinger Band.
- The **low of this candle** must be broken by one of the **next four candles**.
- A **short position** is then entered.
- **Long Trade:**
- A candle must fully form **below** the lower Bollinger Band.
- The **high of this candle** must be broken by one of the **next four candles**.
- A **long position** is then entered.
#### **Risk Management:**
- **Stop Loss:**
- **Short Trade:** High of the candle that formed outside the upper Bollinger Band.
- **Long Trade:** Low of the candle that formed outside the lower Bollinger Band.
- **Position Sizing:**
- The number of shares/contracts is calculated such that the **maximum loss per trade is INR 4000**.
- **Risk-to-Reward Ratio:**
- **Target Profit = 3x Risk (1:3 R:R).**
- Once **1:2 profit is reached, the stop loss moves to breakeven**.
- The trade is **closed at 1:3 profit**.
#### **Additional Features:**
- **Trades are only considered if the breakout happens within four candles** after the alert candle.
- **Bollinger Bands are plotted for visibility** on the chart.
Let me know if you need any modifications! 🚀
Mean Reversion with Volume AnalysisKey Features of This Script:
Adaptive Parameters
RSI thresholds adjust based on market volatility
Uses ATR to measure current volatility
Volume Confirmation
Only enters trades when volume is above average (vol_ratio > vol_threshold)
Volume spike helps confirm potential reversions
Multi-Timeframe Analysis
Optional higher timeframe confirmation
Ensures you’re not fighting against the larger trend
Volatility Filters
Uses normalized ATR to avoid trading in extremely volatile conditions
BB width provides visual indication of current volatility
Visual Feedback
Plots buy/sell signals directly on the chart
Information panel shows key metrics
Customization Tips:
Adjust the length parameter based on the timeframe you’re trading
Modify bb_mult to be more aggressive (lower value) or conservative (higher value)
The vol_threshold can be increased for stricter volume confirmation
Fine-tune the ATR filter (0.03 in the script) based on your risk tolerance
This script provides both visual signals and automated strategy execution. You can use it in TradingView’s strategy tester to backtest its performance on different assets and timeframes.
Scalping Strategy Pro | Supertrend + VWAP + RSIDashboard Features:
Current Signal (BUY / SELL / No Trade)
Entry Price, Stop Loss, Take Profit
Real-time Risk:Reward ratio
Signal color highlight (green for buy, red for sell)
Responsive & clean layout for mobile or PC
Multi-EMA Crossover StrategyMulti-EMA Crossover Strategy
This strategy uses multiple exponential moving average (EMA) crossovers to identify bullish trends and execute long trades. The approach involves progressively stronger signals as different EMA pairs cross, indicating increasing bullish momentum. Each crossover triggers a long entry, and the intensity of bullish sentiment is reflected in the color of the bars on the chart. Conversely, bearish trends are represented by red bars.
Strategy Logic:
First Long Entry: When the 1-day EMA crosses above the 5-day EMA, it signals initial bullish momentum.
Second Long Entry: When the 3-day EMA crosses above the 10-day EMA, it confirms stronger bullish sentiment.
Third Long Entry: When the 5-day EMA crosses above the 20-day EMA, it indicates further trend strength.
Fourth Long Entry: When the 10-day EMA crosses above the 40-day EMA, it suggests robust long-term bullish momentum.
The bar colors reflect these conditions:
More blue bars indicate stronger bullish sentiment as more short-term EMAs are above their longer-term counterparts.
Red bars represent bearish conditions when short-term EMAs are below longer-term ones.
Example: Bitcoin Trading on a Daily Timeframe
Bullish Scenario:
Imagine Bitcoin is trading at $30,000 on March 31, 2025:
First Signal: The 1-day EMA crosses above the 5-day EMA at $30,000. This suggests initial upward momentum, prompting a small long entry.
Second Signal: A few days later, the 3-day EMA crosses above the 10-day EMA at $31,000. This confirms strengthening bullish sentiment; another long position is added.
Third Signal: The 5-day EMA crosses above the 20-day EMA at $32,500, indicating further upward trend development; a third long entry is executed.
Fourth Signal: Finally, the 10-day EMA crosses above the 40-day EMA at $34,000. This signals robust long-term bullish momentum; a fourth long position is entered.
Bearish Scenario:
Suppose Bitcoin reverses from $34,000 to $28,000:
The 1-day EMA crosses below the 5-day EMA at $33,500.
The 3-day EMA dips below the 10-day EMA at $32,000.
The 5-day EMA falls below the 20-day EMA at $30,000.
The final bearish signal occurs when the 10-day EMA drops below the 40-day EMA at $28,000.
The bars turn increasingly red as bearish conditions strengthen.
Advantages of This Strategy:
Progressive Confirmation: Multiple crossovers provide layered confirmation of trend strength.
Visual Feedback: Bar colors help traders quickly assess market sentiment and adjust positions accordingly.
Flexibility: Suitable for trending markets like Bitcoin during strong rallies or downturns.
Limitations:
Lagging Signals: EMAs are lagging indicators and may react slowly to sudden price changes.
False Breakouts: Crossovers in choppy markets can lead to whipsaws or false signals.
This strategy works best in trending markets and should be combined with additional risk management techniques, e.g., stop loss or optimal position sizes (Kelly Criterion).
The Crypto Wizard# The Crypto Wizard (Cwiz)
## Advanced Trading Framework for Cryptocurrency Markets
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The Crypto Wizard (Cwiz) offers a customizable, robust trading framework designed specifically for cryptocurrency market volatility. This open-source foundation provides essential components for building profitable automated trading strategies.
### Key Performance Indicators
| Metric | Value |
|--------|-------|
| Profit Factor | 1.992 |
| Sortino Ratio | 5.589 |
| Win Rate | ~40% |
| Max Drawdown | 15.82% |
### Core Features
- **Position Scaling System**: Intelligent position sizing with customizable multipliers and risk controls
- **Multi-layered Exit Strategy**: Combined take-profit, fixed stop-loss, and trailing stop mechanisms
- **Customizable Entry Framework**: Easily integrate your own entry signals and conditions
- **Comprehensive Visualization Tools**: Real-time performance tracking with position labels and indicators
### Setup Instructions
```pine PHEMEX:FARTCOINUSDT.P
// 1. Add to your chart and configure basic parameters
// 2. Adjust risk parameters based on your risk tolerance
// 3. Customize entry conditions or use defaults
// 4. Back-test across various market conditions
// 5. Enable live trading with careful monitoring
```
### Risk Management
Cwiz implements a sophisticated risk management system with:
- Automatic position size scaling
- User-defined maximum consecutive trades
- ATR-based dynamic stop loss placement
- Built-in circuit breakers for extreme market conditions
### Customization Options
The framework is designed for flexibility without compromising core functionality. Key customization points:
- Entry signal generation
- Position sizing parameters
- Stop loss and take profit multipliers
- Visualization preferences
### Recommended Usage
Best suited for volatile cryptocurrency markets with sufficient liquidity. Performs optimally in trending conditions but includes mechanisms to manage ranging markets.
---
*Disclaimer: Trading involves significant risk. Past performance is not indicative of future results. Always test thoroughly before live deployment.*
Fibonacci BB Strategy with RSI + 2% Exit📈 Fibonacci BB Strategy with RSI + 2% Profit Exit
This strategy combines a VWMA-based Bollinger Band system with RSI confirmation and a 2% profit-taking mechanism, offering a balanced blend of trend and momentum trading.
🔍 Key Features:
✅ VWMA-Based Bands: Uses a 200-period Volume Weighted Moving Average (VWMA) to create dynamic support and resistance bands with standard deviation. Helps capture trend direction with volume-weighted precision.
✅ Entry Signals:
Long Entry: When price crosses above the upper VWMA band.
Short Entry: When price crosses below the lower VWMA band.
✅ Exit Conditions:
Profit Target: Positions close automatically at a 2% profit (customizable).
RSI-Based Exit:
Longs close when RSI < 30 (oversold).
Shorts close when RSI > 70 (overbought).
✅ Built-in Risk Management: Avoids greed-based exits by locking in profits early or exiting on reversal signals.
⚙️ User Inputs:
VWMA length (default: 200)
Deviation multiplier for bands (default: 3.0)
RSI length (default: 14)
Profit target in % (default: 2%)
🧠 How to Use:
Works best in strong trending markets.
Can be combined with higher-timeframe trend filters or volume analysis.
Suitable for both swing trading and intraday strategies.
Stock Buy SignalThis is for daily purchase strategy, buying at crosses of super trend followed by exit at 3%
02 SMC + BB Breakout (Improved)This strategy combines Smart Money Concepts (SMC) with Bollinger Band breakouts to identify potential trading opportunities. SMC focuses on identifying key price levels and market structure shifts, while Bollinger Bands help pinpoint overbought/oversold conditions and potential breakout points. The strategy also incorporates higher timeframe trend confirmation to filter out trades that go against the prevailing trend.
Key Components:
Bollinger Bands:
Calculated using a Simple Moving Average (SMA) of the closing price and a standard deviation multiplier.
The strategy uses the upper and lower bands to identify potential breakout points.
The SMA (basis) acts as a centerline and potential support/resistance level.
The fill between the upper and lower bands can be toggled by the user.
Higher Timeframe Trend Confirmation:
The strategy allows for optional confirmation of the current trend using a higher timeframe (e.g., daily).
It calculates the SMA of the higher timeframe's closing prices.
A bullish trend is confirmed if the higher timeframe's closing price is above its SMA.
This helps filter out trades that go against the prevailing long-term trend.
Smart Money Concepts (SMC):
Order Blocks:
Simplified as recent price clusters, identified by the highest high and lowest low over a specified lookback period.
These levels are considered potential areas of support or resistance.
Liquidity Zones (Swing Highs/Lows):
Identified by recent swing highs and lows, indicating areas where liquidity may be present.
The Swing highs and lows are calculated based on user defined lookback periods.
Market Structure Shift (MSS):
Identifies potential changes in market structure.
A bullish MSS occurs when the closing price breaks above a previous swing high.
A bearish MSS occurs when the closing price breaks below a previous swing low.
The swing high and low values used for the MSS are calculated based on the user defined swing length.
Entry Conditions:
Long Entry:
The closing price crosses above the upper Bollinger Band.
If higher timeframe confirmation is enabled, the higher timeframe trend must be bullish.
A bullish MSS must have occurred.
Short Entry:
The closing price crosses below the lower Bollinger Band.
If higher timeframe confirmation is enabled, the higher timeframe trend must be bearish.
A bearish MSS must have occurred.
Exit Conditions:
Long Exit:
The closing price crosses below the Bollinger Band basis.
Or the Closing price falls below 99% of the order block low.
Short Exit:
The closing price crosses above the Bollinger Band basis.
Or the closing price rises above 101% of the order block high.
Position Sizing:
The strategy calculates the position size based on a fixed percentage (5%) of the strategy's equity.
This helps manage risk by limiting the potential loss per trade.
Visualizations:
Bollinger Bands (upper, lower, and basis) are plotted on the chart.
SMC elements (order blocks, swing highs/lows) are plotted as lines, with user-adjustable visibility.
Entry and exit signals are plotted as shapes on the chart.
The Bollinger band fill opacity is adjustable by the user.
Trading Logic:
The strategy aims to capitalize on Bollinger Band breakouts that are confirmed by SMC signals and higher timeframe trend. It looks for breakouts that align with potential market structure shifts and key price levels (order blocks, swing highs/lows). The higher timeframe filter helps avoid trades that go against the overall trend.
In essence, the strategy attempts to identify high-probability breakout trades by combining momentum (Bollinger Bands) with structural analysis (SMC) and trend confirmation.
Key User-Adjustable Parameters:
Bollinger Bands Length
Standard Deviation Multiplier
Higher Timeframe
Higher Timeframe Confirmation (on/off)
SMC Elements Visibility (on/off)
Order block lookback length.
Swing lookback length.
Bollinger band fill opacity.
This detailed description should provide a comprehensive understanding of the strategy's logic and components.
***DISCLAIMER: This strategy is for educational purposes only. It is not financial advice. Past performance is not indicative of future results. Use at your own risk. Always perform thorough backtesting and forward testing before using any strategy in live trading.***
VWAP + RSI Divergence Intraday
VWAP for trend confirmation
RSI divergence detection
Entry signals when price breaks above VWAP with increasing volume
Stop-loss & take-profit levels
Fibonacci BB Strategy with RSI + 2% Exit📈 Fibonacci BB Strategy with RSI + 2% Exit
This TradingView strategy combines Fibonacci Bollinger Bands (FBB) with Relative Strength Index (RSI) and a fixed 2% profit-taking mechanism to generate long and short trading signals. It’s designed for traders who want to capitalize on strong price movements with clear trend signals and smart exit logic.
🔍 What This Strategy Does
This script enters trades based on breakouts from a custom Bollinger Band derived from the VWMA (Volume Weighted Moving Average) and standard deviation, using the full 1.0 Fibonacci level. It then exits positions based on either:
A fixed 2% profit target, or
RSI-based reversal signals to lock in profits or limit downside.
📐 Indicator Components
VWMA Basis Line (Fuchsia)
A 200-period Volume Weighted Moving Average (VWMA), which forms the central basis of the Fibonacci Bollinger Bands. This line adjusts dynamically with volume, giving a better representation of trend direction in actively traded markets.
Upper Band (Red)
Calculated as: VWMA + (1 × standard deviation)
Represents a potential resistance or breakout trigger.
Lower Band (Green)
Calculated as: VWMA - (1 × standard deviation)
Represents a potential support or breakdown trigger.
RSI (Relative Strength Index)
A 14-period RSI is used to filter exits when momentum weakens:
RSI < 30 signals oversold (potential long exit).
RSI > 70 signals overbought (potential short exit).
🎯 Trade Entry Logic
Long Entry:
Triggered when the closing price crosses above the Upper Band (red).
Interpreted as bullish momentum strong enough to break resistance.
Short Entry:
Triggered when the closing price crosses below the Lower Band (green).
Interpreted as bearish momentum breaking through support.
🚪 Trade Exit Logic
Profit Target (2%):
For long positions: closes trade when price increases 2% above entry.
For short positions: closes trade when price drops 2% below entry.
RSI-Based Exit:
Long position: Exit if RSI < 30 (momentum weakening).
Short position: Exit if RSI > 70 (momentum fading).
This two-pronged exit strategy ensures that trades are closed either when the target is hit or when momentum reverses, offering flexibility and risk control.
⚙️ Customizable Inputs
VWMA Length – Number of periods for VWMA (default: 200)
Source – Price source for VWMA and bands (default: HLC3)
Deviation Multiplier – Standard deviation multiplier (default: 3.0)
RSI Length – RSI period (default: 14)
Profit Target (%) – Fixed percentage profit target (default: 2.0%)
📌 Best Use Cases
Trend Breakout Strategy: Captures momentum moves as price breaks out of key VWMA-based levels.
Scalping and Swing Trades: Can work on intraday or higher timeframes.
Risk-Controlled Trading: Combines price action with momentum and fixed-profit rules.
✅ Visual Aids
Fuchsia Line: VWMA basis
Red Line: Upper Band (buy trigger)
Green Line: Lower Band (sell trigger)
These help you see when the strategy will enter or exit trades based on key technical levels.
EMA + RSI + MACD + Support & Resistance Combined StrategyStrategy: Enhanced EMA + RSI + MACD + Support & Resistance
This strategy combines multiple technical indicators to create a robust system for identifying market opportunities. By leveraging Exponential Moving Averages (EMA), Relative Strength Index (RSI), and Moving Average Convergence Divergence (MACD) for trend confirmation, along with Support and Resistance levels to trigger breakout trades, this strategy aims to capture both trending and breakout movements.
Indicators Used:
EMA (5, 20, 50, 200): Helps identify the prevailing market trend, with short-term EMAs crossing longer-term ones as signals of trend shifts.
RSI (14): Confirms whether the market is in a bullish (RSI > 50) or bearish (RSI < 50) zone, adding additional filter to entries.
MACD (12, 26, 9): Used to confirm the momentum, where a MACD line crossing above the signal line indicates a bullish signal and vice versa for bearish.
Breakout Strategy (Support & Resistance):
Support & Resistance levels are dynamically calculated based on a user-defined period.
Buy Condition: Triggered when price breaks above resistance and confirms bullish indicators (EMA, RSI, MACD).
Sell Condition: Triggered when price breaks below support and confirms bearish indicators (EMA, RSI, MACD).
Exits & Risk Management:
Trailing Stop: A trailing stop is applied to lock in profits as the price moves in favor of the trade. The stop is dynamically adjusted with the market price, providing better protection during strong trends.
Stop Loss: The stop loss is set at key support and resistance levels to ensure a safe exit if the market moves against the trade.
This strategy aims to provide more frequent entries, take advantage of breakouts, and effectively manage risk with trailing stops. It is suitable for traders looking to capture both trends and breakouts across various timeframes.
Support and Resistance Entry/ExitThis Pine Script strategy uses Support and Resistance levels for entry and exit:
Buy Signal: Enter a long position when the price breaks above the Resistance (pivotHigh).
Sell Signal: Enter a short position when the price breaks below the Support (pivotLow).
Exit Conditions:
Exit the long position when the price hits the Support.
Exit the short position when the price hits the Resistance.
Estrategia EMA + RSIElser Senior Strategy: A Precise Approach to Profitable Trading
The Elser Senior strategy is designed for traders looking to take advantage of the best market opportunities with a robust technical approach. Using a combination of Exponential Moving Averages (EMA) and the Relative Strength Index (RSI), this strategy identifies key entry and exit points, allowing you to maximize profits and minimize risks.
Short and Long EMAs: Accurately detect the market trend, providing clear buy and sell signals.
RSI: Filters out false breakouts, focusing on overbought and oversold levels for more informed decision-making.
Customizable Stop Loss and Take Profit: Protects your capital with risk management settings tailored to your needs. Set a personalized Stop Loss and TP/SL ratio, optimizing your chances of success.
This strategy works across the most popular timeframes: 15 minutes, 1 hour, 4 hours, and 1 day, allowing you to adapt to different trading styles, from intraday to long-term positions.
Ideal for Forex, Indices, Commodities, and Cryptocurrencies, the Elser Senior Strategy has been crafted for serious traders seeking consistency and reliability in their operations. With a clear and easy-to-follow structure, it is perfect for both novice and experienced traders.
Follow the signals, optimize your risk management, and achieve successful trading with Elser Senior!
Malama's ScalpingMalama's Scalping Strategy Description
Purpose
"Malama's Scalping" is a strategy designed for traders who want to capitalize on short-term price movements in fast-moving markets. It identifies precise buy and sell opportunities by combining trend analysis, momentum, volume, volatility, and candlestick patterns. This script solves the problem of finding reliable entry and exit points in choppy or unpredictable markets, making it ideal for scalpers—traders who aim to profit from small, quick price changes—while offering built-in risk management through stop-loss and take-profit settings.
How It Works
The strategy uses a blend of popular technical indicators and custom logic to confirm trading signals:
Trend Direction: A 50-period Simple Moving Average (SMA) acts as a trend filter. If the price is above this line, it’s a bullish (buy-friendly) market; if below, it’s bearish (sell-friendly).
Momentum: The Relative Strength Index (RSI) measures price speed over 14 periods. It ensures the market isn’t overbought (RSI < 70) for buys or oversold (RSI > 30) for sells.
Volume: It compares current trading volume to a 20-period average to confirm strong market participation—only high-volume moves trigger signals.
Volatility: The Average True Range (ATR) over 14 periods checks if price swings are big enough (above a user-set minimum, default 2.0) to justify a trade.
Candlestick Patterns: Simple yet effective patterns (e.g., a bullish candle closing higher than the previous day’s close after opening lower) add confirmation to signals.
A buy or sell signal only triggers when all these conditions align, ensuring high-probability trades. Once a signal fires, the strategy automatically places trades with customizable stop-loss (e.g., 1% below entry) and take-profit (e.g., 2% above entry) levels.
How to Use It
Adding to TradingView: Open TradingView, go to the "Pine Editor" at the bottom, paste the script, and click "Add to Chart." You’ll see a blue trend line and buy/sell labels appear.
Configuring Settings: Adjust inputs in the "Settings" menu:
Trend Length (50): Increase for smoother trends, decrease for faster signals.
RSI Length (14): Tweak for sensitivity to momentum.
Stop Loss (1%) and Take Profit (2%): Set based on your risk tolerance.
Volume Length (20): Adjust to filter volume strength.
Volatility Length (14) and Minimum Volatility (2.0): Fine-tune for your asset (e.g., higher for volatile stocks like TSLA).
Interpreting Signals:
A green "Buy" label below a bar means enter a long position.
A red "Sell" label above a bar means enter a short position.
Watch the blue trend line to gauge the bigger picture.
Tips for Beginners: Start with the default settings on a 1- or 5-minute chart for scalping. Test it on a demo account first to get comfortable with the signals.
For Pros: Pair it with your favorite indicators (e.g., Bollinger Bands) or adjust the ATR minimum for specific markets. Use backtesting in TradingView’s "Strategy Tester" to optimize settings.
Originality
What makes "Malama's Scalping" stand out is its multi-filter approach. Unlike basic strategies relying on one or two indicators, it demands agreement across trend, momentum, volume, volatility, and candlestick patterns—reducing false signals and boosting confidence. The built-in automation with customizable risk management also sets it apart, offering a hands-off option for scalpers who want precision without constant monitoring. Plus, its flexibility (e.g., adjustable volatility for stocks like TSLA) makes it adaptable to various assets and timeframes, a rarity in scalping tools.
This strategy bridges the gap between simplicity for beginners and robustness for pros, delivering a unique, all-in-one scalping solution.
Crypto MA Cross StrategyBuy with MA crossover. Take profit when price reaches your percentage target. Stops at defined percentage below the buy price