Gold/Silver 30m Only Strategy Buy/Sell SignalsIn my free time I felt like coding this strategy, and after backtesting it, it appears that the 30m time frame is the most profitable.
I only have been working on it for gold, but it should work similarly for silver as well.
This includes no pyramiding, and with pyramiding orders of 5, this strategy is upwards of 100% profitable.
Buy order - when price is above the 162 day EMA and RSI is less than 35
Sell order - when price is below the 162 day EMA and RSI is greater than 65
I will probably be adjusting it to increase the profitability and %success rate.
Pesquisar nos scripts por "rsi"
Long/Short/Exit/Risk management Strategy # LongShortExit Strategy Documentation
## Overview
The LongShortExit strategy is a versatile trading system for TradingView that provides complete control over entry, exit, and risk management parameters. It features a sophisticated framework for managing long and short positions with customizable profit targets, stop-loss mechanisms, partial profit-taking, and trailing stops. The strategy can be enhanced with continuous position signals for visual feedback on the current trading state.
## Key Features
### General Settings
- **Trading Direction**: Choose to trade long positions only, short positions only, or both.
- **Max Trades Per Day**: Limit the number of trades per day to prevent overtrading.
- **Bars Between Trades**: Enforce a minimum number of bars between consecutive trades.
### Session Management
- **Session Control**: Restrict trading to specific times of the day.
- **Time Zone**: Specify the time zone for session calculations.
- **Expiration**: Optionally set a date when the strategy should stop executing.
### Contract Settings
- **Contract Type**: Select from common futures contracts (MNQ, MES, NQ, ES) or custom values.
- **Point Value**: Define the dollar value per point movement.
- **Tick Size**: Set the minimum price movement for accurate calculations.
### Visual Signals
- **Continuous Position Signals**: Implement 0 to 1 visual signals to track position states.
- **Signal Plotting**: Customize color and appearance of position signals.
- **Clear Visual Feedback**: Instantly see when entry conditions are triggered.
### Risk Management
#### Stop Loss and Take Profit
- **Risk Type**: Choose between percentage-based, ATR-based, or points-based risk management.
- **Percentage Mode**: Set SL/TP as a percentage of entry price.
- **ATR Mode**: Set SL/TP as a multiple of the Average True Range.
- **Points Mode**: Set SL/TP as a fixed number of points from entry.
#### Advanced Exit Features
- **Break-Even**: Automatically move stop-loss to break-even after reaching specified profit threshold.
- **Trailing Stop**: Implement a trailing stop-loss that follows price movement at a defined distance.
- **Partial Profit Taking**: Take partial profits at predetermined price levels:
- Set first partial exit point and percentage of position to close
- Set second partial exit point and percentage of position to close
- **Time-Based Exit**: Automatically exit a position after a specified number of bars.
#### Win/Loss Streak Management
- **Streak Cutoff**: Automatically pause trading after a series of consecutive wins or losses.
- **Daily Reset**: Option to reset streak counters at the start of each day.
### Entry Conditions
- **Source and Value**: Define the exact price source and value that triggers entries.
- **Equals Condition**: Entry signals occur when the source exactly matches the specified value.
### Performance Analytics
- **Real-Time Stats**: Track important performance metrics like win rate, P&L, and largest wins/losses.
- **Visual Feedback**: On-chart markers for entries, exits, and important events.
### External Integration
- **Webhook Support**: Compatible with TradingView's webhook alerts for automated trading.
- **Cross-Platform**: Connect to external trading systems and notification platforms.
- **Custom Order Execution**: Implement advanced order flows through external services.
## How to Use
### Setup Instructions
1. Add the script to your TradingView chart.
2. Configure the general settings based on your trading preferences.
3. Set session trading hours if you only want to trade specific times.
4. Select your contract specifications or customize for your instrument.
5. Configure risk parameters:
- Choose your preferred risk management approach
- Set appropriate stop-loss and take-profit levels
- Enable advanced features like break-even, trailing stops, or partial profit taking as needed
6. Define entry conditions:
- Select the price source (such as close, open, high, or an indicator)
- Set the specific value that should trigger entries
### Entry Condition Examples
- **Example 1**: To enter when price closes exactly at a whole number:
- Long Source: close
- Long Value: 4200 (for instance, to enter when price closes exactly at 4200)
- **Example 2**: To enter when an indicator reaches a specific value:
- Long Source: ta.rsi(close, 14)
- Long Value: 30 (triggers when RSI equals exactly 30)
### Best Practices
1. **Always backtest thoroughly** before using in live trading.
2. **Start with conservative risk settings**:
- Small position sizes
- Reasonable stop-loss distances
- Limited trades per day
3. **Monitor and adjust**:
- Use the performance table to track results
- Adjust parameters based on how the strategy performs
4. **Consider market volatility**:
- Use ATR-based stops during volatile periods
- Use fixed points during stable markets
## Continuous Position Signals Implementation
The LongShortExit strategy can be enhanced with continuous position signals to provide visual feedback about the current position state. These signals can help you track when the strategy is in a long or short position.
### Adding Continuous Position Signals
Add the following code to implement continuous position signals (0 to 1):
```pine
// Continuous position signals (0 to 1)
var float longSignal = 0.0
var float shortSignal = 0.0
// Update position signals based on your indicator's conditions
longSignal := longCondition ? 1.0 : 0.0
shortSignal := shortCondition ? 1.0 : 0.0
// Plot continuous signals
plot(longSignal, title="Long Signal", color=#00FF00, linewidth=2, transp=0, style=plot.style_line)
plot(shortSignal, title="Short Signal", color=#FF0000, linewidth=2, transp=0, style=plot.style_line)
```
### Benefits of Continuous Position Signals
- Provides clear visual feedback of current position state (long/short)
- Signal values stay consistent (0 or 1) until condition changes
- Can be used for additional calculations or alert conditions
- Makes it easier to track when entry conditions are triggered
### Using with Custom Indicators
You can adapt the continuous position signals to work with any custom indicator by replacing the condition with your indicator's logic:
```pine
// Example with moving average crossover
longSignal := fastMA > slowMA ? 1.0 : 0.0
shortSignal := fastMA < slowMA ? 1.0 : 0.0
```
## Webhook Integration
The LongShortExit strategy is fully compatible with TradingView's webhook alerts, allowing you to connect your strategy to external trading platforms, brokers, or custom applications for automated trading execution.
### Setting Up Webhooks
1. Create an alert on your chart with the LongShortExit strategy
2. Enable the "Webhook URL" option in the alert dialog
3. Enter your webhook endpoint URL (from your broker or custom trading system)
4. Customize the alert message with relevant information using TradingView variables
### Webhook Message Format Example
```json
{
"strategy": "LongShortExit",
"action": "{{strategy.order.action}}",
"price": "{{strategy.order.price}}",
"quantity": "{{strategy.position_size}}",
"time": "{{time}}",
"ticker": "{{ticker}}",
"position_size": "{{strategy.position_size}}",
"position_value": "{{strategy.position_value}}",
"order_id": "{{strategy.order.id}}",
"order_comment": "{{strategy.order.comment}}"
}
```
### TradingView Alert Condition Examples
For effective webhook automation, set up these alert conditions:
#### Entry Alert
```
{{strategy.position_size}} != {{strategy.position_size}}
```
#### Exit Alert
```
{{strategy.position_size}} < {{strategy.position_size}} or {{strategy.position_size}} > {{strategy.position_size}}
```
#### Partial Take Profit Alert
```
strategy.order.comment contains "Partial TP"
```
### Benefits of Webhook Integration
- **Automated Trading**: Execute trades automatically through supported brokers
- **Cross-Platform**: Connect to custom trading bots and applications
- **Real-Time Notifications**: Receive trade signals on external platforms
- **Data Collection**: Log trade data for further analysis
- **Custom Order Management**: Implement advanced order types not available in TradingView
### Compatible External Applications
- Trading bots and algorithmic trading software
- Custom order execution systems
- Discord, Telegram, or Slack notification systems
- Trade journaling applications
- Risk management platforms
### Implementation Recommendations
- Test webhook delivery using a free service like webhook.site before connecting to your actual trading system
- Include authentication tokens or API keys in your webhook URL or payload when required by your external service
- Consider implementing confirmation mechanisms to verify trade execution
- Log all webhook activities for troubleshooting and performance tracking
## Strategy Customization Tips
### For Scalping
- Set smaller profit targets (1-3 points)
- Use tighter stop-losses
- Enable break-even feature after small profit
- Set higher max trades per day
### For Day Trading
- Use moderate profit targets
- Implement partial profit taking
- Enable trailing stops
- Set reasonable session trading hours
### For Swing Trading
- Use longer-term charts
- Set wider stops (ATR-based often works well)
- Use higher profit targets
- Disable daily streak reset
## Common Troubleshooting
### Low Win Rate
- Consider widening stop-losses
- Verify that entry conditions aren't triggering too frequently
- Check if the equals condition is too restrictive; consider small tolerances
### Missing Obvious Trades
- The equals condition is extremely precise. Price must exactly match the specified value.
- Consider using floating-point precision for more reliable triggers
### Frequent Stop-Outs
- Try ATR-based stops instead of fixed points
- Increase the stop-loss distance
- Enable break-even feature to protect profits
## Important Notes
- The exact equals condition is strict and may result in fewer trade signals compared to other conditions.
- For instruments with decimal prices, exact equality might be rare. Consider the precision of your value.
- Break-even and trailing stop calculations are based on points, not percentage.
- Partial take-profit levels are defined in points distance from entry.
- The continuous position signals (0 to 1) provide valuable visual feedback but don't affect the strategy's trading logic directly.
- When implementing continuous signals, ensure they're aligned with the actual entry conditions used by the strategy.
---
*This strategy is for educational and informational purposes only. Always test thoroughly before using with real funds.*
Advanced Crypto Trend Line Strategysimple trend line strategy with rsi, macd, demand and supply and volume confluence.
Timeshifter Triple Timeframe Strategy w/ SessionsOverview
The "Enhanced Timeshifter Triple Timeframe Strategy with Session Filtering" is a sophisticated trading strategy designed for the TradingView platform. It integrates multiple technical indicators across three different timeframes and allows traders to customize their trading Sessions. This strategy is ideal for traders who wish to leverage multi-timeframe analysis and session-based trading to enhance their trading decisions.
Features
Multi-Timeframe Analysis and direction:
Higher Timeframe: Set to a daily timeframe by default, providing a broader view of market trends.
Trading Timeframe: Automatically set to the current chart timeframe, ensuring alignment with the trader's primary analysis period.
Lower Timeframe: Set to a 15-minute timeframe by default, offering a granular view for precise entry and exit points.
Indicator Selection:
RMI (Relative Momentum Index): Combines RSI and MFI to gauge market momentum.
TWAP (Time Weighted Average Price): Provides an average price over a specified period, useful for identifying trends.
TEMA (Triple Exponential Moving Average): Reduces lag and smooths price data for trend identification.
DEMA (Double Exponential Moving Average): Similar to TEMA, it reduces lag and provides a smoother trend line.
MA (Moving Average): A simple moving average for basic trend analysis.
MFI (Money Flow Index): Measures the flow of money into and out of a security, useful for identifying overbought or oversold conditions.
VWMA (Volume Weighted Moving Average): Incorporates volume data into the moving average calculation.
PSAR (Parabolic SAR): Identifies potential reversals in price movement.
Session Filtering:
London Session: Trade during the London market hours (0800-1700 GMT+1).
New York Session: Trade during the New York market hours (0800-1700 GMT-5).
Tokyo Session: Trade during the Tokyo market hours (0900-1800 GMT+9).
Users can select one or multiple sessions to align trading with specific market hours.
Trade Direction:
Long: Only long trades are permitted.
Short: Only short trades are permitted.
Both: Both long and short trades are permitted, providing flexibility based on market conditions.
ADX Confirmation:
ADX (Average Directional Index): An optional filter to confirm the strength of a trend before entering a trade.
How to Use the Script
Setup:
Add the script to your TradingView chart.
Customize the input parameters according to your trading preferences and strategy requirements.
Indicator Selection:
Choose the primary indicator you wish to use for generating trading signals from the dropdown menu.
Enable or disable the ADX confirmation based on your preference for trend strength analysis.
Session Filtering:
Select the trading sessions you wish to trade in. You can choose one or multiple Sessions based on your trading strategy and market focus.
Trade Direction:
Set your preferred trade direction (Long, Short, or Both) to align with your market outlook and risk tolerance. You can use this feature to gauge the market and understand the possible directions.
Tips for Profitable and Safe Trading:
Recommended Timeframes Combination:
LT: 1m , CT: 5m, HT: 1H
LT: 1-5m , CT: 15m, HT: 4H
LT: 5-15m , CT: 4H, HT: 1W
Backtesting:
Always backtest the strategy on historical data to understand its performance under various market conditions.
Adjust the parameters based on backtesting results to optimize the strategy for your specific trading style.
Risk Management:
Use appropriate risk management techniques, such as setting stop-loss and take-profit levels, to protect your capital.
Avoid over-leveraging and ensure that you are trading within your risk tolerance.
Market Analysis:
Combine the script with other forms of market analysis, such as fundamental analysis or market sentiment, to make well-rounded trading decisions.
Stay informed about major economic events and news that could impact market volatility and trading sessions.
Continuous Monitoring:
Regularly monitor the strategy's performance and make adjustments as necessary.
Keep an eye on the results and settings for real-time statistics and ensure that the strategy aligns with current market conditions.
Education and Practice:
Continuously educate yourself on trading strategies and market dynamics.
Practice using the strategy in a demo account before applying it to live trading to gain confidence and understanding.
Bitcoin Momentum Strategy RSI(5) > 70This One Indicator Outperforms Buy & Hold on Bitcoin (Full Backtest / 2015 - Now)
Can a single indicator really outperform the classic buy & hold strategy for Bitcoin (BTC)? In this video, we backtest a simple Bitcoin trading strategy powered by just one technical indicator, and compare its performance to long-term holding.
📊 With clear results on profit factor, drawdown, and total returns, this strategy proves that sometimes less is more — and that buy & hold isn't always the best option.
✅ In this video:
www.youtube.com
Full backtest of a 1-indicator Bitcoin strategy
Strategy vs. buy & hold performance
Drawdown, profit factor, and trade results
Works on the daily (1D) timeframe
Easy to use for beginners
Strategy:
metaduro.com
COINBASE:BTCUSD
Nikko William StrategyWelcome to Williams %R Strategy for Pine Script v6
Results may vary depending on the timeframe, asset, and configuration.
📘 Strategy Overview
This strategy is powered the Williams %R (pronounced "Williams Percent R") is a momentum oscillator developed by Larry Williams. It helps traders identify overbought and oversold conditions in the market — similar to the RSI, but inverted.
⚙️ Strategy Characteristics
This system is an experimental strategy and should be used with caution.
🛠️ Key Parameters
Bar Multiple:
Controls how frequently new positions are opened/closed in an uptrend/downtrend.
For example, setting this to 3 means the strategy will enter once every 3 bars during an uptrend, reducing overexposure and allowing better pyramid spacing.
Close All When Bearish:
When enabled, this forces the strategy to close all open positions as soon as the trend turns bearish. When disabled, it allows for pyramiding in both directions, depending on your risk tolerance.
Disclaimer:
This strategy is provided for educational and informational purposes only. Trading involves risk, and results may vary depending on configuration and market conditions. Always backtest thoroughly over a significant number of trades and monitor live performance carefully before considering any real trading. I am not offering financial advice.
VWAP + EMA20 + EMA200 + RSI + SR + Panel vwap ema 20 + ema 200 con senales de entrada y soportes dinamicos ideal 1 hora
Peak Trade
The Peak Trade strategy is currently designed for BTC 15-minute charts and will appeal to even larger clusters with future developments. Our strategy is created by combining multiple indicators and aims to provide its users with more secure transactions by tracking the USDT.D dominance in real time, which provides its originality.
Among the indicators or functions we use, there is primarily Tradingview's own function, Hull Moving Average (HMA) ZeroLagHMA . The intersections of the long or short lines we create with HMA are one of the functions that help us enter or exit the trade.
Another one is the Alpha Trend indicator, which is an indicator that processes sma, rsi and mfi data.
Likewise, USDT.D (usdt dominance in the market), which we follow in real time, listens to these functions and indicators and sends us reversible signals, ensuring the success rate and reliability of our transactions.
As we explained, our strategy aims to produce more efficient transactions for its users by using this data and is still being developed to produce more optimal signals for its users. And as we mentioned at the beginning, the currently recommended use is the BTC 15-minute chart.
[Mustang Algo] Channel Strategy# Mustang Algo Channel Strategy - Universal Market Sentiment Oscillator
## 🎯 ORIGINAL CONCEPT
This strategy employs a unique market sentiment oscillator that works on ALL financial assets. It uses Bitcoin supply dynamics combined with stablecoin market capitalization as a macro sentiment indicator to generate universal timing signals across stocks, forex, commodities, indices, and cryptocurrencies.
## 🌐 UNIVERSAL APPLICATION
- **Any Asset Class:** Stocks, Forex, Commodities, Indices, Crypto, Bonds
- **Market-Wide Timing:** BTC/Stablecoin ratio serves as a global risk sentiment gauge
- **Cross-Market Signals:** Trade any instrument using macro liquidity conditions
- **Ecosystem Approach:** One oscillator for all financial markets
## 🧮 METHODOLOGY
**Core Calculation:** BTC Supply / (Combined Stablecoin Market Cap / BTC Price)
- **Data Sources:** DAI + USDT + USDC market capitalizations
- **Signal Generation:** RSI(14) applied to the ratio, double-smoothed with WMA
- **Timing Logic:** Crossover signals filtered by overbought/oversold zones
- **Multi-Timeframe:** Configurable timeframe analysis (default: Daily)
## 📈 TRADING STRATEGY
**LONG Entries:** Bullish crossover when market sentiment is oversold (<48)
**SHORT Entries:** Bearish crossover when market sentiment is overbought (>55)
**Universal Timing:** These macro signals apply to trading any financial instrument
## ⚙️ FLEXIBLE RISK MANAGEMENT
**Three SL/TP Calculation Modes:**
- **Percentage Mode:** Traditional % based (4% SL, 12% TP default)
- **Ticks Mode:** Precise tick-based calculation (50/150 ticks default)
- **Pips Mode:** Forex-style pip calculation (50/150 pips default)
**Realistic Parameters:**
- Commission: 0.1% (adjustable for different asset classes)
- Slippage: 2 ticks
- Position sizing: 10% of equity (conservative)
- No pyramiding (single position management)
## 📊 KEY ADVANTAGES
✅ **Universal Application:** One strategy for all asset classes
✅ **Macro Foundation:** Based on global liquidity and risk sentiment
✅ **False Signal Filtering:** Overbought/oversold zones reduce noise
✅ **Flexible Risk Management:** Multiple SL/TP calculation methods
✅ **No Lookahead Bias:** Clean backtesting with realistic results
✅ **Cross-Market Correlation:** Captures broad market risk cycles
## 🎛️ CONFIGURATION GUIDE
1. **Asset Selection:** Apply to stocks, forex, commodities, indices, crypto
2. **Timeframe Setup:** Daily recommended for swing trading
3. **Sentiment Bounds:** Adjust 48/55 levels based on market volatility
4. **Risk Management:** Choose appropriate SL/TP mode for your asset class
5. **Direction Filter:** Select Long Only, Short Only, or Both
## 📋 BACKTESTING STANDARDS
**Compliant with TradingView Guidelines:**
- ✅ Realistic commission structure (0.1% default)
- ✅ Appropriate slippage modeling (2 ticks)
- ✅ Conservative position sizing (10% equity)
- ✅ Sustainable risk ratios (1:3 SL/TP)
- ✅ No lookahead bias (proper historical simulation)
- ✅ Sufficient sample size potential (100+ trades possible)
## 🔬 ORIGINAL RESEARCH
This strategy introduces a revolutionary approach to financial markets by treating the BTC/Stablecoin ratio as a global risk sentiment gauge. Unlike traditional indicators that analyze individual asset price action, this oscillator captures macro liquidity flows that affect ALL financial markets - from stocks to forex to commodities.
## 🎯 MARKET APPLICATIONS
**Stocks & Indices:** Risk-on/risk-off sentiment timing
**Forex:** Global liquidity flow analysis for major pairs
**Commodities:** Risk appetite for inflation hedges
**Bonds:** Flight-to-safety vs. risk-seeking behavior
**Crypto:** Native application with direct correlation
## ⚠️ RISK DISCLOSURE
- Designed for intermediate to long-term trading across all timeframes
- Market sentiment can remain extreme longer than expected
- Always use appropriate position sizing for your specific asset class
- Adjust commission and slippage settings for different markets
- Past performance does not guarantee future results
## 🚀 INNOVATION SUMMARY
**What makes this strategy unique:**
- First to use BTC/Stablecoin ratio as universal market sentiment indicator
- Applies macro-economic principles to technical analysis across all assets
- Single oscillator provides timing signals for entire financial ecosystem
- Bridges traditional finance with digital asset insights
- Combines fundamental liquidity analysis with technical precision
Multi-Indicator Trend-Following Strategy v7This strategy is a trend-following system that combines multiple technical indicators into a single, optimized indicator to help identify high-probability Buy and Sell opportunities while maintaining a clean and uncluttered chart.
✅ How It Works:
This script utilizes a combination of Exponential Moving Averages (EMAs), Relative Strength Index (RSI), Volume, MACD, and Average True Range (ATR) to determine trade entries and exits.
🟢 Buy Conditions:
Trend Crossover Entry:
A Buy signal is generated when the Fast EMA crosses above the Slow EMA, indicating a potential bullish trend.
Oversold Reversal Entry:
Alternatively, a Buy is triggered when:
The Slow EMA is significantly below the Fast EMA (oversold market behavior),
The current price is well below the Fast EMA,
A volume spike occurs, suggesting a possible reversal.
🔴 Sell Conditions:
Trend Crossover Exit:
A Sell signal is generated when the Fast EMA crosses below the Slow EMA, indicating a bearish shift.
Overbought Reversal Exit:
A Sell is triggered when:
The Slow EMA is above the Fast EMA by a wide margin,
The price is well above the Fast EMA,
A volume spike suggests downward reversal pressure.
📏 Risk Management:
Uses ATR-based stop-loss and take-profit levels to dynamically manage risk per trade.
Includes adjustable input options for ATR multipliers, moving average lengths, volume filters, and more.
🧩 Why Use This Strategy?
Rather than juggling multiple indicators manually, this script combines and simplifies them into a single, convenient strategy. It’s ideal for traders who want:
Clean visual signals,
Robust entry/exit logic backed by volume and trend behavior,
A modular and customizable setup for testing and optimization.
⚠️ Disclaimer: This script is for educational and informational purposes only. It does not constitute financial advice. Always backtest strategies thoroughly and use proper risk management when trading live.
Dual TF Stochastic StrategyCore Strategy Components:
Uses two Stochastic oscillators (Primary and Reference)
Both use 15-second timeframe (15S)
Primary Stochastic settings:
K Length: 12
K Smoothing: 12
D Length: 12
Reference Stochastic settings:
K Length: 12
K Smoothing: 15
D Length: 30
Entry Logic:
Long Entries occur when:
Primary %K crosses over %D
AND either:
Reference %D is ≥ 50 or < 20
OR Primary %K is close to Reference %D (within 0.15)
AND price is above Moving Average (if MA filter enabled)
AND during regular market hours (9:30 AM - 4:00 PM ET)
Short Entries occur when:
Primary %K crosses under %D
AND either:
Within tolerance of Reference %D
OR specific crossunder conditions met
AND price is below Moving Average
AND during regular market hours
Exit Logic:
Time-based exits:
At 3:30 PM ET
End of regular market hours
Technical exits:
Long positions: When Primary %K crosses under Reference %D
Short positions: When Primary %K crosses over Reference %D and Reference %D > 20
Pattern Detection:
Higher Low Pattern:
Current crossover %K > Previous crossover %K
Bullish continuation pattern
Lower High Pattern:
Current crossunder %K < Previous crossunder %K
Bearish continuation pattern
Risk Management:
Price difference filters:
Maximum price difference: 0.1%
Minimum price difference for shorts: 0.1%
Reference %D tolerance: 0.1%
Close %K tolerance: 0.7%
Strengths:
Multiple confirmation layers (dual timeframes, MA filter)
Clear entry/exit rules
Pattern recognition for trend continuation
Time-based filters to avoid volatile periods
Comprehensive alert system
Potential Limitations:
Short timeframe (15S) may generate more false signals
Tight price difference filters might miss some opportunities
Relies heavily on Reference %D levels
No stop-loss implementation visible in the code
Suggested Improvements:
Add stop-loss mechanisms
Implement position sizing rules
Add volume confirmation
Consider adding RSI or other momentum filters
Add backtesting statistics tracking
Best Use Cases:
Day trading in liquid markets
Markets with clear trends
Time periods with normal volatility
When price action aligns with Stochastic signals
Risk Considerations:
High-frequency trading due to 15S timeframe
Multiple entries possible in short timeframes
No explicit risk management beyond entry/exit rules
Market hours limitation might miss opportunities
Dual TF Stochastic StrategyCore Strategy Components:
Uses two Stochastic oscillators (Primary and Reference)
Both use 15-second timeframe (15S)
Primary Stochastic settings:
K Length: 12
K Smoothing: 12
D Length: 12
Reference Stochastic settings:
K Length: 12
K Smoothing: 15
D Length: 30
Entry Logic:
Long Entries occur when:
Primary %K crosses over %D
AND either:
Reference %D is ≥ 50 or < 20
OR Primary %K is close to Reference %D (within 0.15)
AND price is above Moving Average (if MA filter enabled)
AND during regular market hours (9:30 AM - 4:00 PM ET)
Short Entries occur when:
Primary %K crosses under %D
AND either:
Within tolerance of Reference %D
OR specific crossunder conditions met
AND price is below Moving Average
AND during regular market hours
Exit Logic:
Time-based exits:
At 3:30 PM ET
End of regular market hours
Technical exits:
Long positions: When Primary %K crosses under Reference %D
Short positions: When Primary %K crosses over Reference %D and Reference %D > 20
Pattern Detection:
Higher Low Pattern:
Current crossover %K > Previous crossover %K
Bullish continuation pattern
Lower High Pattern:
Current crossunder %K < Previous crossunder %K
Bearish continuation pattern
Risk Management:
Price difference filters:
Maximum price difference: 0.1%
Minimum price difference for shorts: 0.1%
Reference %D tolerance: 0.1%
Close %K tolerance: 0.7%
Strengths:
Multiple confirmation layers (dual timeframes, MA filter)
Clear entry/exit rules
Pattern recognition for trend continuation
Time-based filters to avoid volatile periods
Comprehensive alert system
Potential Limitations:
Short timeframe (15S) may generate more false signals
Tight price difference filters might miss some opportunities
Relies heavily on Reference %D levels
No stop-loss implementation visible in the code
Suggested Improvements:
Add stop-loss mechanisms
Implement position sizing rules
Add volume confirmation
Consider adding RSI or other momentum filters
Add backtesting statistics tracking
Best Use Cases:
Day trading in liquid markets
Markets with clear trends
Time periods with normal volatility
When price action aligns with Stochastic signals
Risk Considerations:
High-frequency trading due to 15S timeframe
Multiple entries possible in short timeframes
No explicit risk management beyond entry/exit rules
Market hours limitation might miss opportunities
OCC Strategy R5.2 w/BOS+CHOCH (Non-Repainting)This trading strategy is like a smart assistant that helps decide when to buy or sell based on trends, momentum, and market structure. Here’s how it works in simple terms:
Trend Detection – Uses moving averages (like EMA or SMA) to spot if the market is going up or down.
Confirmation Filters – Checks extra indicators (RSI, RVI, volatility) to avoid bad trades in choppy or weak markets.
Break of Structure (BOS) – Looks for strong moves breaking past highs/lows to confirm a trend.
Change of Character (CHOCH) – Detects when the trend might be reversing to exit trades early.
Time-Based Rules – Only trades during active market hours (like London/NY sessions) if enabled.
Non-Repainting – All signals are based on past confirmed data, so they don’t change after the fact.
In short: It follows trends but double-checks with multiple tools to avoid fakeouts, and exits when the market behavior changes. Great for traders who want a rules-based system without guesswork!
iGTR_DailyThis script generates buy and sell signals based on the crossover of multiple moving averages on the daily timeframe. A buy signal is triggered when shorter-term MAs cross above longer-term MAs, suggesting potential bullish momentum, while a sell signal occurs when shorter-term MAs cross below longer-term MAs, indicating possible bearish momentum.
For improved reliability, users are encouraged to confirm signals using additional indicators such as RSI, MACD, or CCI, based on personal preference and strategy.
Quantum Scalper Pro – Adaptive EMA/VWAP Hybrid Engine
🧠 Quantum Scalper Pro v2.1 – Smart Trend Strategy + Re-Entry System
📌 Unlock precision trading with an advanced hybrid engine built for real-time decision-making.
Quantum Scalper Pro is a high-performance trading strategy designed for scalpers, intraday traders, and short-term swing traders who demand accuracy, speed, and adaptability in fast-moving markets.
🚀 What makes it powerful?
✅ Triple EMA + VWAP/MVWAP Engine
Stay aligned with real price structure using a dynamic system of 7/25/50 EMAs combined with smoothed VWAP and MVWAP confirmations.
✅ HTF Trend Sync
Only trade when price is aligned with the higher-timeframe (1H by default) trend for maximum momentum.
✅ Smart Re-Entry Logic
Automatically looks for ideal re-entry points after exits, allowing you to capture extended trends without chasing.
✅ Built-in High-Probability Patterns
Bullish & Bearish Engulfing
RSI Divergences (regular & hidden)
Volatility breakouts filtered by ATR
✅ Advanced Risk Management
Position sizing is calculated based on actual stop-loss range (ATR), ensuring proper risk exposure on each trade.
✅ Noise Filters
Eliminates signals during:
Price consolidation
Anomalous candle spikes
Zones near key support/resistance
🧪 Perfect for:
5m / 15m / 1H traders
Scalpers who want smarter exits
Swing traders looking for trend-aligned entries
Anyone who loves logic-backed automation
🔔 Custom Alerts Included
✔ Buy / Sell signals
✔ Exit signals
✔ Clean visual cues on chart
📥 Want access?
This is a private invite-only script.
🔒 Message me directly to get a trial access or lifetime access.
“Precision isn't optional. It's built into every line of this strategy.”
🧩 Developed by: Quantum Stardust Group
💬 DM for access, support, or to join the Quantum Traders group.
