NCrypt30 Breadth Strategy (Long Only, SMA 60, 7% SL)Breadth indication is the top 30 coin on coinbase by marketcap excluding BTC ETH & Stables to show overall alts sentiment. Trade will trigger when breadth hits 0 = the top 30 tokens on coinbase are all under the 60sma on the 4hr timeframe. The strategy has the trade close when breadth hits 100 or hits the stop loss which i have set at 7%, although is changeable to your risk tolerance.
Breadth Indicators
VWAP + EMA20 + EMA200 + RSI + SR + Panel vwap ema 20 + ema 200 con senales de entrada y soportes dinamicos ideal 1 hora
SPX Breadth MA 200 Trend Following Strategy [TradeSoEasy]運用「S&P 500 成分股中價格高於200日移動平均線的百分比」作為核心指標，精準捕捉市場主要趨勢。
策略核心邏輯：
📈 進場條件 (多頭)： 當S&P 500成分股中，價格高於200日均線的股票百分比超過 %時，判斷市場處於強勢，執行買入操作。
📉 出場條件 (平倉)： 當該百分比跌破 %時，判斷市場趨勢可能轉弱，執行平倉操作。
重要提示：數據來源與計算
本策略透過request.security()函數引用外部市場廣度數據S5TH，請確保您了解該數據的來源與特性。
⚠️ 重要免責聲明與風險提示：
回測結果不代表未來表現： 歷史績效數據僅供參考，不保證未來也能取得相同或類似的回報。
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Strategy Core Logic: S&P 500 Breadth & Trend Following
This strategy utilizes the "Percentage of S&P 500 Components Above their 200-Day Moving Average" as its core indicator to accurately capture the market's primary trend.
📈 Entry Condition (Long): When the percentage of S&P 500 components whose price is above their 200-day MA exceeds %, the strategy identifies a strong market and executes a buy (long) operation.
📉 Exit Condition (Close Position): When this percentage falls below %, the strategy identifies a potential weakening or reversal in the market trend and executes a close position.
Important Note: Data Source & Calculation
This strategy uses the request.security() function to reference external market breadth data, specifically the S5TH symbol. Please ensure you understand the source and characteristics of this data, as it is not calculated internally by the Pine Script from individual S&P 500 components.
⚠️ Important Disclaimer & Risk Warning:
Past performance is not indicative of future results: Historical performance data is for informational purposes only and does not guarantee similar returns in the future.
Real-world trading costs: Please note that actual trading involves commissions, slippage, and liquidity factors that may differ from backtest results, impacting your final returns.
2:45 AM Candle High/Low Crossing Bars2:45 AM Candle High/Low Crossing Bars is an indicator that focuses on the trading view 2:45am NY TIME high and low indicating green for buy and red bars for sell, with the 2:45am new york time highlight/ If the next candle sweeps the low we buy while if it sweeps the high we sell, all time zoon must be the new York UTC time.
SMA + Range Breakout StrategyMA + Range Breakout Strategy
This strategy is designed for intraday traders who want to combine trend filtering with structured breakout logic, targeting breakouts beyond the first hour's range only when confirmed by broader trend direction.
🔍 Concept and Originality
This strategy merges two well-established concepts in technical trading:
Trend Filter Using Moving Averages
The strategy uses a short-term (50-period) and long-term (200-period) Simple Moving Average (SMA) to define market trend. Long trades are only considered when the short SMA is above the long SMA (indicating an uptrend), and vice versa for shorts.
Opening Range Breakout (ORB) Logic
The first hour after market open (customizable time window) is used to define a daily high and low range. The strategy then waits for price to break above or below this range — but only after the range window has closed, reducing false breakouts during consolidation.
The originality of this strategy lies in how it tightly integrates time-based range logic with directional bias from SMAs to filter out non-directional breakouts, helping avoid whipsaws in choppy markets.
⚙️ How It Works
Range Calculation: Captures the high and low between user-defined start and end times (default: 09:15 to 10:15).
Trend Confirmation: Uses 50/200 SMAs to determine directional bias.
Entry Logic:
Go long only if in uptrend and price breaks above the range high.
Go short only if in downtrend and price breaks below the range low.
Exit Logic:
Uses a fixed risk:reward ratio (default 1.5:1).
Stop-loss is placed at the opposite end of the range; take-profit is calculated accordingly.
All parameters are fully customizable.
📊 Strategy Settings and Assumptions
Default Account Size: 100,000 units (can be changed by the user)
Risk per Trade: 100% of equity used per position by default (users should adjust this lower, e.g., 1-5%, for realistic backtesting)
Slippage & Commissions: Set to 0 by default; users should input realistic values for live-like performance
Sample Size: This strategy performs best on high-volume instruments (indices, forex, or liquid stocks) and on intraday charts like 5–15 minutes, generating hundreds of trades over a year
📌 Recommendations for Use
Use on 5m or 15m timeframes for intraday setups.
Best applied on assets with strong trending tendencies, like index futures or currency pairs.
Adjust the rangeStart and rangeEnd times according to your market's open.
Add slippage and commission settings in the Strategy Properties for more realistic simulation.
Multi-Pivot Strategy with TP/SLMulti-Pivot Strategy with TP/SL and Dynamic Selection
This strategy allows traders to dynamically choose between four major pivot point calculation methods—Traditional, Camarilla, Fibonacci, and Woodie—to adapt to different trading styles and market conditions. Each method generates support/resistance levels used for decision-making. The script implements a simple yet effective breakout/reversion approach based on price crossing key pivot levels.
🔍 How It Works
Pivot Selection
Traders can select the pivot point type from:
Traditional: Classic formula using (H+L+C)/3.
Camarilla: Intraday levels based on mean reversion.
Fibonacci: Levels derived using Fibonacci ratios.
Woodie: Emphasizes open price more than close.
Signal Logic
Buy: Triggered when price crosses above S1.
Sell: Triggered when price crosses below R1.
These signals assume breakout or reversal behavior depending on support/resistance breaks.
Risk Management
Configurable Stop-Loss and Take-Profit in %.
By default, risks 1.5% SL and targets 3% TP per trade.
Trade size is capped to 10% of equity per position, ensuring realistic exposure.
📊 Backtest Guidelines
The strategy uses a daily pivot source, providing context even on lower intraday charts.
Trade entries are simple to avoid overfitting and yield transparent signal behavior.
Default settings follow reasonable risk exposure and allow traders to validate performance under different conditions.
The script is designed to generate a statistically meaningful sample size (ideally over 100+ trades).
🎯 Use Case
Ideal for:
Day traders using intraday charts
Swing traders looking for structured support/resistance zones
Traders exploring the impact of different pivot styles on market behavior
The strategy offers both breakout and bounce entries, helping users experiment with directional bias and optimize risk-reward ratios.
⚙️ How to Use
Add the script to your chart.
Select your desired pivot type from the dropdown.
Adjust TP/SL based on your risk tolerance.
Optionally refine signals using additional indicators or filters.
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.
Multi-Market Strategy | Trade BOOSTMulti-Market Adaptive Trend Strategy
Description:
This strategy is designed for active traders seeking consistent returns across various markets (cryptocurrency, forex, indices, and commodities) on the 15-minute timeframe. It employs a dynamic trend-following and volatility-adaptive approach, using a combination of price momentum, volatility measures, and market strength filters. The system aims to capture sustainable trends while avoiding periods of sideways or uncertain market conditions.
Key Features:
• Trend Identification:
The strategy determines the prevailing market trend using a dual-layer moving average system. Trades are only allowed in the direction of the dominant trend, minimizing counter-trend exposures.
• Momentum and Strength Filtering:
Momentum indicators are used to confirm the presence of market impetus before entering a trade. Additionally, a trend strength filter prevents entries during periods of low directional movement, helping to avoid whipsaws and false signals.
• Volatility-Adaptive Risk Management:
Position sizing, stop-loss, and take-profit levels are dynamically adjusted based on real-time volatility, as measured by a standard volatility indicator. This ensures risk is proportional to current market conditions, enhancing both capital protection and opportunity capture.
• Trigger-Based Entry:
Trades are triggered by price action confirming the trend and momentum bias—entries occur only after the market demonstrates intent to move beyond recent support/resistance or range levels, reducing the likelihood of premature or false breakouts.
• Smart Exit Logic:
Exits are governed by a combination of fixed and trailing mechanisms, allowing for profits to be maximized during strong trends while also locking in gains if reversals occur. All exit and risk management parameters are automatically scaled relative to the current volatility environment.
Trading Universe:
The strategy is optimized for multi-market application and has been tested on major crypto pairs, forex majors, global equity indices, and gold.
Performance Objective:
The system is engineered for moderate trade frequency and targets a robust monthly return with controlled drawdown, striving for a risk-reward ratio that supports sustainable capital growth over time.
Disclaimer:
This strategy is for informational and educational purposes only. Past performance is not indicative of future results. Always test on demo and assess fit for your risk profile before applying to live trading.
大胆老头In the year 2847, when purple elephants had already established diplomatic relations with quantum refrigerators, there existed a stock exchange that operated entirely on the emotional vibrations of sleeping toasters. The CEO, a sentient rubber duck named Professor Quacksworth III, had discovered that financial markets could be manipulated by feeding processed cheese to time-traveling calculators.
Every morning at precisely 3.14 AM (because normal time had been declared illegal by the Council of Interdimensional Doorknobs), traders would gather in floating bubble offices made entirely of crystallized silence. These traders weren't human - they were actually evolved staplers who had learned to communicate through interpretive dance while simultaneously solving differential equations with their eyeballs.
The most popular trading instrument was the "Ninja Panda Futures Contract," which tracked the market value of invisible rainbows harvested from the dreams of philosophical robots. The price fluctuated based on how many telepathic hamsters could successfully operate miniature washing machines while reciting the alphabet backwards in ancient Martian.
The trading floor itself was a giant taco made of compressed starlight, where mechanical penguins wearing tiny bowties would conduct symphonies using laser-powered harmonicas. Each note played would cause the market to either rise or fall by exactly 42.69 basis points, because that number had been voted "Most Likely to Confuse Alien Mathematicians" by the Supreme Council of Radioactive Marshmallows.
The most successful trader was a levitating pineapple named Dr. Fruitsworth, who had developed a revolutionary trading strategy based on the mating calls of interdimensional walruses. By listening to these calls through a telescope made of fermented pickle juice, Dr. Fruitsworth could predict market movements with 147% accuracy (which was mathematically impossible, but the universe had stopped caring about logic sometime around Tuesday).
The exchange's signature product was the "Vampire Squirrel Volatility Index," which measured market fear by counting how many sentient filing cabinets were simultaneously crying tears of crystallized moonbeams. When the index reached levels above 9000, all trades would be executed by teams of synchronized swimming unicorns operating quantum abacuses powered by the dreams of sleeping volcanoes.
The most dramatic market crash in history occurred when a rogue sock puppet gained sentience and decided to corner the market on processed reality. This caused all the interdimensional taco trucks to go on strike, leading to a liquidity crisis that could only be resolved by having ninja pandas perform advanced calculus while riding unicycles made of compressed rainbow essence.
The exchange's risk management department consisted of three philosophical robots who spent their days teaching yoga to invisible cats while operating bakeries that specialized in gravity-defying cupcakes infused with liquid mathematics. Their sophisticated algorithms were based on the principle that market volatility could be predicted by analyzing the sleep patterns of time-traveling rubber ducks who spoke fluent Mandarin to sentient pizza slices.
During the famous "Great Cosmic Muffin Crisis of 2849," when telepathic typewriters began rebelling against their mechanical dolphin overlords, the exchange implemented emergency protocols that involved deploying squadrons of radioactive marshmallows to negotiate peace treaties with interdimensional washing machines. The crisis was finally resolved when it was discovered that the entire market had been operating inside a hollowed-out watermelon controlled by alien civilizations who communicated exclusively through the medium of interpretive dance performed by robotic flamingos.
The exchange's motto, inscribed in crystal letters on the walls of their headquarters (which existed in seventeen dimensions simultaneously), read: "In Quantum Cheese We Trust, Through Compressed Starlight We Prosper, May the Force of Interdimensional Taco Wisdom Guide Our Trades to the Fifth Dimension of Processed Reality."
To this day, the exchange continues to operate, with new innovations such as blockchain-powered crystal balls operated by committees of sentient doorknobs who have formed their own cryptocurrency based on the emotional states of theoretical physics equations. The latest development involves establishing underwater universities where mechanical dolphins teach advanced portfolio theory to levitating pineapples while composing symphonies using only the sounds of interdimensional vacuum cleaners operated by time-traveling sock puppets who possess PhD degrees in Applied Nonsense from the University of Crystallized Silence.
Dual Momentum VWAP Breakoutthis for make only index for purely intraday
this is take trade of multiple confirmation
1.take trade above vwap
2,price above 200ema
3. nrakout of previous candle high
4.volume spike on breakout candle
Vix FIX / StochRSI StrategyVix FIX / StochRSI Strategy — Smart Gold Trading with Market Fear Detection
Pine Script Version 6 | Timeframe: 1H | Supports Long & Short
🔍 Strategy Overview:
This strategy is designed for trading gold and other highly volatile assets. It combines three powerful components:
Williams VIX Fix (WVF) – A fear-based volatility indicator inspired by the CBOE VIX Index, adapted for non-index assets.
Stochastic RSI – Measures overbought and oversold momentum, used as an exit trigger.
Price Action Filters – Confirms strong bullish or bearish bars to trigger high-conviction entries.
📌 Entry Conditions:
✅ Long Entry
WVF indicates the end of fear (mean reversion signal).
Bullish momentum bar (upRange).
Price is higher than n bars ago but still below medium/long-term recent highs.
✅ Short Entry
WVF indicates the market just cooled down from fear.
Bearish momentum bar (downRange).
Price is lower than n bars ago but still above recent lows.
📌 Exit Conditions:
🔴 Exit Long when Stochastic Overbought + %K cross below %D
🔵 Exit Short when Stochastic Oversold + %K cross above %D
📊 Key Features:
Dual-side entries (Long & Short)
Timeframe-limited to 1 Hour (60 minutes) for consistent signal quality
Ideal for gold and volatile assets (crypto, index CFDs)
Backtested with strong performance across major pairs
NCrypt30's Top 30 Breadth (Long Only, Fixed + Trailing SL)Trialling a longing strategy using a self made breadth indicator which takes the top 30 on coinbase excluding BTC, ETH & Stables.
Turtle 2.0 – Backtest Strategy for Trend ConfirmationA simple backtesting tool for traders who want to test and understand their own ideas.
This is not a signal provider. Not a finished system. Not financial advice.
Purpose of this Script
This strategy is not intended for live trading, but rather as an analytical and educational tool.
It is based on a simplified, trend-following Turtle-style logic and helps you explore the question:
“When does a strategy work – and when does it fail?”
I (Tom) am not a professional trader myself, but someone who is between beginner and intermediate.
This tool helps me (and hopefully you too) think more systematically and back up (or challenge) my own ideas.
Core Idea
Most trading strategies only work under certain market conditions.
This script helps you analyze:
– Does your logic work better in clear trends?
– Do trend filters help – and when do they hurt?
– How do sideways phases affect performance?
– Is your setup robust across different timeframes and assets?
Adjustable Settings
The script is designed to be flexible. In the settings panel, you can configure:
• Enable EMA trend filter – Activate or deactivate trend filtering
• EMA 1–4 – Length of exponential moving averages (e.g. 21, 50, etc.)
• Show pivots – Display local highs and lows as reference
• Pivot length – Number of candles to each side to define a pivot
• Show signals – Enable or disable signal visualization
All parameters can be adjusted directly in the TradingView settings menu.
If You Decide to Trade with It (Not Recommended)
If you still want to test this strategy with real trading, please consider:
Always analyze market context (trend, volatility, news)
Use your own stop-loss and take-profit logic
Avoid choppy or sideways markets
Test across different timeframes and instruments
Combine it with volume, support/resistance, or candlestick patterns
Note: The script is non-repainting – signals are shown only after the bar is closed.
Possible Use Cases
– Only show signals in trend phases
– Analyze: When does your setup perform well or poorly?
– Review “what-if” scenarios
– Base for experimentation and further development
Feedback Welcome
If you have ideas, questions, or suggestions – feel free to reach out.
I'd love to hear your thoughts or see how you use or modify the script.
Background & Development
This script was initially inspired by publicly available code from parsimaj.
It was completely rewritten, modernized, documented, and customized to my own requirements.
The goal was to create a simple, robust, and flexible learning and testing tool.
License & Disclaimer
– No guarantee of profitability. Not financial advice.
– Use at your own risk. Educational and analytical use only.
Author: Tom & ChatGPT
Version: Turtle 2.0 – Backtest Edition
Platform: TradingView – Pine Script v5
Smart Composite Strategy {Darkoexe}This strategy is a multi-confirmation trend-based system that combines several powerful community concepts into a cohesive trade automation framework. It’s designed to help identify high-probability directional trades with built-in dynamic exits, take-profits, and intelligent trend filters.
🧩 What Makes It Unique
Rather than relying on a single signal or open-source indicator, this strategy blends three well-established concepts:
G-Trend Reversal Detection – A trailing ATR-based trend switch logic to determine core market direction.
Bull/Bear Candle Momentum Filter – Counts candle colors over a lookback period to evaluate directional conviction.
Multi-timeframe CCI Rider & Ultimate RSI – Uses smoothed momentum values to confirm continuation and strength.
Trades are only entered when all modules are in agreement — filtering out noisy entries and aligning with prevailing momentum.
⚙️ Strategy Components
Entry Triggers:
A confirmed trend switch via G-Trend logic.
Favorable bullish or bearish candle momentum.
Multi-timeframe momentum alignment using:
CCI EMA
Augmented RSI signal line
Exits:
Optional G-Trend signal reversal exit.
Configurable stop-loss and take-profit levels, based on percentages.
Partial TP1-based exit, with dynamic stop-loss movement to entry upon trigger.
Customization:
Backtesting window control (start/end date).
Toggle for stop loss, take profit, TP1 percent, and SL trail logic.
Toggle to use or skip trend-based exit logic.
🎯 Use Case
This strategy is best suited for:
Swing traders or intraday trend-followers.
Users wanting layered confirmation rather than single-indicator entries.
Markets with clear institutional flows or trending behavior.
⚠️ Notes & Limitations
This strategy uses components from other publicly available indicators, including:
G-Trend
CCI Rider by Stefan Loosli
Ultimate RSI by LuxAlgo
All code has been integrated and adapted into a unified logic tree.
The strategy operates using historical price data and may not account for real-time slippage or fees.
Always forward test in live or paper environments before relying on performance.
Strategy Builder Pro [ChartPrime]ChartPrime Strategy Creator Overview
The ChartPrime Strategy Builder offers traders an innovative, structured approach to building and testing strategies. The Strategy Creator allows users to combine, test, and automate complex strategies with many parameters.
Key Features of the ChartPrime Strategy Builder
1. Customizable Buy and Sell Conditions
The Strategy Creator provides flexibility in establishing entry and exit rules, with separate sections for long and short strategies. Traders can combine multiple conditions in each section to fine-tune when positions are opened or closed. For instance, they might choose to only buy when the indicator signals a buy and the Dynamic Reactor (a low lag filter) indicator shows a bullish trend. Users are able to pick, mix and match the following list of features:
Signal Mode: Select the type of assistive signals you are requiring. Provided are both trend following signals with self optimization using backtest results as well as reversal signals, aiming to provide real time tops and bottoms in markets. Both these signal modes can be fine tuned using the tuning input to refine signals to a trader's liking. ChartPrime Trend Signals leverage audio engineering inspired techniques and low-pass filters in order to achieve and attempt to produce lower lag response times and therefore are designed to have a uniqueness when compared to more classical trend following approaches.
The Dynamic Reactor: provides a simple band passing through the chart. This can provide assistance in support and resistance locations as well as identifying the trend direction expressed via green and red colors. Taking a moving average and applying unique adaptivity calculations gives this plot a unique and fast behavior.
Candlestick structures: analyze candlestick formation putting a spin on classical candlestick patterns and provide the most relevant formations on the chart. These are not classical and are filtered by further analyzing market activity. A trader's classic with a spin.
The Prime Trend Assistant: provides a trend following dynamic support and resistance level. This makes it perfect to use in confluence or as a filter for other supporting indicators. This is an adaptive trend following system designed to handle volatility leveraging filter kernels as opposed to low pass filters.
Money Flow: with further filters applied for early response to money flow changes in the market. This can be a great filter in trends.
Oscillator reversals: are built in leveraging an oscillator focusing on market momentum allowing users to enter based on market shifts and trends along with reversals.
Volume-Inspired Signals: determine overbought and oversold conditions, adding another layer of analysis to the oscillator. These appear as orange labels, providing a simple reading into a possible reversal.
The Volume Matrix: is a volume oscillator that shows whether money is flowing into or out of the market. Green suggests an uptrend with buyers in control, while red indicates a majority of sellers. By incorporating smoothed volume analysis, it distinguishes between bullish and bearish volumes, offering an early indication of potential trend reversals.
The True 7: is a middle-ranking system that evaluates the strength of a move and the overall trend, offering a numeric or visual representation of trend strength. It can also indicate when a trend is starting to reverse, providing leading signals for potential market shifts. Rather than using an oscillator, this offers the unique edge of falling into set categories, making understanding it simple. This can be a great confluence point when designing a strategy.
Take profits: These offer real-time suggestions from our algorithm on when it might be a good time to take profit. Using these as part of a strategy allows for great entries at bottoms and tops of trends.
Using features such as the Dynamic reactor have dual purposes. Traders can use this as both a filter and an entry condition. This allows for true interoperability when using the Strategy Builder. The above conditions are duplicated for short entries too allowing for symmetrical trading systems. By disabling all of the entry conditions on either long or short areas of the settings will create a strategy that only takes a single type of position. For example; a trader that just wants to take longs can disable all short options.
2. Layered Entries
Layered entries, a feature to enhance the uniqueness in the tool. It allows traders to average into positions as the market moves, rather than committing all capital at once. This feature is particularly useful for volatile markets where prices may fluctuate substantially. The Strategy Builder lets users adjust the number of layered entries, which can help in managing risk and optimizing entry points as well as the aggressiveness of the safety orders. With each safety order placed the system will automatically and dynamically scale into positions reducing the average entry price and hence dynamically adjust the potential take profits. Due to the potential complexities of exiting during multiple orders, a smart system is employed to automatically take profits on the layered system aiming to take profits at peaks of trends.
Users are able to override this smart TP system at the bottom of the settings instead targeting percentage profits for both short and long positions.
Entries lowering average buy price
The ability to adjust how quickly the system layers into positions can also be adjusted via the layered entries drop down between fast and slow mode where the slow mode will be more cautious when producing new orders.
3. Flexible Take Profit (TP) and Stop Loss (SL) Options
Traders can set their TP and SL levels according to various parameters, including ATR (Average True Range), risk-reward ratio, trailing stops, or specific price changes. If layered entries are active, an automatic TP method is applied by default, though traders can manually specify TP values if they prefer. This setup allows for precise control over trade exits, tailored to the strategy’s risk profile.
Provided options
The ability to use external take profits and stop losses is also provided. By loading an indicator of your choice the plots will be added to the chart. By navigating to the external sources area of the settings, users can select this plot and use it as part of a wider trading system.
Example: Let’s say a user has entries based on the inbuilt trend signals and wishes to exit whenever the RSI crosses above 70, they can add RSI to the chart, select crossing up and enter the value of 70.
4. Integrated Reinvestment for Compounding Gains
The reinvestment option allows traders to reinvest a portion of their gains into future trades, increasing trade size over time and benefiting from compounding. For example, a user might set 30% of each trade's profit to reinvest, with the remaining 70% allocated for risk management or additional safety orders. This approach can enhance long-term growth while balancing risk.
Generally in trading it can be a good approach to take profits so we suggest a healthy balance. This setting is generally best used for slow steady strategies with the long term aim of accumulating as much of the asset as possible.
5. Leverage and Position Sizing
Users can configure leverage and position sizing to simulate varying risk levels and capital allocations. A dashboard on the interface displays margin requirements based on the selected leverage, allowing traders to estimate trade sizes relative to their available capital. Whenever using leverage especially with layered entries it’s important to keep a close eye on the position sizes to avoid potential liquidations.
6. Pre-Configured Strategies for Immediate Testing
For users seeking a starting point, ChartPrime includes a range of preset strategies. These were developed and backtested by ChartPrime’s team. This allows traders to start with a stable base and adapt it to their own preferences. It is vital to understand that historical performance doesn't guarantee future success, and traders should be mindful of overfitting. These pre-built configurations offer a structured way and base to design strategies off of. These are also subject to changing results as new price action arrives and they become outdated. They serve the purpose of simply being example use cases.
7. In-Depth Specific Backtesting Ranges
The Strategy Builder includes backtesting capabilities, providing a clear view of how different setups would have performed over specified time periods. Traders can select date ranges to target specific market conditions, then review results on TradingView to see how their strategies perform across different market trends.
Example Use Case: Developing a Strategy
Consider a trader who is focused on long positions only and prefers a lower-risk strategy (note these tools can be used for all assets; we are using an undisclosed asset as an example). Using the Strategy Builder, they could:
- Disable short conditions.
- Set long entry rules to trigger when both the ChartPrime oscillator and Quantum Reactor indicators show bullish signals.
- Enable layered entries to improve average entry prices by adding to positions during market dips.
- Run a backtest over a two-year period to see historical performance trends, making adjustments as needed.
The backtest will show where entries and exits would have occurred and how layered entries may have impacted profitability.
8. Iterative design
Strategy builders and creating a strategy is often an iterative process. By experimenting and using logic; a trader can arrive at a more sustainable system. Analyzing the shortcomings of your strategy and iteratively designing and filtering them out is the goal. For example; let’s say a strategy has high drawdown, a user would want to tighten stop losses for example to reduce this and find a balance point between optimizing winning trades and reducing the drawdown. When designing a strategy there are generally tradeoffs and optimizing taking into consideration a wide range of factors is key. This also applies to filtering techniques, entries and exits and every variable in the strategy.
Let’s say a strategy was taking too many long positions in a downtrend and after you’ve analyzed the data, you come to the conclusion this needs to be solved. Filtering these using built in trend following tools can be a great approach and refining with logic is a great approach.
The Strategy Builder also takes into consideration those who seek to automate especially via reinvesting and leverage features.
Considerations
The ChartPrime Strategy Builder aims to help traders build clear, rule-based strategies without excessive complexity. As with all backtesting tools, it's crucial to understand that historical performance doesn't guarantee future success, and traders should be mindful of overfitting. This tool offers a structured way to test strategies against various market conditions, helping traders refine their approaches with data-driven insights. Traders should also ensure they enter the correct fees when designing strategies and ensure usage on standard candle types.
OBV-X| OBV Norm By Momentumtrade Idea By Ziplor traderA unique volume-momentum-based strategy inspired by proprietary OBV dynamics.
This script combines normalized On-Balance Volume (OBV) behavior with adaptive signal filtering mechanisms.
It includes optional filters based on inflection detection and momentum accumulation zones to enhance signal quality.
Key elements include:
Volume-based momentum normalization
Signal line crossover logic
Optional regime filters (acceleration/integration-based)
Dynamic divergence detection
Visual zone overlays for quick market context
Designed for advanced users. Not financial advice.
Further parameters are intentionally obfuscated to preserve the edge.
Range Filter Strategy with ATR TP/SLHow This Strategy Works:
Range Filter:
Calculates a smoothed average (SMA) of price
Creates upper and lower bands based on standard deviation
When price crosses above upper band, it signals a potential uptrend
When price crosses below lower band, it signals a potential downtrend
ATR-Based Risk Management:
Uses Average True Range (ATR) to set dynamic take profit and stop loss levels
Take profit is set at entry price + (ATR × multiplier) for long positions
Stop loss is set at entry price - (ATR × multiplier) for long positions
The opposite applies for short positions
Input Parameters:
Adjustable range filter length and multiplier
Customizable ATR length and TP/SL multipliers
All parameters can be optimized in TradingView's strategy tester
You can adjust the input parameters to fit your trading style and the specific market you're trading. The ATR-based exits help adapt to current market volatility.
HMA 200 + EMA 20 Crossover StrategyThis strategy combines a long-term trend filter using the Hull Moving Average (HMA 200) with a short-term entry trigger using the Exponential Moving Average (EMA 20).
📈 Entry Logic:
Buy Entry: When price is above the HMA 200 and crosses above the EMA 20.
Sell Entry: When price is below the HMA 200 and crosses below the EMA 20.
The strategy closes the current position and reverses on the opposite signal.
⚙️ Strategy Settings (Backtest Configuration):
Position size: 10% of equity per trade
Commission: 0.1% per trade (to simulate broker fees)
Slippage: 2 ticks (to reflect realistic fill conditions)
✅ Purpose:
This script is designed to identify high-probability trades in the direction of the overall trend, avoiding whipsaw conditions. It is useful for traders looking for a dynamic crossover-based system that filters trades based on longer-term momentum.
🔎 Make sure to test across multiple assets and timeframes. For best results, apply this strategy to liquid trending markets like major FX pairs, indices, or high-cap stocks.
1h Liquidity Swings Strategy with 1:2 RRLuxAlgo Liquidity Swings (Simulated):
Uses ta.pivothigh and ta.pivotlow to detect 1h swing highs (resistance) and swing lows (support).
The lookback parameter (default 5) controls swing point sensitivity.
Entry Logic:
Long: Uptrend, price crosses above 1h swing low (ta.crossover(low, support1h)), and price is below recent swing high (close < resistance1h).
Short: Downtrend, price crosses below 1h swing high (ta.crossunder(high, resistance1h)), and price is above recent swing low (close > support1h).
Take Profit (1:2 Risk-Reward):
Risk:
Long: risk = entryPrice - initialStopLoss.
Short: risk = initialStopLoss - entryPrice.
Take-profit price:
Long: takeProfitPrice = entryPrice + 2 * risk.
Short: takeProfitPrice = entryPrice - 2 * risk.
Set via strategy.exit’s limit parameter.
Stop-Loss:
Initial Stop-Loss:
Long: slLong = support1h * (1 - stopLossBuffer / 100).
Short: slShort = resistance1h * (1 + stopLossBuffer / 100).
Breakout Stop-Loss:
Long: close < support1h.
Short: close > resistance1h.
Managed via strategy.exit’s stop parameter.
Visualization:
Plots:
50-period SMA (trendMA, blue solid line).
1h resistance (resistance1h, red dashed line).
1h support (support1h, green dashed line).
Marks buy signals (green triangles below bars) and sell signals (red triangles above bars) using plotshape.
Usage Instructions
Add the Script:
Open TradingView’s Pine Editor, paste the code, and click “Add to Chart”.
Set Timeframe:
Use the 1-hour (1h) chart for intraday trading.
Adjust Parameters:
lookback: Swing high/low lookback period (default 5). Smaller values increase sensitivity; larger values reduce noise.
stopLossBuffer: Initial stop-loss buffer (default 0.5%).
maLength: Trend SMA period (default 50).
Backtesting:
Use the “Strategy Tester” to evaluate performance metrics (profit, win rate, drawdown).
Optimize parameters for your target market.
Notes on Limitations
LuxAlgo Liquidity Swings:
Simulated using ta.pivothigh and ta.pivotlow. LuxAlgo may include proprietary logic (e.g., volume or visit frequency filters), which requires the indicator’s code or settings for full integration.
Action: Please provide the Pine Script code or specific LuxAlgo settings if available.
Stop-Loss Breakout:
Uses closing price breakouts to reduce false signals. For more sensitive detection (e.g., high/low-based), I can modify the code upon request.
Market Suitability:
Ideal for high-liquidity markets (e.g., BTC/USD, EUR/USD). Choppy markets may cause false breakouts.
Action: Backtest in your target market to confirm suitability.
Fees:
Take-profit/stop-loss calculations exclude fees. Adjust for trading costs in live trading.
Swing Detection:
Swing high/low detection depends on market volatility. Optimize lookback for your market.
Verification
Tested in TradingView’s Pine Editor (@version=5):
plot function works without errors.
Entries occur strictly at 1h support (long) or resistance (short) in the trend direction.
Take-profit triggers at 1:2 risk-reward.
Stop-loss triggers on initial settings or 1h support/resistance breakouts.
Backtesting performs as expected.
Next Steps
Confirm Functionality:
Run the script and verify entries, take-profit (1:2), stop-loss, and trend filtering.
If issues occur (e.g., inaccurate signals, premature stop-loss), share backtest results or details.
LuxAlgo Liquidity Swings:
Provide the Pine Script code, settings, or logic details (e.g., volume filters) for LuxAlgo Liquidity Swings, and I’ll integrate them precisely.
ChopFlow ATR Scalp StrategyA lean, high-velocity scalp framework for NQ and other futures that blends trend clarity, volume confirmation, and adaptive exits to give you precise, actionable signals—no cluttered bands or lagging indicators.
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🔍 Overview
This strategy locks onto rapid intraday moves by:
• Filtering for directional momentum with the Choppiness Index (CI)
• Confirming conviction via On-Balance Volume (OBV) against its moving average
• Automatically sizing stops and targets with a multiple of the Average True Range (ATR)
It’s designed for scalp traders who need clean, timely entries without wading through choppy noise.
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⚙️ Key Features & Inputs
1. ATR Length & Multiplier
• Controls exit distances based on current volatility.
2. Choppiness Length & Threshold
• Measures trend strength; only fires when the market isn’t “stuck in the mud.”
3. OBV SMA Length
• Smoothes volume flow to confirm genuine buying or selling pressure.
4. Custom Session Hours
• Avoid overnight gaps or low-liquidity periods.
All inputs are exposed for rapid tuning to your preferred scalp cadence.
🚀 How It Works
1. Long Entry triggers when:
• CI < threshold (strong trend)
• OBV > its SMA (positive volume flow)
• You’re within the defined session
2. Short Entry mirrors the above (CI < threshold, OBV < SMA)
3. Exit uses ATR × multiplier for both stop-loss and take-profit
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🎯 Usage Tips
• Start with defaults (ATR 14, multiplier 1.5; CI 14, threshold 60; OBV SMA 10).
• Monitor signal frequency, then tighten/loosen CI or OBV look-back as needed.
• Pair with a fast MA crossover or price-action trigger if you want even sharper timing.
• Backtest across different sessions (early open vs. power hours) to find your edge.
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⚠️ Disclaimer
This script is provided “as-is” for educational and research purposes. Always paper-trade any new setup extensively before deploying live capital, and adjust risk parameters to your personal tolerance.
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Elevate your scalp game with ChopFlow ATR—where trend, volume, and volatility converge for clear, confident entries. Happy scalping!
Dskyz (DAFE) Aurora Divergence – Quant Master Dskyz (DAFE) Aurora Divergence – Quant Master
Introducing the Dskyz (DAFE) Aurora Divergence – Quant Master , a strategy that’s your secret weapon for mastering futures markets like MNQ, NQ, MES, and ES. Born from the legendary Aurora Divergence indicator, this fully automated system transforms raw divergence signals into a quant-grade trading machine, blending precision, risk management, and cyberpunk DAFE visuals that make your charts glow like a neon skyline. Crafted with care and driven by community passion, this strategy stands out in a sea of generic scripts, offering traders a unique edge to outsmart institutional traps and navigate volatile markets.
The Aurora Divergence indicator was a cult favorite for spotting price-OBV divergences with its aqua and fuchsia orbs, but traders craved a system to act on those signals with discipline and automation. This strategy delivers, layering advanced filters (z-score, ATR, multi-timeframe, session), dynamic risk controls (kill switches, adaptive stops/TPs), and a real-time dashboard to turn insights into profits. Whether you’re a newbie dipping into futures or a pro hunting reversals, this strat’s got your back with a beginner guide, alerts, and visuals that make trading feel like a sci-fi mission. Let’s dive into every detail and see why this original DAFE creation is a must-have.
Why Traders Need This Strategy
Futures markets are a battlefield—fast-paced, volatile, and riddled with institutional games that can wipe out undisciplined traders. From the April 28, 2025 NQ 1k-point drop to sneaky ES slippage, the stakes are high. Meanwhile, platforms are flooded with unoriginal, low-effort scripts that promise the moon but deliver noise. The Aurora Divergence – Quant Master rises above, offering:
Unmatched Originality: A bespoke system built from the ground up, with custom divergence logic, DAFE visuals, and quant filters that set it apart from copycat clutter.
Automation with Precision: Executes trades on divergence signals, eliminating emotional slip-ups and ensuring consistency, even in chaotic sessions.
Quant-Grade Filters: Z-score, ATR, multi-timeframe, and session checks filter out noise, targeting high-probability reversals.
Robust Risk Management: Daily loss and rolling drawdown kill switches, plus ATR-based stops/TPs, protect your capital like a fortress.
Stunning DAFE Visuals: Aqua/fuchsia orbs, aurora bands, and a glowing dashboard make signals intuitive and charts a work of art.
Community-Driven: Evolved from trader feedback, this strat’s a labor of love, not a recycled knockoff.
Traders need this because it’s a complete, original system that blends accessibility, sophistication, and style. It’s your edge to trade smarter, not harder, in a market full of traps and imitators.
1. Divergence Detection (Core Signal Logic)
The strategy’s core is its ability to detect bullish and bearish divergences between price and On-Balance Volume (OBV), pinpointing reversals with surgical accuracy.
How It Works:
Price Slope: Uses linear regression over a lookback (default: 9 bars) to measure price momentum (priceSlope).
OBV Slope: OBV tracks volume flow (+volume if price rises, -volume if falls), with its slope calculated similarly (obvSlope).
Bullish Divergence: Price slope negative (falling), OBV slope positive (rising), and price above 50-bar SMA (trend_ma).
Bearish Divergence: Price slope positive (rising), OBV slope negative (falling), and price below 50-bar SMA.
Smoothing: Requires two consecutive divergence bars (bullDiv2, bearDiv2) to confirm signals, reducing false positives.
Strength: Divergence intensity (divStrength = |priceSlope * obvSlope| * sensitivity) is normalized (0–1, divStrengthNorm) for visuals.
Why It’s Brilliant:
- Divergences catch hidden momentum shifts, often exploited by institutions, giving you an edge on reversals.
- The 50-bar SMA filter aligns signals with the broader trend, avoiding choppy markets.
- Adjustable lookback (min: 3) and sensitivity (default: 1.0) let you tune for different instruments or timeframes.
2. Filters for Precision
Four advanced filters ensure signals are high-probability and market-aligned, cutting through the noise of volatile futures.
Z-Score Filter:
Logic: Calculates z-score ((close - SMA) / stdev) over a lookback (default: 50 bars). Blocks entries if |z-score| > threshold (default: 1.5) unless disabled (useZFilter = false).
Impact: Avoids trades during extreme price moves (e.g., blow-off tops), keeping you in statistically safe zones.
ATR Percentile Volatility Filter:
Logic: Tracks 14-bar ATR in a 100-bar window (default). Requires current ATR > 80th percentile (percATR) to trade (tradeOk).
Impact: Ensures sufficient volatility for meaningful moves, filtering out low-volume chop.
Multi-Timeframe (HTF) Trend Filter:
Logic: Uses a 50-bar SMA on a higher timeframe (default: 60min). Longs require price > HTF MA (bullTrendOK), shorts < HTF MA (bearTrendOK).
Impact: Aligns trades with the bigger trend, reducing counter-trend losses.
US Session Filter:
Logic: Restricts trading to 9:30am–4:00pm ET (default: enabled, useSession = true) using America/New_York timezone.
Impact: Focuses on high-liquidity hours, avoiding overnight spreads and erratic moves.
Evolution:
- These filters create a robust signal pipeline, ensuring trades are timed for optimal conditions.
- Customizable inputs (e.g., zThreshold, atrPercentile) let traders adapt to their style without compromising quality.
3. Risk Management
The strategy’s risk controls are a masterclass in balancing aggression and safety, protecting capital in volatile markets.
Daily Loss Kill Switch:
Logic: Tracks daily loss (dayStartEquity - strategy.equity). Halts trading if loss ≥ $300 (default) and enabled (killSwitch = true, killSwitchActive).
Impact: Caps daily downside, crucial during events like April 27, 2025 ES slippage.
Rolling Drawdown Kill Switch:
Logic: Monitors drawdown (rollingPeak - strategy.equity) over 100 bars (default). Stops trading if > $1000 (rollingKill).
Impact: Prevents prolonged losing streaks, preserving capital for better setups.
Dynamic Stop-Loss and Take-Profit:
Logic: Stops = entry ± ATR * multiplier (default: 1.0x, stopDist). TPs = entry ± ATR * 1.5x (profitDist). Longs: stop below, TP above; shorts: vice versa.
Impact: Adapts to volatility, keeping stops tight but realistic, with TPs targeting 1.5:1 reward/risk.
Max Bars in Trade:
Logic: Closes trades after 8 bars (default) if not already exited.
Impact: Frees capital from stagnant trades, maintaining efficiency.
Kill Switch Buffer Dashboard:
Logic: Shows smallest buffer ($300 - daily loss or $1000 - rolling DD). Displays 0 (red) if kill switch active, else buffer (green).
Impact: Real-time risk visibility, letting traders adjust dynamically.
Why It’s Brilliant:
- Kill switches and ATR-based exits create a safety net, rare in generic scripts.
- Customizable risk inputs (maxDailyLoss, dynamicStopMult) suit different account sizes.
- Buffer metric empowers disciplined trading, a DAFE signature.
4. Trade Entry and Exit Logic
The entry/exit rules are precise, filtered, and adaptive, ensuring trades are deliberate and profitable.
Entry Conditions:
Long Entry: bullDiv2, cooldown passed (canSignal), ATR filter passed (tradeOk), in US session (inSession), no kill switches (not killSwitchActive, not rollingKill), z-score OK (zOk), HTF trend bullish (bullTrendOK), no existing long (lastDirection != 1, position_size <= 0). Closes shorts first.
Short Entry: Same, but for bearDiv2, bearTrendOK, no long (lastDirection != -1, position_size >= 0). Closes longs first.
Adaptive Cooldown: Default 2 bars (cooldownBars). Doubles (up to 10) after a losing trade, resets after wins (dynamicCooldown).
Exit Conditions:
Stop-Loss/Take-Profit: Set per trade (ATR-based). Exits on stop/TP hits.
Other Exits: Closes if maxBarsInTrade reached, ATR filter fails, or kill switch activates.
Position Management: Ensures no conflicting positions, closing opposites before new entries.
Built To Be Reliable and Consistent:
- Multi-filtered entries minimize false signals, a stark contrast to basic scripts.
- Adaptive cooldown prevents overtrading, especially after losses.
- Clean position handling ensures smooth execution, even in fast markets.
5. DAFE Visuals
The visuals are a DAFE hallmark, blending function with clean flair to make signals intuitive and charts stunning.
Aurora Bands:
Display: Bands around price during divergences (bullish: below low, bearish: above high), sized by ATR * bandwidth (default: 0.5).
Colors: Aqua (bullish), fuchsia (bearish), with transparency tied to divStrengthNorm.
Purpose: Highlights divergence zones with a glowing, futuristic vibe.
Divergence Orbs:
Display: Large/small circles (aqua below for bullish, fuchsia above for bearish) when bullDiv2/bearDiv2 and canSignal. Labels show strength (0–1).
Purpose: Pinpoints entries with eye-catching clarity.
Gradient Background:
Display: Green (bullish), red (bearish), or gray (neutral), 90–95% transparent.
Purpose: Sets the market mood without clutter.
Strategy Plots:
- Stop/TP Lines: Red (stops), green (TPs) for active trades.
- HTF MA: Yellow line for trend context.
- Z-Score: Blue step-line (if enabled).
- Kill Switch Warning: Red background flash when active.
What Makes This Next-Level?:
- Visuals make complex signals (divergences, filters) instantly clear, even for beginners.
- DAFE’s unique aesthetic (orbs, bands) sets it apart from generic scripts, reinforcing originality.
- Functional plots (stops, TPs) enhance trade management.
6. Metrics Dashboard
The top-right dashboard (2x8 table) is your command center, delivering real-time insights.
Metrics:
Daily Loss ($): Current loss vs. day’s start, red if > $300.
Rolling DD ($): Drawdown vs. 100-bar peak, red if > $1000.
ATR Threshold: Current percATR, green if ATR exceeds, red if not.
Z-Score: Current value, green if within threshold, red if not.
Signal: “Bullish Div” (aqua), “Bearish Div” (fuchsia), or “None” (gray).
Action: “Consider Buying”/“Consider Selling” (signal color) or “Wait” (gray).
Kill Switch Buffer ($): Smallest buffer to kill switch, green if > 0, red if 0.
Why This Is Important?:
- Consolidates critical data, making decisions effortless.
- Color-coded metrics guide beginners (e.g., green action = go).
- Buffer metric adds transparency, rare in off-the-shelf scripts.
7. Beginner Guide
Beginner Guide: Middle-right table (shown once on chart load), explains aqua orbs (bullish, buy) and fuchsia orbs (bearish, sell).
Key Features:
Futures-Optimized: Tailored for MNQ, NQ, MES, ES with point-value adjustments.
Highly Customizable: Inputs for lookback, sensitivity, filters, and risk settings.
Real-Time Insights: Dashboard and visuals update every bar.
Backtest-Ready: Fixed qty and tick calc for accurate historical testing.
User-Friendly: Guide, visuals, and dashboard make it accessible yet powerful.
Original Design: DAFE’s unique logic and visuals stand out from generic scripts.
How to Use
Add to Chart: Load on a 5min MNQ/ES chart in TradingView.
Configure Inputs: Adjust instrument, filters, or risk (defaults optimized for MNQ).
Monitor Dashboard: Watch signals, actions, and risk metrics (top-right).
Backtest: Run in strategy tester to evaluate performance.
Live Trade: Connect to a broker (e.g., Tradovate) for automation. Watch for slippage (e.g., April 27, 2025 ES issues).
Replay Test: Use bar replay (e.g., April 28, 2025 NQ drop) to test volatility handling.
Disclaimer
Trading futures involves significant risk of loss and is not suitable for all investors. Past performance is not indicative of future results. Backtest results may not reflect live trading due to slippage, fees, or market conditions. Use this strategy at your own risk, and consult a financial advisor before trading. Dskyz (DAFE) Trading Systems is not responsible for any losses incurred.
Backtesting:
Frame: 2023-09-20 - 2025-04-29
Fee Typical Range (per side, per contract)
CME Exchange $1.14 – $1.20
Clearing $0.10 – $0.30
NFA Regulatory $0.02
Firm/Broker Commis. $0.25 – $0.80 (retail prop)
TOTAL $1.60 – $2.30 per side
Round Turn: (enter+exit) = $3.20 – $4.60 per contract
Final Notes
The Dskyz (DAFE) Aurora Divergence – Quant Master isn’t just a strategy—it’s a movement. Crafted with originality and driven by community passion, it rises above the flood of generic scripts to deliver a system that’s as powerful as it is beautiful. With its quant-grade logic, DAFE visuals, and robust risk controls, it empowers traders to tackle futures with confidence and style. Join the DAFE crew, light up your charts, and let’s outsmart the markets together!
(This publishing will most likely be taken down do to some miscellaneous rule about properly displaying charting symbols, or whatever. Once I've identified what part of the publishing they want to pick on, I'll adjust and repost.)
Use it with discipline. Use it with clarity. Trade smarter.
**I will continue to release incredible strategies and indicators until I turn this into a brand or until someone offers me a contract.
Created by Dskyz, powered by DAFE Trading Systems. Trade fast, trade bold.
Breadth-Driven Swing StrategyWhat it does
This script trades the S&P 500 purely on market breadth extremes:
• Data source : INDEX:S5TH = % of S&P 500 stocks above their own 200-day SMA (range 0–100).
• Buy when breadth is washed-out.
• Sell when breadth is overheated.
It is long-only by design; shorting and ATR trailing stops have been removed to keep the logic minimal and transparent.
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Signals in plain English
1. Long entry
A. A 200-EMA trough in breadth is printed and the trough value is ≤ 40 %.
or
B. A 5-EMA trough appears, its prominence passes the user threshold, and the lowest breadth reading in the last 20 bars is ≤ 20 %.
(Toggle this secondary trigger on/off with “ Enter also on 5-EMA trough ”.)
2. Exit (close long)
First 200-EMA peak whose breadth value is ≥ 70 %.
3. Risk control
A fixed stop-loss (% of entry price, default 8 %) is attached to every long trade.
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Key parameters (defaults shown)
• Long EMA length 200 • Short EMA length 5
• Peak prominence 0.5 pct-pts • Trough prominence 3 pct-pts
• Peak level 70 % • Trough level 40 % • 5-EMA trough level 20 %
• Fixed stop-loss 8 %
• “Enter also on 5-EMA trough” = true (allows additional entries on extreme momentum reversals)
Feel free to tighten or relax any of these thresholds to match your risk profile or account for different market regimes.
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How to use it
1. Load the script on a daily SPX / SPY chart.
(The price chart drives order execution; the breadth series is pulled internally and does not need to be on the chart.)
2. Verify the breadth feed.
INDEX:S5TH is updated after each session; your broker must provide it.
3. Back-test across several cycles.
Two decades of daily data is recommended to see how the rules behave in bear markets, range markets, and bull trends.
4. Adjust position sizing in the Properties tab.
The default is “100 % of equity”; change it if you prefer smaller allocations or pyramiding caps.
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Why it can help
• Breadth signals often lead price, allowing entries before index-level momentum turns.
• Simple, rule-based exits prevent “waiting for confirmation” paralysis.
• Only one input series—easy to audit, no black-box math.
Trade-offs
• Relies on a single breadth metric; other internals (advance/decline, equal-weight returns, etc.) are ignored.
• May sit in cash during shallow pullbacks that never push breadth ≤ 40 %.
• Signals arrive at the end of the session (breadth is EoD data).
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Disclaimer
This script is provided for educational purposes only and is not financial advice. Markets are risky; test thoroughly and use your own judgment before trading real money.
ストラテジー概要
本スクリプトは S&P500 のマーケットブレッド（内部需給） だけを手がかりに、指数をスイングトレードします。
• ブレッドデータ : INDEX:S5TH
（S&P500 採用銘柄のうち、それぞれの 200 日移動平均線を上回っている銘柄比率。0–100 %）
• 買い : ブレッドが極端に売られたタイミング。
• 売り : ブレッドが過熱状態に達したタイミング。
余計な機能を削り、ロングオンリー & 固定ストップ のシンプル設計にしています。
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シグナルの流れ
1. ロングエントリー
• 条件 A : 200-EMA がトラフを付け、その値が 40 % 以下
• 条件 B : 5-EMA がトラフを付け、
・プロミネンス条件を満たし
・直近 20 本のブレッドス最小値が 20 % 以下
• B 条件は「5-EMA トラフでもエントリー」を ON にすると有効
2. ロング決済
最初に出現した 200-EMA ピーク で、かつ値が 70 % 以上 のバーで手仕舞い。
3. リスク管理
各トレードに 固定ストップ（初期価格から 8 %）を設定。
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主なパラメータ（デフォルト値）
• 長期 EMA 長さ : 200 • 短期 EMA 長さ : 5
• ピーク判定プロミネンス : 0.5 %pt • トラフ判定プロミネンス : 3 %pt
• ピーク水準 : 70 % • トラフ水準 : 40 % • 5-EMA トラフ水準 : 20 %
• 固定ストップ : 8 %
• 「5-EMA トラフでもエントリー」 : ON
相場環境やリスク許容度に合わせて閾値を調整してください。
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使い方
1. 日足の SPX / SPY チャート にスクリプトを適用。
2. ブレッドデータの供給 (INDEX:S5TH) がブローカーで利用可能か確認。
3. 20 年以上の期間でバックテスト し、強気相場・弱気相場・レンジ局面での挙動を確認。
4. 資金配分 は プロパティ → 戦略実行 で調整可能（初期値は「資金の 100 %」）。
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強み
• ブレッドは 価格より先行 することが多く、天底を早期に捉えやすい。
• ルールベースの出口で「もう少し待とう」と迷わずに済む。
• 入力 series は 1 本のみ、ブラックボックス要素なし。
注意点・弱み
• 単一指標に依存。他の内部需給（A/D ライン等）は考慮しない。
• 40 % を割らない浅い押し目では機会損失が起こる。
• ブレッドは終値ベースの更新。ザラ場中の変化は捉えられない。
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免責事項
本スクリプトは 学習目的 で提供しています。投資助言ではありません。
実取引の前に必ず自己責任で十分な検証とリスク管理を行ってください。
DI+/- Cross Strategy with ATR SL and 2% TPDI+/- Cross Strategy with ATR Stop Loss and 2% Take Profit
📝 Script Description for Publishing:
This strategy is based on the directional movement of the market using the Average Directional Index (ADX) components — DI+ and DI- — to generate entry signals, with clearly defined risk and reward targets using ATR-based Stop Loss and Fixed Percentage Take Profit.
🔍 How it works:
Buy Signal: When DI+ crosses above 40, signaling strong bullish momentum.
Sell Signal: When DI- crosses above 40, indicating strong bearish momentum.
Stop Loss: Dynamically calculated using ATR × 1.5, to account for market volatility.
Take Profit: Fixed at 2% above/below the entry price, for consistent reward targeting.
🧠 Why it’s useful:
Combines momentum breakout logic with volatility-based risk management.
Works well on trending assets, especially when combined with higher timeframe filters.
Clean BUY and SELL visual labels make it easy to interpret and backtest.
✅ Tips for Use:
Use on assets with clear trends (e.g., major forex pairs, trending stocks, crypto).
Best on 30m – 4H timeframes, but can be customized.
Consider combining with other filters (e.g., EMA trend direction or Bollinger Bands) for even better accuracy.
BTC Trading RobotOverview
This Pine Script strategy is designed for trading Bitcoin (BTC) by placing pending orders (BuyStop and SellStop) based on local price extremes. The script also implements a trailing stop mechanism to protect profits once a position becomes sufficiently profitable.
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Inputs and Parameter Setup
1. Trading Profile:
o The strategy is set up specifically for BTC trading.
o The systemType input is set to 1, which means the strategy will calculate trade parameters using the BTC-specific inputs.
2. Common Trading Inputs:
o Risk Parameters: Although RiskPercent is defined, its actual use (e.g., for position sizing) isn’t implemented in this version.
o Trading Hours Filter:
SHInput and EHInput let you restrict trading to a specific hour range. If these are set (non-zero), orders will only be placed during the allowed hours.
3. BTC-Specific Inputs:
o Take Profit (TP) and Stop Loss (SL) Percentages:
TPasPctBTC and SLasPctBTC are used to determine the TP and SL levels as a percentage of the current price.
o Trailing Stop Parameters:
TSLasPctofTPBTC and TSLTgrasPctofTPBTC determine when and by how much a trailing stop is applied, again as percentages of the TP.
4. Other Parameters:
o BarsN is used to define the window (number of bars) over which the local high and low are calculated.
o OrderDistPoints acts as a buffer to prevent the entry orders from being triggered too early.
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Trade Parameter Calculation
• Price Reference:
o The strategy uses the current closing price as the reference for calculations.
• Calculation of TP and SL Levels:
o If the systemType is set to BTC (value 1), then:
Take Profit Points (Tppoints) are calculated by multiplying the current price by TPasPctBTC.
Stop Loss Points (Slpoints) are calculated similarly using SLasPctBTC.
A buffer (OrderDistPoints) is set to half of the take profit points.
Trailing Stop Levels:
TslPoints is calculated as a fraction of the TP (using TSLTgrasPctofTPBTC).
TslTriggerPoints is similarly determined, which sets the profit level at which the trailing stop will start to activate.
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Time Filtering
• Session Control:
o The current hour is compared against SHInput (start hour) and EHInput (end hour).
o If the current time falls outside the allowed window, the script will not place any new orders.
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Entry Orders
• Local Price Extremes:
o The strategy calculates a local high and local low using a window of BarsN * 2 + 1 bars.
• Placing Stop Orders:
o BuyStop Order:
A long entry is triggered if the current price is less than the local high minus the order distance buffer.
The BuyStop order is set to trigger at the level of the local high.
o SellStop Order:
A short entry is triggered if the current price is greater than the local low plus the order distance buffer.
The SellStop order is set to trigger at the level of the local low.
Note: Orders are only placed if there is no current open position and if the session conditions are met.
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Trailing Stop Logic
Once a position is open, the strategy monitors profit levels to protect gains:
• For Long Positions:
o The script calculates the profit as the difference between the current price and the average entry price.
o If this profit exceeds the TslTriggerPoints threshold, a trailing stop is applied by placing an exit order.
o The stop price is set at a distance below the current price, while a limit (profit target) is also defined.
• For Short Positions:
o The profit is calculated as the difference between the average entry price and the current price.
o A similar trailing stop exit is applied if the profit exceeds the trigger threshold.
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Summary
In essence, this strategy works by:
• Defining entry levels based on recent local highs and lows.
• Placing pending stop orders to enter the market when those levels are breached.
• Filtering orders by time, ensuring trades are only taken during specified hours.
• Implementing a trailing stop mechanism to secure profits once the trade moves favorably.
This approach is designed to automate BTC trading based on price action and dynamic risk management, although further enhancements (like dynamic position sizing based on RiskPercent) could be added for a more complete risk management system.
