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inwCoin ActionZone Risk% Strategy========================= English ========================= CDC Action Zone strategy with improved exit logic Buy = Candle turn from blue to green Sell = Price close below EMA 18 * Action Zone is just way to put MACD on chart for easily read Original entry/exit logic is Green = Buy Red = Sell Working great for BTC TF Daily. ========================== Thai ========================== "เทรดไรบ่อยๆ ปีนึงเทรดครั้งสองครั้งก็พอแล้ว -- มาเทรดเอาตัง ไม่ได้เอาเท่" คำพูดสุดคลาสสิคของคุณลุงโฉลก ซึ่งเมื่อท่านเทรดไปบ่อยๆ ก็พบว่า ... เออ จริงของแก เทรดไรบ่อยวะ นั่งทับมือ กันเฉยๆ น่ะเป็นไหม ตัวนี้ผมเอา Action Zone เดิม มาปรับปรุง ให้เราสามารถเลือก Risk % ได้ จากเดิมที่เป็นการเข้าแบบทั้งก้อน ตอนนี้ก็ให้เข้าแบบ vary ได้แทน
Pine Script® strategy
by Real_inwCoin
MACDSurfer v1 for BitMEX's ETHUSD/XBTUSD perpetualthis is a predicting strategy, based on long- and short term MACD signals. intended for use on ETHUSD/XBTUSD perpetual on the 1 hour chart (but may be useful elsewhere) don't stare excitedly at the backtesting graph - the future may always be disappointing. time will tell! strategy was programmed around jan 2019, so it needs a year of running to see if it holds up in the long term. source code is available for ~250 usd worth of btc or eth. contact me! I also implemented a fully functioning python version, available for ~1500 usd worth of btc/eth, this includes some help with setting it up.
Pine Script® strategy
by bazkie
Stochastic & MACD Strategy Ver 1.0This strategy is inspired by ChartArt and jasonluk28. The following input changes from the initial ChartArt version to achieve higher stability and profit: Fast MA Len:11 Slow MA len: 24 Stoch Len: 20 No difference is found in minor changes (+-10) lv. of overbought/oversold It works above 40% winning rate in Heng Heng Index, Shanghai Composite, Dow Jones Industrial Averge, S&P 500 NASDAQ, VT (World Total Market) and in 15 mins chart Profit: above ~10 to 30% in less than 1year backtest for most major indice of China and US and ~62% in Heng Seng Index (Hong Kong) & 40.5% in SZSE Composite (Shen Zhen) P.S. Profit: 700 (Tencent) +150.5%, 939 (CCB) +66.5%, 1299 (AIA) +45%, 2628 (CLIC) +41%, 1 (CK Hutchison) +31% NFLX +82.5%, BABA +55.5%, AMZN +44%, GOOG +38%, MCD +24.5% However, Loss in FB -19% , AMD -38.5% Not suitable for stocks with great influences in News or Events ???
Pine Script® strategy
by Unc1efrog
MACDouble + RSI (rec. 15min-2hr intrv) Uses two sets of MACD plus an RSI to either long or short. All three indicators trigger buy/sell as one (ie it's not 'IF MACD1 OR MACD2 OR RSI > 1 = buy", its more like "IF 1 AND 2 AND RSI=buy", all 3 match required for trigger) The MACD inputs should be tweaked depending on timeframe and what you are trading. If you are doing 1, 3, 5 min or real frequent trading then 21/44/20 and 32/66/29 or other high value MACDs should be considered. If you are doing longer intervals like 2, 3, 4hr then consider 9/19/9 and 21/44/20 for MACDs (experiment! I picked these example #s randomly). Ideal usage for the MACD sets is to have MACD2 inputs at around 1.5x, 2x, or 3x MACD1's inputs. Other settings to consider: try having fastlength1=macdlength1 and then (fastlength2 = macdlength2 - 2). Like 10/26/10 and 23/48/20. This seems to increase net profit since it is more likely to trigger before major price moves, but may decrease profitable trade %. Conversely, consider FL1=MCDL1 and FL2 = MCDL2 + (FL2 * 0.5). Example: 10/26/10 and 22/48/30 this can increase profitable trade %, though may cost some net profit. Feel free to message me with suggestions or questions.
Pine Script® strategy
by RyanMartin
6
Trend Deviation strategy - BTC [IkkeOmar]Intro: This is an example if anyone needs a push to get started with making strategies in pine script. This is an example on BTC, obviously it isn't a good strategy, and I wouldn't share my own good strategies because of alpha decay. This strategy integrates several technical indicators to determine market trends and potential trade setups. These indicators include: Directional Movement Index (DMI) Bollinger Bands (BB) Schaff Trend Cycle (STC) Moving Average Convergence Divergence (MACD) Momentum Indicator Aroon Indicator Supertrend Indicator Relative Strength Index (RSI) Exponential Moving Average (EMA) Volume Weighted Average Price (VWAP) It's crucial for you guys to understand the strengths and weaknesses of each indicator and identify synergies between them to improve the strategy's effectiveness. Indicator Settings: DMI (Directional Movement Index): Length: This parameter determines the number of bars used in calculating the DMI. A higher length may provide smoother results but might lag behind the actual price action. Bollinger Bands: Length: This parameter specifies the number of bars used to calculate the moving average for the Bollinger Bands. A longer length results in a smoother average but might lag behind the price action. Multiplier: The multiplier determines the width of the Bollinger Bands. It scales the standard deviation of the price data. A higher multiplier leads to wider bands, indicating increased volatility, while a lower multiplier results in narrower bands, suggesting decreased volatility. Schaff Trend Cycle (STC): Length: This parameter defines the length of the STC calculation. A longer length may result in smoother but slower-moving signals. Fast Length: Specifies the length of the fast moving average component in the STC calculation. Slow Length: Specifies the length of the slow moving average component in the STC calculation. MACD (Moving Average Convergence Divergence): Fast Length: Determines the number of bars used to calculate the fast EMA (Exponential Moving Average) in the MACD. Slow Length: Specifies the number of bars used to calculate the slow EMA in the MACD. Signal Length: Defines the number of bars used to calculate the signal line, which is typically an EMA of the MACD line. Momentum Indicator: Length: This parameter sets the number of bars over which momentum is calculated. A longer length may provide smoother momentum readings but might lag behind significant price changes. Aroon Indicator: Length: Specifies the number of bars over which the Aroon indicator calculates its values. A longer length may result in smoother Aroon readings but might lag behind significant market movements. Supertrend Indicator: Trendline Length: Determines the length of the period used in the Supertrend calculation. A longer length results in a smoother trendline but might lag behind recent price changes. Trendline Factor: Specifies the multiplier used in calculating the trendline. It affects the sensitivity of the indicator to price changes. RSI (Relative Strength Index): Length: This parameter sets the number of bars over which RSI calculates its values. A longer length may result in smoother RSI readings but might lag behind significant price changes. EMA (Exponential Moving Average): Fast EMA: Specifies the number of bars used to calculate the fast EMA. A shorter period results in a more responsive EMA to recent price changes. Slow EMA: Determines the number of bars used to calculate the slow EMA. A longer period results in a smoother EMA but might lag behind recent price changes. VWAP (Volume Weighted Average Price): Default settings are typically used for VWAP calculations, which consider the volume traded at each price level over a specific period. This indicator provides insights into the average price weighted by trading volume. backtest range and rules: You can specify the start date for backtesting purposes. You can can select the desired trade direction: Long, Short, or Both. Entry and Exit Conditions: LONG: DMI Cross Up: The Directional Movement Index (DMI) indicates a bullish trend when the positive directional movement (+DI) crosses above the negative directional movement (-DI). Bollinger Bands (BB): The price is below the upper Bollinger Band, indicating a potential reversal from the upper band. Momentum Indicator: Momentum is positive, suggesting increasing buying pressure. MACD (Moving Average Convergence Divergence): The MACD line is above the signal line, indicating bullish momentum. Supertrend Indicator: The Supertrend indicator signals an uptrend. Schaff Trend Cycle (STC): The STC indicates a bullish trend. Aroon Indicator: The Aroon indicator signals a bullish trend or crossover. When all these conditions are met simultaneously, the strategy considers it a favorable opportunity to enter a long trade. SHORT: DMI Cross Down: The Directional Movement Index (DMI) indicates a bearish trend when the negative directional movement (-DI) crosses above the positive directional movement (+DI). Bollinger Bands (BB): The price is above the lower Bollinger Band, suggesting a potential reversal from the lower band. Momentum Indicator: Momentum is negative, indicating increasing selling pressure. MACD (Moving Average Convergence Divergence): The MACD line is below the signal line, signaling bearish momentum. Supertrend Indicator: The Supertrend indicator signals a downtrend. Schaff Trend Cycle (STC): The STC indicates a bearish trend. Aroon Indicator: The Aroon indicator signals a bearish trend or crossover. When all these conditions align, the strategy considers it an opportune moment to enter a short trade. Disclaimer: THIS ISN'T AN OPTIMAL STRATEGY AT ALL! It was just an old project from when I started learning pine script! The backtest doesn't promise the same results in the future, always do both in-sample and out-of-sample testing when backtesting a strategy. And make sure you forward test it as well before implementing it! Furthermore this strategy uses both trend and mean-reversion systems, that is usually a no-go if you want to build robust trend systems . Don't hesitate to comment if you have any questions or if you have some good notes for a beginner.
Pine Script® strategy
by IkkeOmar
Heatmap MACD Strategy - Pineconnector (Dynamic Alerts)Hello traders This script is an upgrade of this template script. Heatmap MACD Strategy Pineconnector Pineconnector is a trading bot software that forwards TradingView alerts to your Metatrader 4/5 for automating trading. Many traders don't know how to dynamically create Pineconnector-compatible alerts using the data from their TradingView scripts. Traders using trading bots want their alerts to reflect the stop-loss/take-profit/trailing-stop/stop-loss to breakeven options from your script and then create the orders accordingly. This script showcases how to create Pineconnector alerts dynamically. Pineconnector doesn't support alerts with multiple Take Profits. As a workaround, for 2 TPs, I had to open two trades. It's not optimal, as we end up paying more spreads for that extra trade - however, depending on your trading strategy, it may not be a big deal. TradingView Alerts 1) You'll have to create one alert per asset X timeframe = 1 chart. Example : 1 alert for EUR/USD on the 5 minutes chart, 1 alert for EUR/USD on the 15-minute chart (assuming you want your bot to trade the EUR/USD on the 5 and 15-minute timeframes) 2) For each alert, the alert message is pre-configured with the text below {{strategy.order.alert_message}} Please leave it as it is. It's a TradingView native variable that will fetch the alert text messages built by the script. 3) Don't forget to set the webhook URL in the Notifications tab of the TradingView alerts UI. EA configuration The Pyramiding in the EA on Metatrader must be set to 2 if you want to trade with 2 TPs => as it's opening 2 trades. If you only want 1 TP, set the EA Pyramiding to 1. Regarding the other EA settings, please refer to the Pineconnector documentation on their website. Logger The Pineconnector commands are logged in the TradingView logger. You'll find more information about it from this TradingView blog post Important Notes 1) This multiple MACDs strategy doesn't matter much. I could have selected any other indicator or concept for this script post. I wanted to share an example of how you can quickly upgrade your strategy, making it compatible with Pineconnector. 2) The backtest results aren't relevant for this educational script publication. I used realistic backtesting data but didn't look too much into optimizing the results, as this isn't the point of why I'm publishing this script. 3) This template is made to take 1 trade per direction at any given time. Pyramiding is set to 1 on TradingView. The strategy default settings are: Initial Capital: 100000 USD
 Position Size: 1 contract Commission Percent: 0.075% Slippage: 1 tick No margin/leverage used For example, those are realistic settings for trading CFD indices with low timeframes but not the best possible settings for all assets/timeframes. Concept The Heatmap MACD Strategy allows selecting one MACD in five different timeframes. You'll get an exit signal whenever one of the 5 MACDs changes direction.
 Then, the strategy re-enters whenever all the MACDs are in the same direction again. It takes: long trades when all the 5 MACD histograms are bullish short trades when all the 5 MACD histograms are bearish You can select the same timeframe multiple times if you don't need five timeframes. For example, if you only need the 30min, the 1H, and 2H, you can set your timeframes as follow: 30m 30m 30m 1H 2H Risk Management Features All the features below are pips-based. Stop-Loss Trailing Stop-Loss Stop-Loss to Breakeven after a certain amount of pips has been reached Take Profit 1st level and closing X% of the trade Take Profit 2nd level and close the remaining of the trade Custom Exit I added the option ON/OFF to close the opened trade whenever one of the MACD diverges with the others. Help me help the community If you see any issue when adding your strategy logic to that template regarding the orders fills on your Metatrader, please let me know in the comments. I'll use your feedback to make this template more robust. :) What's next? I'll publish a more generic template built as a connector so you can connect any indicator to that Pineconnector template. Then, I'll publish a template for Capitalise AI, ProfitView, AutoView, and Alertatron. Thank you Dave
Pine Script® strategy
by Daveatt
1
Supertrend + MACD CrossoverKey Elements of the Template: Supertrend Settings: supertrendFactor: Adjustable to control the sensitivity of the Supertrend. supertrendATRLength: ATR length used for Supertrend calculation. MACD Settings: macdFastLength, macdSlowLength, macdSignalSmoothing: These settings allow you to fine-tune the MACD for better results. Risk Management: Stop-Loss: The stop-loss is based on the ATR (Average True Range), a volatility-based indicator. Take-Profit: The take-profit is based on the risk-reward ratio (set to 3x by default). Both stop-loss and take-profit are dynamic, based on ATR, which adjusts according to market volatility. Buy and Sell Signals: Buy Signal: Supertrend is bullish, and MACD line crosses above the Signal line. Sell Signal: Supertrend is bearish, and MACD line crosses below the Signal line. Visual Elements: The Supertrend line is plotted in green (bullish) and red (bearish). Buy and Sell signals are shown with green and red triangles on the chart. Next Steps for Optimization: Backtesting: Run backtests on BTC in the 5-minute timeframe and adjust parameters (Supertrend factor, MACD settings, risk-reward ratio) to find the optimal configuration for the 60% win ratio. Fine-Tuning Parameters: Adjust supertrendFactor and macdFastLength to find more optimal values based on BTC's market behavior. Tweak the risk-reward ratio to maximize profitability while maintaining a good win ratio. Evaluate Market Conditions: The performance of the strategy can vary based on market volatility. It may be helpful to evaluate performance in different market conditions or pair it with a filter like RSI or volume. Let me know if you'd like further tweaks or explanations!
Pine Script® strategy
by rk1359722
Multi-Confluence Swing Hunter V1# Multi-Confluence Swing Hunter V1 - Complete Description Overview The Multi-Confluence Swing Hunter V1 is a sophisticated low timeframe scalping strategy specifically optimized for MSTR (MicroStrategy) trading. This strategy employs a comprehensive point-based scoring system that combines optimized technical indicators, price action analysis, and reversal pattern recognition to generate precise trading signals on lower timeframes. Performance Highlight: In backtesting on MSTR 5-minute charts, this strategy has demonstrated over 200% profit performance, showcasing its effectiveness in capturing rapid price movements and volatility patterns unique to MicroStrategy's trading behavior. The strategy's parameters have been fine-tuned for MSTR's unique volatility characteristics, though they can be optimized for other high-volatility instruments as well. ## Key Innovation & Originality This strategy introduces a unique **dual scoring system** approach: - **Entry Scoring**: Identifies swing bottoms using 13+ different technical criteria - **Exit Scoring**: Identifies swing tops using inverse criteria for optimal exit timing Unlike traditional strategies that rely on simple indicator crossovers, this system quantifies market conditions through a weighted scoring mechanism, providing objective, data-driven entry and exit decisions. ## Technical Foundation ### Optimized Indicator Parameters The strategy utilizes extensively backtested parameters specifically optimized for MSTR's volatility patterns: **MACD Configuration (3,10,3)**: - Fast EMA: 3 periods (vs standard 12) - Slow EMA: 10 periods (vs standard 26) - Signal Line: 3 periods (vs standard 9) - **Rationale**: These faster parameters provide earlier signal detection while maintaining reliability, particularly effective for MSTR's rapid price movements and high-frequency volatility **RSI Configuration (21-period)**: - Length: 21 periods (vs standard 14) - Oversold: 30 level - Extreme Oversold: 25 level - **Rationale**: The 21-period RSI reduces false signals while still capturing oversold conditions effectively in MSTR's volatile environment **Parameter Adaptability**: While optimized for MSTR, these parameters can be adjusted for other high-volatility instruments. Faster-moving stocks may benefit from even shorter MACD periods, while less volatile assets might require longer periods for optimal performance. ### Scoring System Methodology **Entry Score Components (Minimum 13 points required)**: 1. **RSI Signals** (max 5 points): - RSI < 30: +2 points - RSI < 25: +2 points - RSI turning up: +1 point 2. **MACD Signals** (max 8 points): - MACD below zero: +1 point - MACD turning up: +2 points - MACD histogram improving: +2 points - MACD bullish divergence: +3 points 3. **Price Action** (max 4 points): - Long lower wick (>50%): +2 points - Small body (<30%): +1 point - Bullish close: +1 point 4. **Pattern Recognition** (max 8 points): - RSI bullish divergence: +4 points - Quick recovery pattern: +2 points - Reversal confirmation: +4 points **Exit Score Components (Minimum 13 points required)**: Uses inverse criteria to identify swing tops with similar weighting system. ## Risk Management Features ### Position Sizing & Risk Control - **Single Position Strategy**: 100% equity allocation per trade - **No Overlapping Positions**: Ensures focused risk management - **Configurable Risk/Reward**: Default 5:1 ratio optimized for volatile assets ### Stop Loss & Take Profit Logic - **Dynamic Stop Loss**: Based on recent swing lows with configurable buffer - **Risk-Based Take Profit**: Calculated using risk/reward ratio - **Clean Exit Logic**: Prevents conflicting signals ## Default Settings Optimization ### Key Parameters (Optimized for MSTR/Bitcoin-style volatility): - **Minimum Entry Score**: 13 (ensures high-conviction entries) - **Minimum Exit Score**: 13 (prevents premature exits) - **Risk/Reward Ratio**: 5.0 (accounts for volatility) - **Lower Wick Threshold**: 50% (identifies true hammer patterns) - **Divergence Lookback**: 8 bars (optimal for swing timeframes) ### Why These Defaults Work for MSTR: 1. **Higher Score Thresholds**: MSTR's volatility requires more confirmation 2. **5:1 Risk/Reward**: Compensates for wider stops needed in volatile markets 3. **Faster MACD**: Captures momentum shifts quickly in fast-moving stocks 4. **21-period RSI**: Reduces noise while maintaining sensitivity ## Visual Features ### Score Display System - **Green Labels**: Entry scores ≥10 points (below bars) - **Red Labels**: Exit scores ≥10 points (above bars) - **Large Triangles**: Actual trade entries/exits - **Small Triangles**: Reversal pattern confirmations ### Chart Cleanliness - Indicators plotted in separate panes (MACD, RSI) - TP/SL levels shown only during active positions - Clear trade markers distinguish signals from actual trades ## Backtesting Specifications ### Realistic Trading Conditions - **Commission**: 0.1% per trade - **Slippage**: 3 points - **Initial Capital**: $1,000 - **Account Type**: Cash (no margin) ### Sample Size Considerations - Strategy designed for 100+ trade sample sizes - Recommended timeframes: 4H, 1D for swing trading - Optimal for trending/volatile markets ## Strategy Limitations & Considerations ### Market Conditions - **Best Performance**: Trending markets with clear swings - **Reduced Effectiveness**: Highly choppy, sideways markets - **Volatility Dependency**: Optimized for moderate to high volatility assets ### Risk Warnings - **High Allocation**: 100% position sizing increases risk - **No Diversification**: Single position strategy - **Backtesting Limitation**: Past performance doesn't guarantee future results ## Usage Guidelines ### Recommended Assets & Timeframes - **Primary Target**: MSTR (MicroStrategy) - 5min to 15min timeframes - **Secondary Targets**: High-volatility stocks (TSLA, NVDA, COIN, etc.) - **Crypto Markets**: Bitcoin, Ethereum (with parameter adjustments) - **Timeframe Optimization**: 1min-15min for scalping, 30min-1H for swing scalping ### Timeframe Recommendations - **Primary Scalping**: 5-minute and 15-minute charts - **Active Monitoring**: 1-minute for precise entries - **Swing Scalping**: 30-minute to 1-hour timeframes - **Avoid**: Sub-1-minute (excessive noise) and above 4-hour (reduces scalping opportunities) ## Technical Requirements - **Pine Script Version**: v6 - **Overlay**: Yes (plots on price chart) - **Additional Panes**: MACD and RSI indicators - **Real-time Compatibility**: Confirmed bar signals only ## Customization Options All parameters are fully customizable through inputs: - Indicator lengths and levels - Scoring thresholds - Risk management settings - Visual display preferences - Date range filtering ## Conclusion This scalping strategy represents a comprehensive approach to low timeframe trading that combines multiple technical analysis methods into a cohesive, quantified system specifically optimized for MSTR's unique volatility characteristics. The optimized parameters and scoring methodology provide a systematic way to identify high-probability scalping setups while managing risk effectively in fast-moving markets. The strategy's strength lies in its objective, multi-criteria approach that removes emotional decision-making from scalping while maintaining the flexibility to adapt to different instruments through parameter optimization. While designed for MSTR, the underlying methodology can be fine-tuned for other high-volatility assets across various markets. **Important Disclaimer**: This strategy is designed for experienced scalpers and is optimized for MSTR trading. The high-frequency nature of scalping involves significant risk. Past performance does not guarantee future results. Always conduct your own analysis, consider your risk tolerance, and be aware of commission/slippage costs that can significantly impact scalping profitability.
Pine Script® strategy
by Quant_Trading_Pro
3
Minervini Pullback Strategy_Trend-Template QualifierGeneral Description and Unique Features of this Script Introducing the ultimate trend-following (long-only) strategy that offers a unique feature you won't find anywhere else! 1. Our script/strategy utilizes Mark Minervini's Trend-Template as a qualifier for identifying stocks and other financial securities in confirmed uptrends. Mark Minervini, a 3x US Investment Champion, developed the Trend-Template, which covers eight different and independent characteristics that can be adjusted and optimized in this trend-following strategy to ensure the best results. The strategy will only trigger buy-signals in case the optimized qualifiers are being met. 2. Our strategy is based on supply/demand balance in the market, making it timeless and effective across all timeframes. Whether you're day trading using 1- or 5-min charts or swing-trading using daily charts, this strategy can be applied and works very well. 3. We also incorporate technical indicators such as RSI and MACD to identify low-risk pullback entries in the context of confirmed uptrends. By doing so, the risk profile of this strategy and drawdowns are being reduced to an absolute minimum, giving you peace of mind while trading. Minervini’s Trend-Template and the ‘Stage-Analysis’ of the Markets This strategy is a so-called 'long-only' strategy. This means that we only take long positions, short positions are not considered. The best market environment for such strategies are periods of stable upward trends in the so-called stage 2 - uptrend. In stable upward trends, we increase our market exposure and risk. In sideways markets and downward trends or bear markets, we reduce our exposure very quickly or go 100% to cash and wait for the markets to recover and improve. This allows us to avoid major losses and drawdowns. This simple rule gives us a significant advantage over most undisciplined traders and amateurs!   'The Trend is your Friend'. This is a very old but true quote. What's behind it??? • 98% of stocks made their biggest gains in a Phase 2 upward trend. • If a stock is in a stable uptrend, this is evidence that larger institutions are buying the stock sustainably. • By focusing on stocks that are in a stable uptrend, the chances of profit are significantly increased. • In a stable uptrend, investors know exactly what to expect from further price developments. This makes it possible to locate low-risk entry points. The goal is not to buy at the lowest price – the goal is to buy at the right price! Each stock goes through the same maturity cycle – it starts at stage 1 and ends at stage 4   Stage 1 – Neglect Phase – Consolidation Stage 2 – Progressive Phase – Accumulation Stage 3 – Topping Phase – Distribution Stage 4 – Downtrend – Capitulation This strategy focuses on identifying stocks in confirmed stage 2 uptrends. This in itself gives us an advantage over long-term investors and less professional traders. By focusing on stocks in a stage 2 uptrend, we avoid losses in downtrends (stage 4) or less profitable consolidation phases (stages 1 and 3). We are fully invested and put our money to work for us, and we are fully invested when stocks are in their stage 2 uptrends. But how can we use technical chart analysis to find stocks that are in a stable stage 2 uptrend? Mark Minervini has developed the so-called 'trend template' for this purpose. This is an essential part of our JS-TechTrading pullback strategy. For our watchlists, only those individual values that meet the tough requirements of Minervini's trend template are eligible. The Trend Template • 200d MA increasing over a period of at least 1 month, better 4-5 months or longer • 150d MA above 200d MA • 50d MA above 150d MA and 200d MA • Course above 50d MA, 150d MA and 200d MA • Ideally, the 50d MA is increasing over at least 1 month • Price at least 25% above the 52w low • Price within 25% of 52w high • High relative strength according to IBD. We have developed an algorythm (for TradingView) that uses Minervini’s trend template as a qualifier. This means that the strategy only generates trading signals in case the selected elements of the trend template are being met. The user is fully flexible to adjust the requirements of this Trend-Template qualifier: This strategy is normally applied to the daily chart ideal for selecting individual stocks for trend-following strategies. Nevertheless, Minervini’s principles are timeless and this alogrithmic strategy with the Trend-Template qualifier can also be applied to any other timframe. The qualifier #9 (RS-Ratings) can be modified and optimized in the strategy’s settings to fit your individual needs. In general, it should be noted that ideally all 8/8 trend template criteria are met. Stocks or other securities that meet only some of these 8 criteria can also be very promising candidates for this strategy, provided that backtesting yields good results. The Pullback Strategy For the JS-TechTrading pullback strategy, only stocks and other financial instruments that meet the selected criteria of Mark Minervini's trend template are considered. If not, the strategy will not generate any signals. Further prerequisites for generating a buy signal is that the individual value is in a short-term oversold state (RSI). When the selling pressure is over and the continuation of the uptrend can be confirmed by the MACD after reaching a price low, a buy signal is issued by the pullback strategy. Stop-loss limits and profit targets can be set variably. Relative Strength Index (RSI) The Relative Strength Index (RSI) is a technical indicator developed by Welles Wilder in 1978. The RSI is used to perform a market value analysis and identify the strength of a trend as well as overbought and oversold conditions. The indicator is calculated on a scale from 0 to 100 and shows how much an asset has risen or fallen relative to its own price in recent periods. The RSI is calculated as the ratio of average profits to average losses over a certain period of time. A high value of the RSI indicates an overbought situation, while a low value indicates an oversold situation. Typically, a value > 70 is considered an overbought threshold and a value < 30 is considered an oversold threshold. A value above 70 signals that a single value may be overvalued and a decrease in price is likely , while a value below 30 signals that a single value may be undervalued and an increase in price is likely. For example, let's say you're watching a stock XYZ. After a prolonged falling movement, the RSI value of this stock has fallen to 26. This means that the stock is oversold and that it is time for a potential recovery. Therefore, a trader might decide to buy this stock in the hope that it will rise again soon. Moving Average Convergence Divergence (MACD) The MACD (Moving Average Convergence Divergence) is a technical indicator used in both short-term and long-term trading strategies. The indicator was developed by Gerald Appel and is one of the most well-known indicators for the stock market. The MACD consists of two lines calculated by the difference between two moving averages. The first line is a fast moving average that targets a short period of time. The second line is a slow moving average that targets a longer period of time. In addition, a trigger line is calculated, which consists of another moving average of the MACD line. The MACD line is the difference between the fast and slow moving average. The greater the difference between the two lines, the more likely a subsequent price increase. The lower the difference, the more likely a subsequent price drop is. If the MACD line crosses upwards over the trigger line, this is a buy signal that signals a potential price increase. If the MACD line crosses down below the trigger line, this is a sell signal that signals a potential price weakening. This strategy is applicable to all timeframes and the relevant parameters for the underlying indicators (RSI and MACD) can be adjusted and optimized as needed. Backtesting Backtesting give outstanding results on all timeframes and drawdowns can be reduced to a minimum level. Swing-Traders (daily charts) will see that the strategy does not give any buy signals during market corrections and bear markets. Settings for backtesting are: - Period from Jan 2000 until now - Starting capital 100k USD - Position size = 25% of equity - 0.01% commission = USD 2.50.- per Trade Other comments • This strategy has been designed to identify the most promising, highest probability entries and trades for each stock or other financial security. • The trend-template qualifier is highly selective and filters out the most promising swing-trading entries. As a result, you will normally only find a single-digit number of trades for each stock or other financial security per year in case you apply this strategy for the daily charts. Shorter timeframes will result in a higher number of trades / year. • As a result, traders need to apply this strategy for a full watchlist rather than just one financial security.
Pine Script® strategy
by JS_TechTrading
13
Supertrend and MACD strategyThe Supertrend and MACD Strategy is a comprehensive trading approach designed to capitalize on market trends by using a combination of the Supertrend indicator, the Exponential Moving Average (EMA), and the Moving Average Convergence Divergence (MACD). This strategy aims to identify optimal entry and exit points for both long and short trades, while incorporating strict risk management rules. Indicators Used: Supertrend: This indicator is used to identify the overall trend direction. It provides clear signals for trend reversals, helping traders to enter trades in the direction of the prevailing trend. 200-period EMA: This long-term moving average is used to determine the primary trend direction. The strategy only takes long trades when the price is above the 200 EMA and short trades when the price is below it. MACD: The MACD is used to gauge the momentum and confirm the signals provided by the Supertrend and EMA. It consists of the MACD line, the signal line, and the histogram. Entry Conditions: Long Entry: The Supertrend indicator shows an uptrend (direction > 0). The MACD line is above the signal line (macd > signal). The price is above the 200-period EMA (close > ema200). Short Entry: The Supertrend indicator shows a downtrend (direction < 0). The MACD line is below the signal line (macd < signal). The price is below the 200-period EMA (close < ema200). Exit Conditions: Long Exit: Exit the long position when the MACD line crosses below the signal line (ta.crossunder(macd, signal)). Set a stop loss (SL) below the lowest low of the last 10 periods (lowestLow - 1). Short Exit: Exit the short position when the MACD line crosses above the signal line (ta.crossover(macd, signal)). Set a stop loss (SL) above the highest high of the last 10 periods (highestHigh + 1). Risk Management: The strategy ensures that no new positions are opened if there is already an open trade, preventing overexposure in the market. Alerts: Alerts are set to notify traders when the MACD crosses the signal line, providing timely updates for potential exit points.
Pine Script® strategy
by angiludia