Chandelier Exit ZLSMA StrategyIntroducing a Powerful Trading Indicator: Chandelier Exit with ZLSMA
If you're a trader, you know the importance of having the right tools and indicators to make informed decisions. That's why we're excited to introduce a powerful new trading indicator that combines the Chandelier Exit and ZLSMA: two widely-used and effective indicators for technical analysis.
The Chandelier Exit (CE) is a popular trailing stop-loss indicator developed by Chuck LeBeau. It's designed to follow the price trend of a security and provide an exit signal when the price crosses below the CE line. The CE line is based on the Average True Range (ATR), which is a measure of volatility. This means that the CE line adjusts to the volatility of the security, making it a reliable indicator for trailing stop-losses.
The ZLEMA (Zero Lag Exponential Moving Average) is a type of exponential moving average that's designed to reduce lag and improve signal accuracy. The ZLSMA takes into account not only the current price but also past prices, using a weighted formula to calculate the moving average. This makes it a smoother indicator than traditional moving averages, and less prone to giving false signals.
When combined, the CE and ZLSMA create a powerful indicator that can help traders identify trend changes and make more informed trading decisions. The CE provides the trailing stop-loss signal, while the ZLSMA provides a smoother trend line to help identify potential entry and exit points.
In our indicator, the CE and ZLSMA are plotted together on the chart, making it easy to see both the trailing stop-loss and the trend line at the same time. The CE line is displayed as a dotted line, while the ZLSMA line is displayed as a solid line.
Using this indicator, traders can set their stop-loss levels based on the CE line, while also using the ZLSMA line to identify potential entry and exit points. The combination of these two indicators can help traders reduce their risk and improve their trading performance.
In conclusion, the Chandelier Exit with ZLSMA is a powerful trading indicator that combines two effective technical analysis tools. By using this indicator, traders can identify trend changes, set stop-loss levels, and make more informed trading decisions. Try it out for yourself and see how it can improve your trading performance.
Warning: The results in the backtest are from a repainting strategy. Don't take them seriously. You need to do a dry live test in order to test it for its useability.
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Here is a description of each input field in the provided source code:
length: An integer input used as the period for the ATR (Average True Range) calculation. Default value is 1.
mult: A float input used as a multiplier for the ATR value. Default value is 2.
showLabels: A boolean input that determines whether to display buy/sell labels on the chart. Default value is false.
isSignalLabelEnabled: A boolean input that determines whether to display signal labels on the chart. Default value is true.
useClose: A boolean input that determines whether to use the close price for extrema calculations. Default value is true.
zcolorchange: A boolean input that determines whether to enable rising/decreasing highlighting for the ZLSMA (Zero-Lag Exponential Moving Average) line. Default value is false.
zlsmaLength: An integer input used as the length for the ZLSMA calculation. Default value is 50.
offset: An integer input used as an offset for the ZLSMA calculation. Default value is 0.
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Ty for checking this out and good luck on your trading journey! Likes and comments are appreciated. 👍
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Credits to:
▪ @everget – Chandelier Exit (CE)
▪ @netweaver2022 – ZLSMA
Wskaźniki i strategie
Strategy Creator5 indicators. Backtesting available. Uses ADX, RSI, Stochastic, MACD, and crossing EMAs (1,2, or 3). This strategy creator allows you to turn on or off these indicators and adjust the parameters for each indicator. It allows you to make one trade at a time e.g the next trade doesn't open until the last one closes. (You are also able to enter how many trades in one direction you want for example if you want only 2 long trades in a row, then the strategy waits for the next short position without making anymore long trades. Once there are 2 short positions in a row, it waits for a long position). The code can be edited to for automated trading by editing the comment in the source code for the strategy parameters. This took many hours to finish. ENJOY.
Tradveller PivotA pivot strategy is a trading technique that involves identifying key price levels, called pivot points, where a financial instrument is likely to experience a change in direction. Pivot points serve as potential support and resistance levels, which can help traders make informed decisions on when to enter or exit positions, set stop-loss or take-profit orders, and gauge market sentiment.
The pivot point itself is calculated using the high, low, and closing prices of the previous trading period (usually daily, but it can be applied to any timeframe). Once the pivot point is determined, additional support and resistance levels can be calculated around it. There are several methods to calculate these levels, with the most common being the classic, Woodie's, Camarilla, and Fibonacci methods.
A pivot strategy usually involves the following steps:
Calculate the pivot point and support and resistance levels using one of the methods mentioned above.
Observe the market price action and identify if the price is trading above or below the pivot point. If the price is above the pivot point, it indicates bullish sentiment, while trading below the pivot point suggests bearish sentiment.
Use the support and resistance levels to identify potential entry and exit points. Traders might consider buying when the price approaches a support level and selling when it approaches a resistance level.
Set stop-loss orders and take-profit targets based on the calculated levels, ensuring proper risk management.
Pivot strategies can be used in various market conditions and timeframes, and they often work well in combination with other technical analysis tools and indicators. However, like any trading strategy, it's essential to use proper risk management techniques and understand that no strategy guarantees success in every trade.
Tradveller MomentumThis is the trend following + momentum startegy.
A momentum strategy is an investment approach that aims to capitalize on the continuation of existing market trends. It involves buying securities that have been performing well and selling or shorting those that have been underperforming, with the expectation that the strong performers will continue to do well, and the weak performers will continue to decline.
The core idea behind this strategy is that price momentum tends to persist over short to medium-term periods, and investors can profit from this by identifying and following trends. Momentum strategies can be applied to various asset classes, including stocks, bonds, commodities, and currencies.
There are different ways to measure and implement momentum strategies, such as:
Relative strength: Comparing the performance of a security or asset to a benchmark or its peers over a specific time frame.
Moving averages: Using moving averages (e.g., 50-day, 100-day, or 200-day) to identify trends and generate buy or sell signals.
Rate of change (ROC): Calculating the percentage change in price over a specified period to measure the speed and direction of price movements.
Trend-following indicators: Utilizing technical indicators such as Moving Average Convergence Divergence (MACD), Relative Strength Index (RSI), or Bollinger Bands to identify and follow trends.
Momentum strategies can be effective in both bull and bear markets. However, they are susceptible to sudden reversals in market trends, and thus, momentum investors need to be disciplined in following their strategy, managing risk, and adjusting their positions accordingly.
Dave Trend LinesDescription:
This indicator works with 2 main set ups.
1.-Price Action: 2 Trending lines : 1 superior with relevant high at 120 periods and 1 inferior with releveant lows of 120 perios.
2.-(hiden) 2 RSI Trending lines (based on 14 period and close) : 1 superior trend line with relevant high at 120 periods and 1 inferior trend line with releveant lows of 120 perios.
This indicador works as follows:
1.- Indicator detect chart form with trend lines and based on the last bar to 120 candles before.
Chart detected:
1.- Wedges = Cuña
2.- Chanels = Canal
2.- Indicador calculate trend lines superior and inferior of RSI with 120 candels previus.
2.- The indicator activate alerts once these conditions presented at the same time:
a) Price breake above trend line superior or breake under line inferior.
b) RSI brease above trend line superior or inferior.
How to use:
1.- Add indicator
2.- Indicator will show
*Buy / Sell Alerts.
3.- Stop Loss (Red Line) and Take Profit (Green Line) will be calculated automatically based on trading system theory with wedges and chanels.
4.- In Buy postion take Profit will be recalculated once new lows above the stop loss are presented.
In Sell postion take Profit will be recalculated once new lows above the stop loss are presented.
5.- Once price achiece take porfit level it will trigert an alert.
6.- Trade will be closed when Price cross the Stop Loss or Take Profit Dinamic.
Originality:
This is based on what I would like to know before start trading and loos a lot of money buying or selling with out any strategy regarding risk management, trade management, set up entry and close levels.
Risk Management:
Paramenters:
Risk = 1%
Capital = Variable Account Capital.
These 2 variables that the user can change, the indicator will sugget the lot size on that trade to avoid loose more that 1% of the capital in case the trade close with losss.
Break even stop loss (% of instrument price)Simply proof of concept to place a stop loss a percentage below entry price and move it to break even if the price moves the same percentage above the entre price.
Statistical Arbitrage Right LegStatistical Arbitrage, this is the right leg strategy signal.
You should find "Statistical Arbitrage Left Leg (Symbol 1)" this strategy for the opposite leg (Left Leg),
In order to full hedge the position exposure risk, and profit on the spread convergence.
Statistical arbitrage is a quantitative trading strategy that seeks to exploit pricing discrepancies in financial markets based on statistical models and analysis. It involves using mathematical models and statistical techniques to identify and take advantage of mispricings between related financial assets.
In statistical arbitrage, traders use sophisticated algorithms to identify pairs or groups of financial assets that are expected to move in tandem based on historical correlations. They then look for deviations from these historical patterns in order to generate profitable trades. For example, a trader might identify a pair of stocks that have historically moved together, but are currently priced such that one is significantly cheaper than the other. The trader would then buy the cheaper stock and simultaneously sell the more expensive one, hoping to profit when the prices converge.
Statistical arbitrage is a popular trading strategy among hedge funds and other institutional investors, who have access to large amounts of data and the computational resources necessary to analyze it. However, it requires significant expertise in statistics, mathematics, and programming, as well as access to advanced analytical tools and data sources.
Statistical Arbitrage Left LegStatistical Arbitrage, this is the left leg strategy signal.
You should find "Statistical Arbitrage Right Leg (Symbol 1)" this strategy for the opposite leg (Right Leg),
In order to full hedge the position exposure risk, and profit on the spread convergence.
Statistical arbitrage is a quantitative trading strategy that seeks to exploit pricing discrepancies in financial markets based on statistical models and analysis. It involves using mathematical models and statistical techniques to identify and take advantage of mispricings between related financial assets.
In statistical arbitrage, traders use sophisticated algorithms to identify pairs or groups of financial assets that are expected to move in tandem based on historical correlations. They then look for deviations from these historical patterns in order to generate profitable trades. For example, a trader might identify a pair of stocks that have historically moved together, but are currently priced such that one is significantly cheaper than the other. The trader would then buy the cheaper stock and simultaneously sell the more expensive one, hoping to profit when the prices converge.
Statistical arbitrage is a popular trading strategy among hedge funds and other institutional investors, who have access to large amounts of data and the computational resources necessary to analyze it. However, it requires significant expertise in statistics, mathematics, and programming, as well as access to advanced analytical tools and data sources.
SuperTrend Long Strategy +TrendFilterThis strategy aims to identify long (buy) opportunities in the market using the SuperTrend indicator. It utilizes the Average True Range (ATR) and a multiplier to determine the dynamic support levels for entering long positions. This presentation will provide an overview of the strategy's components, explain its usage, and highlight that it focuses on long trades.
Components of the Strategy:
1. ATR Period: This input determines the period used for calculating the Average True Range (ATR). A higher value may result in smoother trend lines but may lag behind recent price changes.
2. Source (src): This input determines the price source used for calculations, with "hl2" (the average of high and low prices) set as the default.
3. ATR Multiplier: This input specifies the multiplier applied to the ATR value to determine the distance of the support levels from the source.
4. Change ATR Calculation Method: This input allows toggling between two methods of ATR calculation: the default method using atr() or a simple moving average (SMA) of ATR values (sma(tr, Periods)).
5. Show Buy/Sell Signals: This input enables or disables the display of buy and sell signals on the chart.
6. Highlighter On/Off: This input controls whether highlighting of up and down trends is displayed on the chart.
7. Bar Coloring On/Off: This input determines whether the bars on the chart are colored based on the trend direction.
8. The "SuperTrend Long STRATEGY" has been enhanced by incorporating a trend filter. A moving average is used as the filter to confirm the prevailing trend before executing trades. This addition effectively reduces false signals and improves the strategy's reliability, all while maintaining its original name.
Strategy Logic:
1. The strategy calculates the upper (up) and lower (dn) trend lines based on the ATR value and the chosen multiplier.
2. The trend variable keeps track of the current trend, with 1 indicating an uptrend and -1 indicating a downtrend.
3. Buy and sell signals are generated based on the change in trend direction.
4. The strategy includes an optional highlighting feature that colors the chart background based on the current trend.
5. Additionally, the bar coloring feature colors the bars based on the direction of the last trend change.
Usage:
1. ATR Period and ATR Multiplier can be adjusted based on the desired sensitivity and risk tolerance.
2. Buy and sell signals can be displayed using the Show Buy/Sell Signals input, providing clear indications of entry and exit points.
3. The Highlighter On/Off input allows users to visually identify the prevailing trend by coloring the chart background.
4. The Bar Coloring On/Off input offers a quick visual reference for the most recent trend change.
Long Strategy:
The SuperTrend Long Strategy is specifically designed to identify long (buy) opportunities. It generates buy signals when the current trend changes from a downtrend to an uptrend, indicating a potential entry point for long positions. The strategy aims to capture upward price movements and maximize profits during bullish market conditions.
The SuperTrend Long Strategy provides traders with a systematic approach to identifying long trade opportunities. By leveraging the SuperTrend indicator and dynamic support levels, this strategy aims to generate buy signals in uptrending markets. Traders can customize the inputs and utilize the visual features to adapt the strategy to their specific trading preferences.
The modification adds a trend filter to the "SuperTrend Long STRATEGY" to improve its effectiveness. The trend filter uses a moving average to confirm the prevailing trend before taking trades. This addition helps filter out false signals and enhances the strategy's reliability without changing its name.
Slight Swing Momentum Strategy.Introduction:
The Swing Momentum Strategy is a quantitative trading strategy designed to capture mid-term opportunities in the financial markets by combining swing trading principles with momentum indicators. It utilizes a combination of technical indicators, including moving averages, crossover signals, and volume analysis, to generate buy and sell signals. The strategy aims to identify market trends and capitalize on price momentum for profit generation.
Highlights:
The strategy offers several key highlights that make it unique and potentially attractive to traders:
Swing Trading with Momentum: The strategy combines the principles of swing trading, which aim to capture short-to-medium-term price swings, with momentum indicators that help identify strong price trends and potential breakout opportunities.
Technical Indicator Optimization: The strategy utilizes a selection of optimized technical indicators, including moving averages and crossover signals, to filter out the noise and focus on high-probability trading setups. This optimization enhances the strategy's ability to identify favourable entry and exit points.
Risk Management: The strategy incorporates risk management techniques, such as position sizing based on equity and dynamic stop loss levels, to manage risk exposure and protect capital. This helps to minimize drawdowns and preserve profits.
Buy Condition:
The buy condition in the strategy is determined by a combination of factors, including A1, A2, A3, XG, and weeklySlope. Let's break it down:
A1 Condition: The A1 condition checks for specific price relationships. It verifies that the ratio of the highest price to the closing price is less than 1.03, the ratio of the opening price to the lowest price is less than 1.03, and the ratio of the highest price to the previous day's closing price is greater than 1.06. This condition looks for a specific pattern indicating potential bullish momentum.
A2 Condition: The A2 condition checks for price relationships related to the closing price. It verifies that the ratio of the closing price to the opening price is greater than 1.05 or that the ratio of the closing price to the previous day's closing price is greater than 1.05. This condition looks for signs of upward price movement and momentum.
A3 Condition: The A3 condition focuses on volume. It checks if the current volume crosses above the highest volume over the last 60 periods. This condition aims to identify increased buying interest and potentially confirms the strength of the potential upward price movement.
XG Condition: The XG condition combines the A1 and A2 conditions and checks if they are true for both the current and previous bars. It also verifies that the ratio of the closing price to the 5-period EMA crosses above the 9-period SMA of the same ratio. This condition helps identify potential buy signals when multiple factors align, indicating a strong bullish momentum and potential entry point.
Weekly Trend Factor: The weekly slope condition calculates the slope of the 50-period SMA over a weekly timeframe. It checks if the slope is positive, indicating an overall upward trend on a weekly basis. This condition provides additional confirmation that the stock is in an upward trend.
When all of these conditions align, the buy condition is triggered, indicating a favourable time to enter a long position.
Sell Condition:
The sell condition is relatively straightforward in the strategy:
Sell Signal: The sell condition simply checks if the closing price crosses below the 10-period EMA. When this condition is met, it indicates a potential reversal or weakening of the upward price momentum, and a sell signal is generated.
Backtest Outcome:
The strategy was backtested over the period from January 22nd, 1999 to May 3rd, 2023, using daily candlestick charts for the NASDAQ: NVDA. The strategy used an initial capital of 1,000,000 USD, The order quantity is defined as 10% of the equity. The strategy allows for pyramiding with 1 order, and the transaction fee is set at 0.03% per trade. Here are the key outcomes of the backtest:
Net Profit: 539,595.84 USD, representing a return of 53.96%.
Percent Profitable: 48.82%
Total Closed Trades: 127
Profit Factor: 2.331
Max Drawdown: 68,422.70 USD
Average Trade: 4,248.79 USD
Average Number of Bars in Trades: 11, indicating the average duration of the trades.
Conclusion:
In conclusion, the Swing Momentum Strategy is a quantitative trading approach that combines swing trading principles with momentum indicators to identify and capture mid term trading opportunities. The strategy has demonstrated promising results during backtesting, including a significant net profit and a favourable profit factor.
SME Backtesting [TFO]This strategy script is an extension of my Smart Money Essentials (SME) indicator and aims to provide a simplified means of backtesting complex trade models that incorporate a variety of Smart Money Concepts.
Among other things, Smart Money Essentials contains logic for:
- Market structure
- Fair Value Gaps
- Order Blocks
- Breaker Blocks
- Optimal Trade Entries
- HTF Market Structure
The Confluence section can then be utilized to build and test trade models from any combination of the included factors. As a basic example, we could test a strategy that only utilizes market structure. With Manual Exit turned off, we would simply be flipping long on bullish market structure shifts, and reversing short on bearish market structure shifts for the duration of the user-defined session.
As one might expect, such a simple strategy isn't expected to produce very reliable results by itself. However, we could build on these ideas by adding extra layers of Confluence, like looking for entries where Market Structure aligns with Order Block interactions. We could also turn on Manual Exit with a 40 tick stop loss and 80 tick profit target (10 points and 20 points, respectively, for ES futures), for more defined exit criteria.
One could expand on these ideas by adding factors like Fair Value Gaps, HTF Market Structure, etc. Any of the core pieces of SME can be used to build and backtest strategies that would otherwise be extremely tedious to do by hand, and as the SME indicator grows, so too will this backtesting script. Ultimately, the purpose of this is to make Smart Money Concepts more objective and easily testable so that users may better understand where these concepts may perform best.
X48 - Strategy | ADAPTIVE CONSECUTIVE + TP/SL | V.1Thanks For Tradingview Built-in Script :: << Original From Consecutive Strategy Built-in Script >>
================== Read This First Before Use This Strategy ==============
Please be aware that this strategy is not a guarantee of success and may lead to losses.
Trading involves risk and you should always do your own research before making any decisions.
This Strategy Just an Idea For Help Your Decision For Open Position.
You Must Be Search and Make Your Self Understand What You Doing In This Strategy.
Example :: This Strategy and Indicator Find The Consecutive Bars And You, You Are Reading Must Be Decision Up to You !!
For Backtest Show It's That For a Newbie 100$ Portfolio and 16.333$ Per Order Size
>>>> Read Me First !! <<<<<
========== Detailed and meaningful description =========
How It's Work : This Strategy are Following Green or Red Candle :: example 3 Green Candle To OpenLong Position
Can Set TP/SL if you want :: Just Fine The Best Value of Asset as you want
Fast Trend = MA FAST LINE
SLOW Trend = MA SLOW LINE
MID-TERM TREND = MA MID-TERM
LONG-TERM TREND = MA LONG-TERM
=========== Condition And Statement ===========
Long Condition Statement :: Candles Consecutive Bars Up and close > golden_line and fast_line > golden_line
Short Condition Statement :: Candles Consecutive Bars Down and close < golden_line and fast_line < golden_line
AutoCloseLong Condition :: Candles ConsecutiveBarsDownStop and close > golden_line and close < death_line and close < death_line and close < death_line or fastUpdeath
AutoCloseShort Condition :: Candles ConsecutiveBarsUpStop and close < golden_line and close > death_line and close > death_line and close > death_line or fastUpdeath
====== For ADAPTIVE you can customize your ALL MA For Your Statement
/////////For Example Hook Alert Command ////////////
Just Easy Command >> :: {{strategy.order.alert_message}}
Or Other Json You Should Edit Command Like This Example
{"ex":"'bnfuture'","side": "AutoLong", "$16.333", "symbol": "{{ticker}}", "passphrase": "1234","leverage":"10", "tp" : "5", "sl" : "2", "tl" : "2", "callback" : "1"}
{"ex":"'bnfuture'","side": "AutoShort", "$16.333", "symbol": "{{ticker}}", "passphrase": "1234","leverage":"10", "tp" : "5", "sl" : "2", "tl" : "2", "callback" : "1"}
Gold Fair Value Gap Entry(FVG GOLD)This script calculates the fair value of gold, which is set as an input parameter. It then gets the current price of gold and calculates the gap between the price and the fair value. If the gap is positive, it enters a long trade, and if it's negative, it enters a short trade.
The script also uses proper risk management techniques by setting a stop loss and take profit for each trade. The plot() function is used to display the fair value and gap on the chart.
Please note that this is just an example script, and you should customize it based on your specific trading strategy and criteria. It's also important to backtest your strategy and refine it before using it with real money.
Bollinger Bands - Breakout StrategyThe Bollinger Bands - Breakout Strategy is a trend-following optimized for short-term trading in the crypto market. This strategy employs the Bollinger Bands, a widely recognized technical indicator, as its primary instrument for pinpointing potential trades. It is capable of executing both long and short positions, depending on whether the market is in a spot or futures, and is particularly effective in trending markets.
The strategy boasts a high degree of configurability, allowing users to set the Bollinger Bands period and deviation, trend filter, volatility filter, trade direction filter, rate of change filter, and date filter. Furthermore, it offers options for Take Profit, Stop Loss, and Trailing Stop for both long and short positions, ensuring a comprehensive risk management approach. The inclusion of a maximum intraday loss feature adds another layer of protection, making this strategy a valuable tool for traders seeking a professional and adaptable trading system.
Name : Bollinger Bands - Breakout Strategy
Category : Trend Follower based on Bollinger Bands
Operating mode : Long and Short on Futures or Long on Spot
Trade duration : Intraday
Timeframe : 2H, 3H, 4H, 5H
Market : Crypto
Suggested usage : Trending Markets
Entry : When the price crosses above or below the Bollinger Bands
Exit : Opposite Cross or Profit target, Trailing stop or Stop loss
Configuration :
- Bollinger Bands period and deviation
- Trend Filter
- Volatility Filter
- Trade direction filter
- Rate of Change filter
- Date Filter (for backtesting purposes)
- Take Profit, Stop Loss and Trailing Stop for long and short positions
- Risk Management: Max Intraday Loss
Backtesting :
⁃ Exchange: BINANCE
⁃ Pair: BTCUSDT.P
⁃ Timeframe: 4H
⁃ Fee: 0.025%
⁃ Slippage: 1
- Initial Capital: 10000 USDT
- Position sizing: 10% of Equity
- Start : 2019-09-19 (Out Of Sample from 2022-12-23)
- Bar magnifier: on
Credits :
- LucF of Pine Coders for f_security function to avoid repainting using security.
- QuantNomad for Monthly Table.
Disclaimer : Risk Management is crucial, so adjust stop loss to your comfort level. A tight stop loss can help minimise potential losses. Use at your own risk.
How you or we can improve? Source code is open so share your ideas!
Leave a comment and smash the boost button!
Thanks for your attention, happy to support the TradingView community.
Simple Bollinger Bands Strategy [JoseMetal]============
ENGLISH
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- Description:
This is a simple strategy based on Bollinger Bands found in "journeymaninvestor.com" by "nealosis" in 15 feb 2021, original strategy and credits to him.
The original strategy:
- Bollinger Bands, 20 length simple moving average and 2 standard deviations.
- Buy when the closing price crosses the lower band up.
- Exit trade when the closing price touches the upper band.
This strategy worked on mayor indices such as SP500 before the current economic crisis, because those indices just retrace to continue up and up. That's why after testing it on the current data and other markets the strategy is NO longer viable and I made some optimizations to it.
The modified strategy:
- Now you can LONG and SHORT, not only LONG, but depending on the asset (mainly bullish like BTC or Indices) is better to just BUY.
- You can customize BB length and deviation, a deviation of 1.5 triggers more trades and is usually better.
- Averaging added, by default you can have up to 7 positions at 1% capital each, but all is customizable.
Other extra stuff:
- Able to pick a date range.
- Able to pick % of capital used on each trade.
- Able to close trades ON PROFIT ONLY.
- Able to increase position ONLY if the price is a certain percentage better than your average.
- Able to pick a leverage.
- Visual:
Bollinger Bands are shown.
On LONG entries you get a green background color, red for SHORTs, olive to close LONG and orange to close SHORT.
Position entries/exists with contract size are shown by TradingView by default as usual.
- Customization:
Everything is customizable, from date range to BB colors.
- Usage and recommendations:
Works better on bigger timeframes, daily is the best.
Enjoy!
============
INGLÉS
============
- Descripción:
Esta es una simple estrategia basada en las Bandas de Bollinger encontrada en "journeymaninvestor.com" por "nealosis" en el 15 de febrero de 2021, estrategia original y créditos a él.
La estrategia original:
- Bandas de Bollinger, media móvil simple de 20 y 2 desviaciones estándar.
- Comprar cuando el precio de cierre cruza la banda inferior hacia arriba.
- Salir de la posición cuando el precio de cierre toca la banda superior.
Esta estrategia funcionaba en índices mayores como el SP500 antes de la crisis económica actual, porque esos índices sólo retroceden para seguir subiendo y subiendo. Por eso después de probarla con los datos actuales y otros mercados la estrategia ya NO es viable y le hice algunas optimizaciones.
La estrategia modificada:
- Ahora puedes operar LONG y SHORT, no solo LONG, pero dependiendo del activo (principalmente alcistas como BTC o Índices) es mejor solo COMPRAR.
- Se puede personalizar la longitud de BB y la desviación, una desviación de 1,5 desencadena más operaciones y suele ser mejor.
- Promedio añadido, por defecto puedes tener hasta 7 posiciones al 1% de capital cada una, pero todo es personalizable.
Otras cosas extra:
- Posibilidad de elegir un rango de fechas.
- Posibilidad de elegir el % de capital utilizado en cada operación.
- Posibilidad de cerrar operaciones SÓLO CON BENEFICIO.
- Posibilidad de aumentar la posición sólo si el precio es un cierto porcentaje mejor que su promedio.
- Posibilidad de elegir un apalancamiento.
- Visual:
Se muestran las Bandas de Bollinger.
En las entradas de LARGO se obtiene un color de fondo verde, rojo para CORTO, oliva para cerrar LARGO y naranja para cerrar CORTO.
Las entradas/existencias de posiciones con tamaño de contrato son mostradas por TradingView por defecto como es habitual.
- Personalización:
Todo es personalizable, desde el rango de fechas hasta los colores de BB.
- Uso y recomendaciones:
Funciona mejor en marcos de tiempo más grandes, diario es el mejor.
¡Que lo disfrutes!
FRAMA & CPMA Strategy [CSM]The script is an advanced technical analysis tool specifically designed for trading in financial markets, with a particular focus on the BankNifty market. It utilizes two powerful indicators: the Fractal Adaptive Moving Average (FRAMA) and the CPMA (Conceptive Price Moving Average), which is similar to the well-known Chande Momentum Oscillator (CMO) with Center of Gravity (COG) bands.
The FRAMA is a dynamic moving average that adapts to changing market conditions, providing traders with a more precise representation of price movements. The CMO is an oscillator that measures momentum in the market, helping traders identify potential entry and exit points. The COG bands are a technical indicator used to identify potential support and resistance levels in the market.
Custom functions are included in the script to calculate the FRAMA and CSM_CPMA indicators, with the FRAMA function calculating the value of the FRAMA indicator based on user-specified parameters of length and multiplier, while the CSM_CPMA function calculates the value of the CMO with COG bands indicator based on the user-specified parameters of length and various price types.
The script also includes trailing profit and stop loss functions, which while not meeting expectations, have been backtested with a success rate of over 90%, making the script a valuable tool for traders.
Overall, the script provides traders with a comprehensive technical analysis tool for analyzing cryptocurrency markets and making informed trading decisions. Traders can improve their success rate and overall profitability by using smaller targets with trailing profit and minimizing losses. Feedback is always welcome, and the script can be improved for future use. Special thanks go to Tradingview for providing inbuilt functions that are utilized in the script.
