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MOSTIFWhat is MOSTIF ? MOSTIF is a combined trading strategies. There are indicators according to 3 different trading strategies and 7 different indicators are included. Trailing Stop and Partial Profits options are included. Indicators 1-) Improved MOST. Values can be changed according to your wishes any market but settings may vary by market. 2-) Tillson T3 Indicator. Values can be changed according to your wishes any market and activating T3 Line for confirmation. 3-) 5 Different Oscillator Types. ("CCI", "RSI", "STOCH", "MFI" and "AVERAGE") are created with special algo types.
Strategia Pine Script®
di MoneyBaron
TREND +SIDEWAYS OPTIMIZED algo signalsThis indicator will try to capture maximum trend of a stock it will keep trailing stoploss to capture maximum trend Works best in trendy markets FEATURES: Done and backtested on indian stocks. Trade session and exit session can be specified as inputs. Optional Stoploss Specially developed for intraday trading It would be good to use on normal candlesticks and time frame between (3 to 15 min) INPUTS: TRADE FREQUENCY: it can be an integer from from 1 to 5 , Frequency denotes the trading frequency, low frequency will take less number of trades and will have HIGHER risk rewads (to use lowest frequency 1 ) High freqency it will take more trades and with less profits good for scalpers , it will have low risk and low reward) Frequency requirement can be given between 1 to 5 , 1 is the lowest and 5 is the Highest frequency Sideways Bias: This is an extra filter to reduce the loss in sideways movement, Your sideways bias can be given between 0 to 3 0 if No bias on sideways 3 if biased on sideways Reduce the risk filter: This would try to bok profit quickly and begginers can use this Optional stoploss: you can define your risk in points Trade Quantity:This is quantity you want to trade on particular day, it is used to plot buy or sell quantity on chart (quantity is not taken into consideration in backtest) Trade session: Session for entries can be specified Exit session: session for exit can be specified Custom Bactesting: This is to provide backtesting results of a stock in given range of dates
Strategia Pine Script®
di psrrnath1972
8
Twin Range Filter Algo@Colinmck used two different ranges to generate signals. Read his release notes to find out what the original script does. I added one condition which seems to increase performance on 15m BTCUSD as well as 1h BTCUSD and that is ATR with 32 periods being smaller than ATR with 64 periods. I used my script Volatility Optimiser to discover this tendency. Both buying and selling conditions are same as in @Colinmck's script plus one condition of my own. You can disable my condition. Target and stop-loss are manually set values in ticks. Time stop-loss is manually set value in a number of candles. After this number of candles, a position always exits (or should 😇). You can disable it by inserting a very long period. I do not recommend it, because a value of indicator should not be measured in luck and if market starts moving in the direction after 40 periods, the predictive capability of an indicator is questionable. I used 300/150/17 for 15m BTCUSD chart and 900/30/17 for 1h BTCUSD. I didn't try to optimize any other parameters for these periods. Since this script relies mostly on volatility for its prediction, I wouldn't recommend using it on its own. Individual approach to the market is recommended. Also, it didn't work on EURUSD when using the same default values and different order management (tp, sl, time sl), so it is probably not as versatile. Let me know what do you think of this strategy. If you have some ideas about how to make it more reliable, share it in the comments, I might put it to the test. Good luck 🍀
Strategia Pine Script®
di OrcChieftain
24
BKN: Hickory Smoked StrategyThis strategy is to be used with the BKN: Hickory Smoked Indicator. This is a strategy that thrives in trending environments. We've included settings for crypto and forex and lower speed options for lower timeframes. The script offers a stop loss or trailing stop loss that will trigger when an entry is triggered. You can also choose to use it as long or short only. Pictured is the LONG only settings. You can use this strategy to backtest settings for the indicator. ***IMPORTANT*** For access, please do not comment below. Instead, send a DM here on TradingView or on my linked Twitter account.
Strategia Pine Script®
di ThePuma
4
888 BOT #backtest█ 888 BOT #backtest This is an Expert Advisor 'EA' or Automated trading script for ‘longs’ and ‘shorts’, which uses only a Take Profit or, in the worst case, a Stop Loss to close the trade. It's a much improved version of the previous ‘Repanocha’. It doesn`t use 'Trailing Stop' or 'security()' functions (although using a security function doesn`t mean that the script repaints) and all signals are confirmed, therefore the script doesn`t repaint in alert mode and is accurate in backtest mode. Apart from the previous indicators, some more and other functions have been added for Stop-Loss, re-entry and leverage. It uses 8 indicators, (many of you already know what they are, but in case there is someone new), these are the following: 1. Jurik Moving Average It's a moving average created by Mark Jurik for professionals which eliminates the 'lag' or delay of the signal. It's better than other moving averages like EMA, DEMA, AMA or T3. There are two ways to decrease noise using JMA. Increasing the 'LENGTH' parameter will cause JMA to move more slowly and therefore reduce noise at the expense of adding 'lag' The 'JMA LENGTH', 'PHASE' and 'POWER' parameters offer a way to select the optimal balance between 'lag' and over boost. Green: Bullish, Red: Bearish. 2. Range filter Created by Donovan Wall, its function is to filter or eliminate noise and to better determine the price trend in the short term. First, a uniform average price range 'SAMPLING PERIOD' is calculated for the filter base and multiplied by a specific quantity 'RANGE MULTIPLIER'. The filter is then calculated by adjusting price movements that do not exceed the specified range. Finally, the target ranges are plotted to show the prices that will trigger the filter movement. Green: Bullish, Red: Bearish. 3. Average Directional Index (ADX Classic) and (ADX Masanakamura) It's an indicator designed by Welles Wilder to measure the strength and direction of the market trend. The price movement is strong when the ADX has a positive slope and is above a certain minimum level 'ADX THRESHOLD' and for a given period 'ADX LENGTH'. The green color of the bars indicates that the trend is bullish and that the ADX is above the level established by the threshold. The red color of the bars indicates that the trend is down and that the ADX is above the threshold level. The orange color of the bars indicates that the price is not strong and will surely lateralize. You can choose between the classic option and the one created by a certain 'Masanakamura'. The main difference between the two is that in the first it uses RMA () and in the second SMA () in its calculation. 4. Parabolic SAR This indicator, also created by Welles Wilder, places points that help define a trend. The Parabolic SAR can follow the price above or below, the peculiarity that it offers is that when the price touches the indicator, it jumps to the other side of the price (if the Parabolic SAR was below the price it jumps up and vice versa) to a distance predetermined by the indicator. At this time the indicator continues to follow the price, reducing the distance with each candle until it is finally touched again by the price and the process starts again. This procedure explains the name of the indicator: the Parabolic SAR follows the price generating a characteristic parabolic shape, when the price touches it, stops and turns (SAR is the acronym for 'stop and reverse'), giving rise to a new cycle. When the points are below the price, the trend is up, while the points above the price indicate a downward trend. 5. RSI with Volume This indicator was created by LazyBear from the popular RSI. The RSI is an oscillator-type indicator used in technical analysis and also created by Welles Wilder that shows the strength of the price by comparing individual movements up or down in successive closing prices. LazyBear added a volume parameter that makes it more accurate to the market movement. A good way to use RSI is by considering the 50 'RSI CENTER LINE' centerline. When the oscillator is above, the trend is bullish and when it is below, the trend is bearish. 6. Moving Average Convergence Divergence (MACD) and (MAC-Z) It was created by Gerald Appel. Subsequently, the histogram was added to anticipate the crossing of MA. Broadly speaking, we can say that the MACD is an oscillator consisting of two moving averages that rotate around the zero line. The MACD line is the difference between a short moving average 'MACD FAST MA LENGTH' and a long moving average 'MACD SLOW MA LENGTH'. It's an indicator that allows us to have a reference on the trend of the asset on which it is operating, thus generating market entry and exit signals. We can talk about a bull market when the MACD histogram is above the zero line, along with the signal line, while we are talking about a bear market when the MACD histogram is below the zero line. There is the option of using the MAC-Z indicator created by LazyBear, which according to its author is more effective, by using the parameter VWAP (volume weighted average price) 'Z-VWAP LENGTH' together with a standard deviation 'STDEV LENGTH' in its calculation. 7. Volume Condition Volume indicates the number of participants in this war between bulls and bears, the more volume the more likely the price will move in favor of the trend. A low trading volume indicates a lower number of participants and interest in the instrument in question. Low volumes may reveal weakness behind a price movement. With this condition, those signals whose volume is less than the volume SMA for a period 'SMA VOLUME LENGTH' multiplied by a factor 'VOLUME FACTOR' are filtered. In addition, it determines the leverage used, the more volume, the more participants, the more probability that the price will move in our favor, that is, we can use more leverage. The leverage in this script is determined by how many times the volume is above the SMA line. The maximum leverage is 8. 8. Bollinger Bands This indicator was created by John Bollinger and consists of three bands that are drawn superimposed on the price evolution graph. The central band is a moving average, normally a simple moving average calculated with 20 periods is used. ('BB LENGTH' Number of periods of the moving average) The upper band is calculated by adding the value of the simple moving average X times the standard deviation of the moving average. ('BB MULTIPLIER' Number of times the standard deviation of the moving average) The lower band is calculated by subtracting the simple moving average X times the standard deviation of the moving average. the band between the upper and lower bands contains, statistically, almost 90% of the possible price variations, which means that any movement of the price outside the bands has special relevance. In practical terms, Bollinger bands behave as if they were an elastic band so that, if the price touches them, it has a high probability of bouncing. Sometimes, after the entry order is filled, the price is returned to the opposite side. If price touch the Bollinger band in the same previous conditions, another order is filled in the same direction of the position to improve the average entry price, (% MINIMUM BETTER PRICE ': Minimum price for the re-entry to be executed and that is better than the price of the previous position in a given %) in this way we give the trade a chance that the Take Profit is executed before. The downside is that the position is doubled in size. 'ACTIVATE DIVIDE TP': Divide the size of the TP in half. More probability of the trade closing but less profit. █ STOP LOSS and RISK MANAGEMENT. A good risk management is what can make your equity go up or be liquidated. The % risk is the percentage of our capital that we are willing to lose by operation. This is recommended to be between 1-5%. % Risk: (% Stop Loss x % Equity per trade x Leverage) / 100 First the strategy is calculated with Stop Loss, then the risk per operation is determined and from there, the amount per operation is calculated and not vice versa. In this script you can use a normal Stop Loss or one according to the ATR. Also activate the option to trigger it earlier if the risk percentage is reached. '% RISK ALLOWED' 'STOP LOSS CONFIRMED': The Stop Loss is only activated if the closing of the previous bar is in the loss limit condition. It's useful to prevent the SL from triggering when they do a ‘pump’ to sweep Stops and then return the price to the previous state. █ BACKTEST The objective of the Backtest is to evaluate the effectiveness of our strategy. A good Backtest is determined by some parameters such as: - RECOVERY FACTOR: It consists of dividing the 'net profit' by the 'drawdown’. An excellent trading system has a recovery factor of 10 or more; that is, it generates 10 times more net profit than drawdown. - PROFIT FACTOR: The ‘Profit Factor’ is another popular measure of system performance. It's as simple as dividing what win trades earn by what loser trades lose. If the strategy is profitable then by definition the 'Profit Factor' is going to be greater than 1. Strategies that are not profitable produce profit factors less than one. A good system has a profit factor of 2 or more. The good thing about the ‘Profit Factor’ is that it tells us what we are going to earn for each dollar we lose. A profit factor of 2.5 tells us that for every dollar we lose operating we will earn 2.5. - SHARPE: (Return system - Return without risk) / Deviation of returns. When the variations of gains and losses are very high, the deviation is very high and that leads to a very poor ‘Sharpe’ ratio. If the operations are very close to the average (little deviation) the result is a fairly high 'Sharpe' ratio. If a strategy has a 'Sharpe' ratio greater than 1 it is a good strategy. If it has a 'Sharpe' ratio greater than 2, it is excellent. If it has a ‘Sharpe’ ratio less than 1 then we don't know if it is good or bad, we have to look at other parameters. - MATHEMATICAL EXPECTATION: (% winning trades X average profit) + (% losing trades X average loss). To earn money with a Trading system, it is not necessary to win all the operations, what is really important is the final result of the operation. A Trading system has to have positive mathematical expectation as is the case with this script: ME = (0.87 x 30.74$) - (0.13 x 56.16$) = (26.74 - 7.30) = 19.44$ > 0 The game of roulette, for example, has negative mathematical expectation for the player, it can have positive winning streaks, but in the long term, if you continue playing you will end up losing, and casinos know this very well. PARAMETERS 'BACKTEST DAYS': Number of days back of historical data for the calculation of the Backtest. 'ENTRY TYPE': For '% EQUITY' if you have $ 10,000 of capital and select 7.5%, for example, your entry would be $ 750 without leverage. If you select CONTRACTS for the 'BTCUSDT' pair, for example, it would be the amount in 'Bitcoins' and if you select 'CASH' it would be the amount in $ dollars. 'QUANTITY (LEVERAGE 1X)': The amount for an entry with X1 leverage according to the previous section. 'MAXIMUM LEVERAGE': It's the maximum allowed multiplier of the quantity entered in the previous section according to the volume condition. The settings are for Bitcoin at Binance Futures (BTC: USDTPERP) in 30 minutes. For other pairs and other timeframes, the settings have to be adjusted again. And within a month, the settings will be different because we all know the market and the trend are changing. █ 888 BOT (SPANISH) Este es un Expert Advisor 'EA' o script de trading automatizado para ‘longs’ y ‘shorts’, el cual, utiliza solo un Take Profit o, en el peor de los casos, un Stop Loss para cerrar el trade. Es una versión muy mejorada del anterior ‘Repanocha’. No utiliza ‘Trailing Stop’, ni funciones ‘security()’ (aunque usar una función security no significa que el script repinte) y todas las señales son confirmadas, por consiguiente, el script no repinta en modo alertas y es preciso en en el modo backtest. Aparte de los anteriores indicadores se han añadido algunos más y otras funciones para Stop-Loss, de re-entrada y apalancamiento. Utiliza 8 indicadores, (muchos ya sabéis sobradamente lo que son, pero por si hay alguien nuevo), son los siguientes: 1. Jurik Moving Average Es una media móvil creada por Mark Jurik para profesionales la cual elimina el ‘lag’ o retardo de la señal. Es mejor que otras medias móviles como la EMA, DEMA, AMA o T3. Hay dos formas de disminuir el ruido utilizando JMA. El aumento del parámetro 'LENGTH' hará que JMA se mueva más lentamente y, por lo tanto, reducirá el ruido a expensas de añadir ‘lag’ Los parámetros 'JMA LENGTH', 'PHASE' y 'POWER' ofrecen una forma de seleccionar el equilibrio óptimo entre ‘lag’ y sobre impulso. Verde : Alcista, Rojo: Bajista. 2. Range filter Creado por Donovan Wall, su función es la de filtrar o eliminar el ruido y poder determinar mejor la tendencia del precio a corto plazo. Primero, se calcula un rango de precio promedio uniforme 'SAMPLING PERIOD' para la base del filtro y se multiplica por una cantidad específica 'RANGE MULTIPLIER'. A continuación, el filtro se calcula ajustando los movimientos de precios que no exceden el rango especificado. Por último, los rangos objetivo se trazan para mostrar los precios que activarán el movimiento del filtro. Verde : Alcista, Rojo: Bajista. 3. Average Directional Index (ADX Classic) y (ADX Masanakamura) Es un indicador diseñado por Welles Wilder para medir la fuerza y dirección de la tendencia del mercado. El movimiento del precio tiene fuerza cuando el ADX tiene pendiente positiva y está por encima de cierto nivel mínimo 'ADX THRESHOLD' y para un periodo dado 'ADX LENGTH'. El color verde de las barras indica que la tendencia es alcista y que el ADX está por encima del nivel establecido por el threshold. El color Rojo de las barras indica que la tendencia es bajista y que el ADX está por encima del nivel de threshold. El color naranja de las barras indica que el precio no tiene fuerza y seguramente lateralizará. Se puede elegir entre la opción clásica y la creada por un tal 'Masanakamura'. La diferencia principal entre los dos es que en el primero utiliza RMA() y en el segundo SMA() en su cálculo. 4. Parabolic SAR Este indicador, creado también por Welles Wilder, coloca puntos que ayudan a definir una tendencia. El Parabolic SAR puede seguir al precio por encima o por debajo, la particularidad que ofrece es que cuando el precio toca al indicador, este salta al otro lado del precio (si el Parabolic SAR estaba por debajo del precio salta arriba y viceversa) a una distancia predeterminada por el indicador. En este momento el indicador vuelve a seguir al precio, reduciendo la distancia con cada vela hasta que finalmente es tocado otra vez por el precio y se vuelve a iniciar el proceso. Este procedimiento explica el nombre del indicador: el Parabolic SAR va siguiendo al precio generando una característica forma parabólica, cuando el precio lo toca, se para y da la vuelta (SAR son las siglas en inglés de ‘stop and reverse’), dando lugar a un nuevo ciclo. Cuando los puntos están por debajo del precio, la tendencia es alcista, mientras que los puntos por encima del precio indica una tendencia bajista. 5. RSI with Volume Este indicador lo creo un tal LazyBear de TV a partir del popular RSI. El RSI es un indicador tipo oscilador utilizado en análisis técnico y creado también por Welles Wilder que muestra la fuerza del precio mediante la comparación de los movimientos individuales al alza o a la baja de los sucesivos precios de cierre. LazyBear le añadió un parámetro de volumen que lo hace más preciso al movimiento del mercado. Una buena forma de usar el RSI es teniendo en cuenta la línea central de 50 'RSI CENTER LINE'. Cuando el oscilador está por encima, la tendencia es alcista y cuando está por debajo la tendencia es bajista. 6. Moving Average Convergence Divergence (MACD) y (MAC-Z) Fue creado por Gerald Appel. Posteriormente se añadió el histograma para anticipar el cruce de medias. A grandes rasgos podemos decir que el MACD es un oscilador consistente en dos medias móviles que van girando en torno a la línea de cero. La línea del MACD no es más que la diferencia entre una media móvil corta 'MACD FAST MA LENGTH' y una media móvil larga 'MACD SLOW MA LENGTH'. Es un indicador que nos permite tener una referencia sobre la tendencia del activo sobre el cual se está operando, generando de este modo señales de entrada y salida del mercado. Podemos hablar de mercado alcista cuando el histograma del MACD se sitúe por encima de la línea cero, junto con la línea de señal, mientras que hablaremos de mercado bajista cuando el histograma MACD se situará por debajo de la línea cero. Está la opción de utilizar el indicador MAC-Z creado por LazyBear que según su autor es más eficaz, por utilizar el parámetro VWAP (precio medio ponderado por volumen) 'Z-VWAP LENGTH' junto con una desviación standard 'STDEV LENGTH' en su cálculo. 7. Volume Condition El volumen indica el número de participantes en esta guerra entre toros y osos, cuanto más volumen más probabilidad de que se mueva el precio a favor de la tendencia. Un volumen bajo de negociación indica un menor número de participantes e interés por el instrumento en cuestión. Los bajos volúmenes pueden revelar debilidad detrás de un movimiento de precios. Con esta condición se filtran aquellas señales cuyo volumen es inferior a la SMA de volumen para un periodo 'SMA VOLUME LENGTH' multiplicado por un factor 'VOLUME FACTOR'. Además, determina el apalancamiento utilizado, a más volumen, más participantes, más probabilidad de que se mueva el precio a nuestro favor, es decir, podemos utilizar más apalancamiento. El apalancamiento en este script lo determina las veces que está el volumen por encima de la línea de la SMA. El apalancamiento máximo es de 8. 8. Bollinger Bands Este indicador fue creado por John Bollinger y consiste en tres bandas que se dibujan superpuestas al gráfico de evolución del precio. La banda central es una media móvil, normalmente se emplea una media móvil simple calculada con 20 períodos. ('BB LENGTH' Número de periodos de la media móvil) La banda superior se calcula sumando al valor de la media móvil simple X veces la desviación típica de la media móvil. ('BB MULTIPLIER' Número de veces la desviación típica de la media móvil) La banda inferior de calcula restando a la media móvil simple X veces la desviación típica de la media móvil. la franja comprendida entre las bandas superior e inferior contiene, estadísticamente, casi un 90% de las posibles variaciones del precio, lo que significa que cualquier movimiento del precio fuera de las bandas tiene especial relevancia. En términos prácticos, las bandas de Bollinger se comporta como si de una banda elástica se tratara de manera que, si el precio las toca, éste tiene mucha probabilidad de rebotar. En ocasiones, después de rellenarse la orden de entrada, el precio se devuelve hacia el lado contrario. Si toca la banda de Bollinger se rellena otra orden en la misma dirección de la posición para mejorar el precio medio de entrada, (% MINIMUM BETTER PRICE': Precio mínimo para que se ejecute la re-entrada y que sea mejor que el precio de la posición anterior en un % dado) de esta manera damos una oportunidad al trade de que el Take Profit se ejecute antes. La desventaja es que se dobla el tamaño de la posición. 'ACTIVATE DIVIDE TP': Divide el tamaño del TP a la mitad. Más probabilidad de que se cierre el trade pero menos ganancias. █ STOP LOSS y RISK MANAGEMENT. Una buena gestión de las pérdidas o gestión del riesgo es lo que puede hacer que tu cuenta suba o se liquide en poco tiempo. El % de riesgo es el porcentaje de nuestro capital que estamos dispuestos a perder por operación. Este se aconseja que debe estar comprendido entre un 1-5%. % Risk = (% Stop Loss x % Equity per trade x Leverage) / 100 Primero se calcula la estrategia con Stop Loss, después se determina el riesgo por operación y a partir de ahí se calcula el monto por operación y no al revés. En este script puedes usar un Stop Loss normal o uno según el ATR. También activar la opción de que salte antes si se alcanza el porcentaje de riesgo. '% RISK ALLOWED' 'STOP LOSS CONFIRMED': Solamente se activa el Stop Loss si el cierre de la barra anterior se encuentra en la condición de límite de pérdidas. Es útil para evitar que se dispare el SL cuando hacen un ‘pump’ para barrer Stops y luego se devuelve el precio a la normalidad. █ BACKTEST El objetivo del Backtest es evaluar la eficacia de nuestra estrategia. Un buen Backtest lo determinan algunos parámetros como son: - RECOVERY FACTOR: Consiste en dividir el ‘beneficio neto’ entre el ‘drawdown’. Un excelente sistema de trading tiene un recovery factor de 10 o más; es decir, genera 10 veces más beneficio neto que drawdown. - PROFIT FACTOR: El ‘Profit Factor’ es otra medida popular del rendimiento de un sistema. Es algo tan simple como dividir lo que ganan las operaciones con ganancias entre lo que pierden las operaciones con pérdidas. Si la estrategia es rentable entonces por definición el ‘Profit Factor’ va a ser mayor que 1. Las estrategias que no son rentables producen factores de beneficio menores que uno. Un buen sistema tiene un profit factor de 2 o más. Lo bueno del ‘Profit Factor’ es que nos dice lo que vamos a ganar por cada dolar que perdemos. Un profit factor de 2.5 nos dice que por cada dolar que perdamos operando vamos a ganar 2.5. - SHARPE: (Retorno sistema – Retorno sin riesgo) / Desviación de los retornos. Cuando las variaciones de ganancias y pérdidas son muy altas, la desviación es muy elevada y eso conlleva un ratio de ‘Sharpe’ muy pobre. Si las operaciones están muy cerca de la media (poca desviación) el resultado es un ratio de ‘Sharpe’ bastante elevado. Si una estrategia tiene un ratio de ‘Sharpe’ mayor que 1 es una buena estrategia. Si tiene un ratio de ‘Sharpe’ mayor que 2, es excelente. Si tiene un ratio de ‘Sharpe’ menor que 1 entonces no sabemos si es buena o mala, hay que mirar otros parámetros. - MATHEMATICAL EXPECTATION:(% operaciones ganadoras X ganancia media) + (% operaciones perdedoras X pérdida media). Para ganar dinero con un sistema de Trading, no es necesario ganar todas las operaciones, lo verdaderamente importante es el resultado final de la operativa. Un sistema de Trading tiene que tener esperanza matemática positiva como es el caso de este script. El juego de la ruleta, por ejemplo, tiene esperanza matemática negativa para el jugador, puede tener rachas positivas de ganancias, pero a la larga, si se sigue jugando se acabará perdiendo, y esto los casinos lo saben muy bien. PARAMETROS 'BACKTEST DAYS': Número de días atrás de datos históricos para el calculo del Backtest. 'ENTRY TYPE': Para % EQUITY si tienes 10000$ de capital y seleccionas 7.5% tu entrada sería de 750$ sin apalancamiento. Si seleccionas CONTRACTS para el par BTCUSDT sería la cantidad en Bitcoins y si seleccionas CASH sería la cantidad en dólares. 'QUANTITY (LEVERAGE 1X)': La cantidad para una entrada con apalancamiento X! según el apartado anterior. 'MAXIMUM LEVERAGE': Es el máximo multiplicador permitido de la cantidad introducida en el apartado anterior según la condición de volumen. Los settings son para Bitcoin en Binance Futures (BTC:USDTPERP) en 30 minutos. Para otro pares y otras temporalidades se tienen que ajustar las opciones de nuevo. Además para dentro de un mes, los ajustes serán otros distintos ya que el mercado y la tendencia es cambiante.
Strategia Pine Script®
di UnknownUnicorn2151907
12
Profit Sniper 2.0 | BACKTESTProfit Sniper 2.0 Backtest now offering up huge improvements, including multiple position triggers, derived from Bollinger Bands and Chande Momentum as well as our own bespoke stochastic ribbons that provide trend pivots . Profit Sniper now works with regular Japanese candles, however, still provides the flexibility of Heiken Ashi settings for certain elements of the indicator, this allows the accuracy of Japanese candlestick prices, and the smooth trends of HA. Profit Sniper 2.0 has been specifically re-written for use with automation, including our own in-house trading robot known as C.A.T (Crypto Algo Trader) and as such we have chosen to remove several noisy elements of the now defunct Profit Sniper that were underused, such as the PPO and RSI variants. Another big decision was to remove the MACD from the indicator package, as invariably users preferred using the built in MACD . So how does it work? HUNT In true Sniper fashion, when our stochastic HA ribbons pivot between short and long trends, the indicator will offer up a colour coded flag the says “1. HUNT” green for long, red for short. SIGHT At this stage, the indicator is now looking for a second condition, this is displayed as “2. Sight” at this point the indicator as noticed a drop in the previous momentum, to pre-empt a flip between long and short. Red is for short, green is for Long FIRE The final condition to be met, is based on the positioning of the Bollinger Bands , which is show as the “3. Fire Flag” again, as with hunt and sight, red is for short and green is for long. User parameters allow traders to add trailing stop, toggle between percentage and USD value, as well as edit all the indicator settings in both HA and JPY Candles providing higher accuracy in the forecast rate. ** Please note, that trade execution occurs at the open of the candle after the FIRE condition is met, this means that it is likely that the back test may throw up slightly worse results than in real time trading with using CAT as CAT will execute on Bollinger moving average line in real time.
Strategia Pine Script®
di KeithWareing
2
The 100% - Bitcoin BeatsHello, Hello, Hello, And welcome back, to Bitcoin Beats. This is a strategy & Indicator that's essentially supertrend. However, we have used machine learning and AI to determine the best parameters in order to never lose money. Yes you read that correctly, this Algo has NEVER lost a trade. All trades have come through successfully based on % moves. A 'Supertrend' indicator is one, which can give you precise buy or sell signal in a trending market. ... The buy and sell signals are generated when the indicator starts plotting either on top of the closing price or below the closing price. This strategy finds the best exit point without ever having to take a loss. This means you can use Cross leverage if the risk management is good enough and not worry about your account getting REKT as the trade always comes through in the end. Trade at your own risk. Thanks you and Goodbye, From Bitcoin Beats.
Strategia Pine Script®
di Hamilton_Gilpin
20
Crypto Trading France algo indicator V1This is an experimental study which calculates WMA and MA channel crossover over a specified period or interval using custom lengh for its calculations. Some valuable tips: - MUST USED Heikin-Ashi candles - BTCUSD Bitstamp chart for longer backtest results - Longer timeframe (2h, 4h, 1D, W) are better - Moove the "Lengh - Speed" setting to adapt the strategy regarding the asset and timeframe used. For example on BTCUSD ( Bitstamp ) my favorites "Lengh - Speed" values are: 4H > 4, 6, 31 1D > 6, 16 W > 12 Tested with both Crypto & Forex, results are extremly accurate and entry are most of the time predicted in the right way. I don't necessarily recommend using this tool as a standalone, but rather as a supplement to your analysis systems. This indicator DO NOT REPAINT Hope you'll enjoy it :)
Strategia Pine Script®
di CryptoTradingFrance
1
SkyBot Strategy - BTC and XBTUSD Trading Bot for CryptoThe SkyBot is written to provide a good balance between long-term trading and short-term for more action. It has been running for over a year before it was decided to share with the public. SkyBot uses moving price action data from multiple time frames to determine when to go long or short. It also provides the user with the ability to use stop loss and take profit values to match whatever risk management rules you use in your trading. SkyBot has simple to use alerts making it simple to use with many auto-trading offers. SkyBot has been coded in the latest version of Pine (v4) and will be updated as new features, functionality, and support is released with Pine. To get access to SkyBot, please signup here: cryptoscriptking.com This is the indicator script that is intended to be used to get alerts for the purposes of automation. The strategy script is also included allowing you to do your own backtesting.
Strategia Pine Script®
di CryptoScriptKing
2-Period RSI strategy (with filter)2-period RSI strategy backtest described in several books of the trader Larry Connors . This strategy uses a 2 periods RSI , one slow arithmetic moving average and one fast arithmetic moving average. Entry signal: - RSI 2 value below oversold level (Larry Connors usually sets oversold to be below 5, but other authors prefer to work below 10 due to the higher number of signals). - Closing above the slow average (200 periods). - Entry at closing of candle or opening of next candle. Exit signal: - Occurs when the candlestick closes above the fast average (the most common fast average is 5 periods, but some traders also suggest the 10 period average). Entry Filter (modification made by me): - Applied an RSI2 arithmetic moving average to smooth out oscillations. - Entered only when RSI2 is below oversold level and RSI2 moving average is below 30. * NOTE: In the stocks that I evaluate daily the averages of 4 and 6 periods work very well as a filter. Comments: This strategy works very well in Daily charts but can be applied in other chart times as well. As this is a strategy to catch market fluctuations, it presents different results with different stocks. I have been applying this strategy to the stocks of the Brazilian market (BOVESPA) and have enjoyed the result. Every day I evaluate the stocks that are generating entry signals and choose which one to trade based on the stocks with the highest Profit Value. The RSI 2 averaging filter probably will reduce profit of the backtests because reduces the number of signals, but the Profit Value will usually increase. For me this was a good thing because without the filter, this strategy usually shows more signals than I have capital to allocate. Before entering a trade I look at which fast average the paper has the highest Profit Value and then I use this average as my output signal for that trade (this change has greatly improved the result of the outputs). This strategy does not use Stop Loss because normally Stop Loss decreases effectiveness (profit). In any case, the option to apply a percentage Stop Loss if desired is added in the script. As the strategy does not use stop, extra caution with risk management is advisable. I advise not to allocate more than 20% of the trade capital in the same operation. I'm still studying ways to improve this strategy, but so far this is the best setup I've found. Suggestions are always welcome and we can test to see if they improve the backtest result. Good luck and good trades. ================================================ Backtest das estratégia do IFR de 2 períodos descrita em varios livros do trader Larry Connors . Esta estratégia usa um IFR de 2 períodos, uma média movel aritmética lenta e uma média movel aritmética rápida. Sinal de entrada: - Valor do IFR 2 abaixo do nível de sobrevenda (Larry Connors usualmente define sobrevenda sendo abaixo de 5, mas outros autores preferem trabalhar abaixo de 10 devido ao maior número de sinais). - Fechamento acima da média lenta (200 períodos). - Realizado a compra no fechamento do candle ou na abertura do candle seguinte. Sinal de saída: - Ocorre quando o candle fecha acima da média rápida (a média rápida mais comum é a de 5 períodos, mas alguns traders sugerem também a média de 10 períodos). Filtro para entrada (modificação feita por mim): - Aplicado uma média móvel aritmética do IFR2 para suavisar as oscilações. - Realizado a entrada apenas quando o IFR2 está abaixo do nível de sobrevenda e a média móvel do IFR2 está abaixo de 30. *OBS: nos ativos que avalio diariamente as médias de 4 e 6 períodos funcionam muito bem como filtro. Comentários: Esta estratégia funciona muito bem no tempo gráfico Diário mas pode ser aplicada tambem em outros tempos gráficos. Como trata-se de uma estratégia para pegar oscilações do mercado, ela apresenta diferentes resultados com diferentes ativos. Eu venho aplicando esta estratégia nos ativos do mercado brasileiro (BOVESPA) e tenho gostado do resultado. Diariamente eu avalio os papeis que estão gerando entrada e escolho qual irei realizar o trade baseado nos papeis que apresentam maior Profit Value. O filtro da média do IFR 2 reduz o lucro nos backtests pois reduz também a quantidade de sinais, mas em compensação o Profit Value irá normalmente aumentar. Para mim isto foi algo positivo pois, sem o filtro, normalmente esta estratégia apresenta mais sinais do que possuo capital para alocar. Antes de entrar em um trade eu olho em qual média rápida o papel apresenta maior Profit Value e então eu utilizo está média como meu sinal de saída para aquele trade (esta mudança tem melhorado bastante o resultado das saídas). Está estratégia não utiliza Stop Loss pois normalmente o Stop Loss diminui a eficácia (lucro). De qualquer maneira, foi acrescentado no script a opção de aplicar um Stop Loss percentual caso seja desejado. Como a estratégia não utiliza stop é aconselhável um cuidado redobrado com o gerenciamento de risco. Eu aconselho não alocar mais de 20% do capital de trade em uma mesma operação. Ainda estou estudando formas de melhorar esta estratégia, mas até o momento está é a melhor configuração que encontrei. Sugestões são sempre bem vindas e podemos testar para verificar se melhoram o resultado do backtest. Boa sorte e bons trades.
Strategia Pine Script®
di Tomazetti
12
Matt's MACD Algo v1This script is meant to be viewed with the Heiken Ashi candlestick chart. I use it for pretty much everything. It has a lot of extra stuff just for visual reference, but the trades are based on the MACD (3,5,9) indicator. I found that speeding up the intervals of the MACD makes for a much more reactive chart. In this heavily volatile market, it has been performing well. If the market is not very volatile, it tends to have too many noisy signals. Any help or criticism would be greatly appreciated.
Strategia Pine Script®
di bodeen88
3
Support/Resistance Algo-Tradeing StrategyThis strategy Automates Support and resistance trading and a tight trailing stop loss technique. The support and resistance levels are calculated from previous highs and lows; these levels are used to make two types of trades: 1. Break out trades, taking a trade if the market is able to push through a support or resistance level. 2. Liquidity pool rejection, also known as a stop loss hunt. When the market is brought past a key level (to take out stop losses) which traders (usually institutions) use to enter, which then reverses back through the support/resistance level where the strategy enters a trade. An optional "volatility filter" may be used when on a suitable market. This means that trades are only entered when there is suitable volatility. A tight stop loss is kept so most trades lose, but winning trades are left to run much further. So this is a very reliable profitable strategy on many markets. For a limited time I will provide access to this strategy for free as it is not yet complete, there is still testing to do and I would appreciate any feedback.
Strategia Pine Script®
di JamesRkaye
24
[Simple strategy] Main-chart + Sub-chart indicator - Long onlyThis is a relative simple strategy with merely 2 indicators. The main-chart indicator defines the entry point and the sub-chart indicator defines the exit point. With the help of Heikin-Ashi candle, most of the market noise was screened off, resulting in a smooth and steady growing equity curve. In the back test report using 15 min time frame, the capital grows over 3 folds (312%) in just 4 months (31 July 2018 - 28 December 2018). Algo trader may use a smaller time frame to gain better net profit result. Note: This is a non repaint script based on the latest "Pinescript version 3" Disclaimer: All trading involves high risk; past performance is not necessarily indicative of future results. Hypothetical or simulated performance results have certain inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not actually been executed, the results may have under- or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown.
Strategia Pine Script®
di kennethgor