[Fedra Algotrading Strategy Trailing Stop]Algotrading strategy optimized for cryptocurrencies. Originally conceived to trade automatically through bots (that's how I use it), it also works to get signals and trade manually in any exchange.
It works in spot.
Buy the dip:
Attempts to buy on the dip, finding entries when the price makes abrupt dips that break deviation of the linear regression of the last periods.
Trend Detection:
Determines whether the market is in an uptrend or downtrend by crossing 2 SMAs + super trend in different temporalities. This affects the performance of the strategy. It works as a filter to avoid making entries in a downtrend. It also includes other advanced filters to find the best selling price on losses.
Break Even:
If the market enters a downtrend with an open trade, the Break Even sell is triggered, (configurable, default 1.5%). The intention is to close the trade as soon as possible, but without losses. The value of 1.5% is intended to cover commission costs and a possible spread.
Conditional SL Level: Determines a tolerance level in %, from which it is allowed to sell at a loss, while the price is above this level, the scrip will only sell at a profit.
% Trailing Stop Loss. The Stop Loss is placed a % below the price and accompanies it in the rises to make the most of an uptrend.
It allows you to easily configure the backtest period to optimize the parameters for consistent results.
The strategy calculates by default a commission of 0.1% on each trade to make the backtest more "pessimistic".
Includes advanced features for compatibility with different bots platforms in the market.
Risk management by % of equity or by maximum series of losses.
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Estrategia de Algotrading optimizada para criptomonedas. Originalmente concebida para operar de manera automática mediante bots (así la utilizo yo), funciona también para obtener señales y operar manualmente en cualquier exchange.
Funciona en spot.
Buy the dip:
Intenta comprar en el dip, encontrando entradas cuando el precio hace bajadas abruptas que rompen la desviación de la regresión lineal de los últimos periodos
Detección de Trend:
Determina si el mercado tiene una tendencia alcista o bajista mediante el cruce de 2 SMAs + super trend en distintas temporalidades. Esto afecta el funcionamiento de la estrategia. Funciona como filtro para evitar realizar entradas en una tendencia bajista. Incluye también otros filtros avanzados para encontrar el mejor precio de venta en pérdidas.
Break Even:
Si el mercado entra en tendencia bajista con una operación abierta, se activa la venta en Break Even, (configurable, por defecto 1.5%). La intención es cerrar la operación lo antes posible, pero sin pérdidas. El valor de 1.5% está pensado para cubrir los costos de comisiones y un posible spread.
Nivel de SL Condicional: Determina un nivel de tolerancia en %, a partir del cual se permite la venta en pérdidas, mientras el precio esté sobre este nivel, el scripto sólo venderá en ganancias
% Trailing Stop Loss. El Stop Loss se ubica un % debajo del precio y lo acompaña en las subidas para aprovechar al máximo un uptrend.
Permite configurar de manera muy fácil el periodo de backtest para optimizar los parámetros para resultados consistentes.
La estrategia calcula por defecto una comisión de 0.1% en cada operación para que el backtest sea más "pesimista".
Incluye funciones avanzadas para compatibilidad con diferentes plataforma de bots del mercado.
Administración de risego por % del capital o por máxima serie de pérdidas
Cari dalam skrip untuk "algo"
Algo Trading Strategy (Nifty & BankNifty)What is Algo Trading Strategy ( Nifty & Bank Nifty )?
There are many 9 to 5 working professionals who have some spare money to invest each month but they can not do active trading because they are busy with their full time job.
So they wish to have an automated system which could take and close trades for them with a proven back-tested strategy, proper money management, ability to trade within particular timings, pre-defined maximum loss they can bear and so on.
To cater needs of such type of traders, we created from scratch; and published an 'AutoTrading Algo (Nifty & Bank Nifty) in Sep 2021. (The link is given below, please read on).
Many people who want to try this AutoTrading Algo want us to share stats of this algo with them.
In order to fulfil this demand, we have converted that "Algo Trading" Study into a Strategy whose description you are reading right now.
For all other queries related to how our "Algo Trading (Nifty & Bank Nifty)" works, what are its limitations, benefits and other features, please read the description of our main 'Algo Trading (Bank Nifty & Nifty )' study which is available at following link:
Note:
1. in order to test this strategy on longer time period, you must have a Premium TradingView account.
2. If you have premium TradingView account, the stats you generate will exactly match with our stats which we keep sharing in our channel.
3. To Enable Auto-Trading, You will need to connect this Algo with your broker's trading platform through 3rd party platforms. We will guide you on how to do this, when you contact us.
Swing Algo V1.4◆ Introduction
The latest version of the Swing Algo features a complementary system consisting of two internal swing trading logics: an enhanced Swing Algo V1.3 and a secondary control engine to stabilize the overall strategy behaviour in times of increased market chop. Both algorithms feature different averaging lines as well as oscillators, leading to a higher strategy diversification for swing trading as well as a reduced maximum drawdown in comparison to each stand-alone strategy.
While the Swing Algo V1.x series so far featured a single trend-following swing algorithm for each release, where one just switches between Long and Short trades based on one general logic, here two strategies, which act independently of each other, are applied. Due to this, we introduce a third position a trader can be in: the Hedge. The overall logic is as follows:
When both sub-logics are Long, the overall strategy is Long.
When both sub-logics are Short, the overall strategy is Short.
When one sub-logic is Long and the other is Short, the overall strategy is in a Hedge position. It doesn't matter which component is Short and which is Long.
As PineScript doesn't currently offer a real steady hedging-function for two competing swing trading sub-logics (in the sense of a continuously applied Hedge state after hedging conditions are met at least once for an entry), a workaround via position closes was created for this release. For each new internal sub-signal, the overall strategy changes its state (Long/Short/Hedge) visibly on the chart, and the trader can adjust their position accordingly.
For detailed differences to previous Swing Algo V1.x releases, see further below.
◆ Purpose of this Script
This indicator will give Long, Short and Hedge signals on the chart that can be used for e.g. swing trading. Each of the aforementioned sub-logics uses a combination of several (custom) functions and rules to find good entry points for trend trading. After many iterations and tests I came up with this particular setup, which is highly optimized for the ETH/USD trading pair on the daily (D) timeframe.
Attention was also paid to stability, as all parameters are set onto plateaus, so that smaller changes in the characteristic price action should not affect the efficiancy too much, done as an attempt to reduce overfitting as much as possible. Additionally this dual algorithm system is specifically designed to have a safety net: should for the unlikely scenario one swing trading algorithm not trigger at a certain mid-term reversal point, the probability is high that the other will trigger, resulting in an overall hedged position (so that no money is lost in the meantime) until the first algorithm can rejoin at the next mid-term trend change.
For other assets and/or timeframes it is in principle possible to change algorithmic parameters within the indicator settings to tune the swing algorithms, though it is strongly recommended to use the standard asset and timeframe mentioned above.
◆ Viability
For the here presented backtest data, we omitted the biggest portion of the cryptocurrency bullrun in 2017 (starting only at 1st July 2017) so that the results become more realistic for long-term swing traders (investing at least 2-4 years into trading) if such large runs do not happen again. As cryptocurrencies like Ethereum are still to this date capable of doing comparatively smaller runs of about 2-3x in a few weeks/months during accumulation phases (as witnessed e.g. in 2020 and more recently in 2023) and bigger runs during bullmarkets (as witnessed in 2021), the quality of the shown results is still realistic for long-term trend trading efforts over several years, Note that very conservative trading parameters as mentioned below in "Forwardtesting and Backtesting" are used here.
Generally do not expect results in a matter of days or weeks, and of course as with any trading strategy past performances are not indicative of future results.
◆ Forwardtesting and Backtesting
The individual components have been back- and partially forwardtested: The first sub-logic is an advancement of Swing Algo V1.3, with which we have extensive experience running back to October 2020 for its release, while the secondary control strategy, which was privately published for DeanTrader members as a stand-alone script on TradingView in June 2022 and was running in the background since then, is showing good & expected behaviour so far.
While this does not mean that fowardtesting was performed specifically for the combined Swing Algo V1.4 system we have now (which cannot be done realistically considering the timeframes used, i.e. months and especially years), we can at least look at some considerable experience with the individual components. Then again, as I have implemented an exact hedging-function so that both sub-algorithms run independently from each other, it is not likely to see any unexpected behaviour resulting purely from the combination into one script.
For strategy backtesting you can choose the backtest time interval to test the performance of this algorithm for different time windows and different trading pairs. Here various backtesting parameters (e.g. trading fees) can be customized. Default settings for the shown backtest are a starting balance of $1000, a slippage of 20 ticks (= $0.20) and a trading fee of 0.05 % (which is the worst taker fee on the Kraken Pro futures exchange) to have realistic settings. However as we do not conduct many trades with this strategy, fees should not impact our performance too much. As long-term swing traders, we at DeanTrader generally devote one initial portion of our portfolio to swing trading and from then on always use 100% of this portion for the next trade to get the compounding starting. This is in difference to other trading styles which use various, often very small, percentage values for their short- or mid-term trades. Please note that for the here presented backtest only 10% of compounded equity is used for each successive trade to show an estimation for a lower risk & lower reward approach . Keep this in mind when evaluating the backtest data. You can set appropriate values for each backtest parameter in the "Properties" setting menu of the strategy, including the order size percentage of equity value for your trades. Also note that due to the small number of trades the statistical significance is low. It is not possible to gather an abundance of long-term trend signals in the order of hundreds or thousands trades, as much more time would have to pass for this in the case of rather new assets like Ethereum.
Additionally to the TradingView Strategy Tester you can also plot your equity directly on the chart to get a sense for the performance. For this you can also scale the equity graph to e.g. match the starting point of your equity with some price point on the chart to get a direct comparison to 'Buy & Hold' strategies over time.
This indicator (and all other content I provide) is no financial advice. If you use this indicator you agree to my Terms and Conditions which can be found on my website linked on my TradingView profile or in my signature.
◆ Visual Representation on the Chart
Shown below is a screenshot of how the chart looks like when the strategy is applied. Here we can see two different averaging lines, where each line belongs to one of the two sub-logics respectively. Note that this is not a MA-crossover strategy, and the crossing of the lines is not accounted for in the code at all and therefore has no effect on the strategy's signal output. Also note that the price scale is set on logarithmic.
The space between the lines is filled with a faint background color as a rough visual indicator. Magenta-colored fills indicate zones where only Short or Hedge signals can appear, while green-colored fills indicate zones where only Long or Hedge signals can appear. Gray-colored fills mark zones where only Hedge signals can appear, which also means that Hedge signals can appear in any zone. So treat those background fills more as a visual aid to roughly know what can happen next, but pay most attention to the actual signals (with arrows) that appear on the chart.
◆ Differences to Other Versions
Consists now of two competing sub-algorithms instead of just one algorithm. The new system outputs Long, Short and Hedge signals instead of just Long and Short signals.
The first sub-logic is the spiritual successor of the original Swing Algo V1.3 release, with a modified oscillator part.
The second sub-logic serves as a control algorithm (while still having equal rights in terms of strategy impact), newly introduced to the Swing Algo series, but already forwardtested for roughly a year at time of release.
Lowers risk significantly by diversifying swing trading strategies, so that for the rare scenario of a missed trend on one sub-algorithm, losses are prevented as the overall strategy is hedged during that time.
Lowers risk further as the maximum drawdown of the combined strategy is reduced by roughly 1/3 in comparison to each stand-alone strategy while almost retaining the same net profit over a 6-year backtest compared to the first, leading sub-logic.
No guesswork anymore when to use which short leverage (1x corresponding to a Hedge, or 2x corresponding to a Short with an asset-value-change-to-gain-proportionality of -1) as it is clearly defined within the trading system via the displayed signals. In earlier Swing Algo versions, the short leverage for any particular Short signal had to be chosen by hand dependent on market sentiment, which required further market analysis, or was fixed at 2x, leading to less flexibility.
◆ Access
For access please contact me via DM on TradingView or via other channels (linked on my TradingView profile and in my signature).
Swing Algo V1.2The next upgrade in the 'Swing Algo V1.x' series, and the go-to algorithm for trading ETH (until further notice). For differences to other versions, see below.
This indicator can be used for e.g. swing algorithmic trading. It will give Buy/Long and Sell/Short signals on the chart. This algorithm uses a combination of several (custom) functions and rules to find good entry points for trend trading. After many iterations and tests I came up with this particular setup, which is highly optimized for the ETH/USD trading pair on the daily (D) timeframe. Attention was also paid to stability, as all parameters are set onto plateaus, so that smaller changes in the characteristic price action should not affect the efficiancy too much. For other assets and/or timeframes it is however possible to change algorithmic parameters within the indicator settings to tune this swing algorithm. You don't need any programming skills or similar abilities to navigate this indicator.
For the here presented backtest data, we omitted the biggest portion of the cryptocurrency bullrun in 2017 (starting only at 1st July 2017) so that the results become more realistic for long-term swing traders (investing at least 2-3 years into trading) if such large runs do not happen again. As cryptocurrencies like Ethereum are still to this date capable of doing comparatively smaller runs of about 2-3x in a few weeks/months (as witnessed in 2020), the order of magnitude of the shown results is still realistic for long-term trend trading efforts. Do not expect these results in a matter of days or weeks, and of course as with any trading strategy past performances are not indicative of future results.
Within this indicator you can choose the backtest time interval to test the perfomance of this algorithm for different time windows and different trading pairs. Here various backtesting parameters (e.g. trading fees) can be customized. Default settings for the shown backtest are a starting balance of $1000, a slippage of 2 ticks (= $0.02) and a trading fee of 0.26 % (which is the worst taker fee on the Kraken exchange) to have realistic settings. However as we do not conduct many trades with this strategy, fees should not impact our performance too much. As long-term swing traders, we devote one initial portion of our portfolio to swing trading and from then on always use 100% of this portion for the next trade to get the compounding starting. This is in difference to other trading styles which use various, often very small, percentage values for their short- or mid-term trades. Keep this in mind when evaluating the backtest data. Also note that due to the small number of trades the statistical significance is low. It is not possible to gather an abundance of long-term trend signals in the order of hundreds or thousands trades, as much more time would have to pass for this in the case of rather new assets like Ethereum.
Additionally to the TradingView Strategy Tester you can also plot your equity directly on the chart to get a sense for the performance. For this you can also scale the equity graph to e.g. match the starting point of your equity with some price point on the chart to get a direct comparison to 'Buy & Hold' strategies over time.
This indicator (and all other content I provide) is no financial advice. If you use this indicator you agree to my Terms and Conditions which can be found on my Twitter profile linked on my TradingView profile or in my signature.
Differences to other versions:
- Changed from a dual (V1, V1.1) to a single smoothing function system (V1.2, V1.3), which can react better to more sudden price movements that got prevalent during the current end-phase of the stock bullmarket due to correlations, while still handling 'normal' price action well
- Changed the oscillator part of the algorithm with a better suited one (at least) for the ETH/USD trading pair, handling chop better.
- Improved net profits by potentially +100% in comparison to V1 for ETH/USD on daily timeframe
- However for other assets (e.g. BTC and smaller coins like XTZ and ALGO) and timeframes V1 might perform better than V1.2 due to somewhat different characteristic price action. I leave you with all options to play so that you can find the best solution for a given trading pair.
- There's also an upgrade called Swing Algo V1.3, which works similar to V1.2, but reduces losses due to chop even further. Because V1.2 is a bit more flexible, it is, however, considered the go-to algo for the time being.
For access please contact me via DM on TradingView or on Twitter (linked on my TradingView profile and my signature). People who purchased access to any 'Swing Algo 1.x' get access to all other 'Swing Algo V1.x' indicators automatically ('Swing Algo V1' counts as 'Swing Algo V1.0').
Swing Algo V1.3An upgrade of Swing Algo V1.2 to reduce chop heavily, used for trading ETH. For differences to other versions, see below.
This indicator can be used for e.g. swing algorithmic trading. It will give Buy/Long and Sell/Short signals on the chart. This algorithm uses a combination of several (custom) functions and rules to find good entry points for trend trading. After many iterations and tests I came up with this particular setup, which is highly optimized for the ETH/USD trading pair on the daily (D) timeframe. Attention was also paid to stability, as all parameters are set onto plateaus, so that smaller changes in the characteristic price action should not affect the efficiancy too much. For other assets and/or timeframes it is however possible to change algorithmic parameters within the indicator settings to tune this swing algorithm. You don't need any programming skills or similar abilities to navigate this indicator.
For the here presented backtest data, we omitted the biggest portion of the cryptocurrency bullrun in 2017 (starting only at 1st July 2017) so that the results become more realistic for long-term swing traders (investing at least 2-3 years into trading) if such large runs do not happen again. As cryptocurrencies like Ethereum are still to this date capable of doing comparatively smaller runs of about 2-3x in a few weeks/months (as witnessed in 2020), the order of magnitude of the shown results is still realistic for long-term trend trading efforts. Do not expect these results in a matter of days or weeks, and of course as with any trading strategy past performances are not indicative of future results.
Within this indicator you can choose the backtest time interval to test the perfomance of this algorithm for different time windows and different trading pairs. Here various backtesting parameters (e.g. trading fees) can be customized. Default settings for the shown backtest are a starting balance of $1000, a slippage of 2 ticks (= $0.02) and a trading fee of 0.26 % (which is the worst taker fee on the Kraken exchange) to have realistic settings. However as we do not conduct many trades with this strategy, fees should not impact our performance too much. As long-term swing traders, we devote one initial portion of our portfolio to swing trading and from then on always use 100% of this portion for the next trade to get the compounding starting. This is in difference to other trading styles which use various, often very small, percentage values for their short- or mid-term trades. Keep this in mind when evaluating the backtest data. Also note that due to the small number of trades the statistical significance is low. It is not possible to gather an abundance of long-term trend signals in the order of hundreds or thousands trades, as much more time would have to pass for this in the case of rather new assets like Ethereum.
Additionally to the TradingView Strategy Tester you can also plot your equity directly on the chart to get a sense for the performance. For this you can also scale the equity graph to e.g. match the starting point of your equity with some price point on the chart to get a direct comparison to 'Buy & Hold' strategies over time.
This indicator (and all other content I provide) is no financial advice. If you use this indicator you agree to my Terms and Conditions which can be found on my Twitter profile linked on my TradingView profile or in my signature.
Differences to other versions:
- Changed from a dual (V1, V1.1) to a single smoothing function system (V1.2, V1.3), which can react better to more sudden price movements that got prevalent during the current end-phase of the stock bullmarket due to correlations, while still handling 'normal' price action well
- Changed the oscillator part of the algorithm again with one that handles chop for the ETH/USD trading pair extremely well.
- Improved net profits by potentially +100% in comparison to V1 for ETH/USD on daily timeframe
- However for other assets (e.g. BTC and smaller coins like XTZ and ALGO) and timeframes V1 might perform better than V1.3 due to somewhat different characteristic price action. I leave you with all options to play so that you can find the best solution for a given trading pair.
- There's also a previous version called Swing Algo V1.2 considered the go-to algo at the moment, which works similar to V1.3, but operates a bit less tight, leading to more flexibility while suppressing chop not as much as V1.3.
For access please contact me via DM on TradingView or on Twitter (linked on my TradingView profile and my signature). People who purchased access to any 'Swing Algo 1.x' get access to all other 'Swing Algo V1.x' indicators automatically ('Swing Algo V1' counts as 'Swing Algo V1.0').
Swing Algo V1.1Here I present an upgrade to 'Swing Algo V1'. For differences to V1, see below.
This indicator can be used for e.g. swing algorithmic trading. It will give Buy/Long and Sell/Short signals on the chart. This algorithm uses a combination of several (custom) functions and rules to find good entry points for trend trading. After many iterations and tests I came up with this particular setup, which is highly optimized for the $ETH/$USD trading pair on the daily (D) timeframe. It is however possible to change algorithmic parameters within the indicator settings to tune this swing algorithm for other assets and timeframes. You don't need any programming skills or similar abilities to navigate this indicator.
Also you can choose the backtest time interval to test the perfomance of this algorithm for different time windows and different trading pairs. Here various backtesting parameters (e.g. trading fees) can be customized. Additionally to the TradingView Strategy Tester you can also plot your equity directly on the chart to get a sense for the performance. For this you can also scale the equity graph to e.g. match the starting point of your equity with some price point on the chart to get a direct comparison to 'Buy & Hold' strategies over time.
Note: In general it seems that cryptocurrencies are rather swing-algorithm-friendly, while I cannot recommend trading classical assets like stock or indices (e.g. S&P 500) with this indicator (although you can of course try to find good setups).
This indicator (and all other content I provide) is no financial advice. If you use this indicator you agree to my Terms and Conditions which can be found on my Twitter profile linked on my TradingView profile or in my signature.
Differences to Swing Algo V1:
- Changed the oscillator part of the algorithm with a better suited one (at least) for the ETH/USD trading pair.
- Improved net profits by roughly 20% in comparison to V1 for ETH/USD on daily timeframe
- Reduced Max. Drawdown by roughly 1/4 in comparison to V1 for ETH/USD on daily timeframe
- However for other assets and timeframes V1 might perform better than V1.1. I leave you with both options to play so that you can find the best solution for a given trading pair.
For access please contact me via DM on TradingView or on Twitter (linked on my TradingView profile and my signature). People who purchased access to any 'Swing Algo 1.x' get access to all other 'Swing Algo V1.x' indicators automatically ('Swing Algo V1' counts as 'Swing Algo V1.0').
Statistical Correlation Algorithm - The Quant ScienceStatistical Correlation Algorithm - The Quant Science™ is a quantitative trading algorithm.
ALGORITHM DESCRIPTION
This algorithm analyses the correlation ratios between two assets. The main asset (on the chart), and the secondary asset (set by the user). Then apply the long or short trading strategy.
The algorithm divides trading work into three parts:
1. Correlation analysis
2. Long or short entry
3. Closing trades
Inside the strategy: the algorithm analyses the percentage change yields from a previous session, of the secondary asset. If the variation meets the set condition then it will open a long or short position, on the primary asset. The open position is closed after 'x' number of sessions. Stop loss and take profit can be added to the trade exit parameters.
Logic: analyses the correlation between two assets and looks for a statistical advantage within the correlation.
INDICATOR DESCRIPTION
The algorithm includes a quantitative indicator. This indicator is used for correlation analysis and offers a quick reading of the quantitative data. The blue area shows the correlation ratio values. The yellow histograms show the percentage change in the yields of the main asset. Purple histograms show the percentage change in secondary asset yields.
GENERAL FEATURES
Multi time-frame: the user can set any time-frame for the secondary asset.
Multi asset: the user analyses the conditions on a second asset.
Multi-strategy: the algorithm can apply either the long strategy or the short strategy.
Built-in alerts: the algorithm contains alerts that can be customized from the user interface.
Integrated indicator: the quantity indicator is included.
Backtesting included: automatic backtesting of the strategy is generated based on the values set.
Auto-trading compliant: functions for auto trading are included.
USER INTERFACE SETTINGS
Through the intuitive user interface, you can manage all the parameters of this algorithm without any programming experience. The user interface is extremely descriptive and contains all the information needed to understand the logic of the algorithm and to configure it correctly.
1. Date range: through this function you can adjust the analysis and working period of the algorithm.
2. Asset: through this function you can adjust the secondary asset and its time-frame. You can enter any type of asset, even indices and economic indicators.
3. Asset details: this function is used to adjust the percentage change to be analyzed on the secondary asset. The analysis and input conditions are also chosen.
4. Active long or short strategy: this function is used to set the type of strategy to be used, long or short.
5. Setting algo trading alert: with this function, users can manage alerts for their web-hook.
6. Exit&Money management: with this function the user can adjust the exit periods of each trade and activate or deactivate any stop losses and take profits.
7. Data Value Analysis: this function is used to adjust the parameters for the quantity indicator.
OnePunch Algo Momentum Indicator V1This is another Plugin from One Punch Algo Team. We call it OnePunch Algo Momentum Indicator V1.
Basic Use:
One Punch Algo Momentum Indicator plugin is used for momentum stocks and high volatility crypto. It provide signals based on Simple Moving Average, Volume, Support & Resistance Lines.
SIGNALS/ALERTS
Buy Signal: Purple Color uptrend icon gives you a signal of an up-trending movement or we call it momentum movement. This signal basically happen when a stock land in a high volatility zone. We use in-build systems such as SMA, Support and Resistance and Trends to come up with the Buy Signal.
Sell Signal: Gray Color downtrend icon gives you a signal of a downtrend movement.
Other Lines Shown in the Diagram:
Red Line is the 200 Day Simple Moving Average (SMA)
Green Line is the 50 Day Simple Moving Average (SMA)
Strategy Tester
Always make sure to use the strategy tester to test how historically our Algo has performed in different time frames. One Punch Algo Momentum Indicator provide the ability to backtest based on certain time periods. This allows you to backtest our Algo vs some other Algo to find which performed well for the given time period, you if you want to see buy and hold performance better than the use of an Algo. This is a strong tool to use for your analysis of a stock or crypto.
What are the timeframes where it is most effective?
Different Stocks or Crypto perform differently with One Punch Algo Momentum Indicator. Please make sure to backtest a stock or crypto before you use the strategy.
Short Term/Day Trading Setup
For Short Term or Day Trade: 1min, 5min, 15min & 30min candlesticks works really well.
Also 3min, 5min, 7min and 15min works as well
Mid Term Trading Setup
For Mid-term traders: 30min, 1hr,2hr, and 4hr setup works really well.
For Long Term Trading Setup
For long term traders: 4hr, 1D, 1Week and 1Month Setup works well.
Best used with Heikin Ashi or Candlestick charts.
DISCLAIMER: Stocks and options trading involves substantial RISK of LOSS and is NOT suitable for every investor. The valuation of stocks and options may fluctuate, and, as a result, clients may lose more than their original investment. If the market moves against you, you may sustain a total loss greater than the amount you deposited into your account. You are responsible for all the risks and financial resources you use and for the chosen trading system. You should not engage in trading unless you fully understand the nature of the transactions you are entering into and the extent of your exposure to loss. If you do not fully understand these risks, you must seek independent advice from your financial advisor.
All trading strategies are used at your own risk. And OnePunch ALGO Developer, Youtuber or the channel does NOT take any responsibility for your losses using any of the advice or suggestions or strategies are shown/said in any of OnePunch ALGO Youtuber or the channel videos.
Swing Algo V1This indicator can be used for e.g. swing algorithmic trading. It will give Buy/Long and Sell/Short signals on the chart. This algorithm uses a combination of several (custom) functions and rules to find good entry points for trend trading. After many iterations and tests I came up with this particular setup, which is highly optimized for the $ETH/$USD trading pair on the daily (D) timeframe. It is however possible to change algorithmic parameters within the indicator settings to tune this swing algorithm for other assets and timeframes. You don't need any programming skills or similar abilities to navigate this indicator.
Also you can choose the backtest time interval to test the perfomance of this algorithm for different time windows and different trading pairs. Here various backtesting parameters (e.g. trading fees) can be customized. Additionally to the TradingView Strategy Tester you can also plot your equity directly on the chart to get a sense for the performance. For this you can also scale the equity graph to e.g. match the starting point of your equity with some price point on the chart to get a direct comparison to 'Buy & Hold' strategies over time.
Note: In general it seems that cryptocurrencies are rather swing-algorithm-friendly, while I cannot recommend trading classical assets like stock or indices (e.g. S&P 500) with this indicator (although you can of course try to find good setups).
This indicator (and all other content I provide) is no financial advice. If you use this indicator you agree to my Terms and Conditions which can be found on my twitter profile linked in my signature.
TUE Argentum Algo V1This algorithm is designed to look trend for opening conditions, apply various filters including volume and volatility, then determine stop outs, break evens, and take profits.
The algorithm uses proprietary math based on the concepts of volatility, standard deviations, average true ranges, and volume to help determine trend. You can filter based on cumulative volume delta, volatility, and moving average based trend. It includes settings for either trend following or contrarian trades, and the ability to go long, short, or both.
The take profit areas are based on proprietary math that help find peaks and valleys. You can adjust the size of the take profits as a percentage of the position, change to static take profits (i.e. take profit in 16 ticks), or use both. You can also disable them and use the natural closing conditions of the trades (detection of trend change in the opposite direction).
Our algo works in any market and will allow user to adjust input settings to be used on any ticker they'd like. It is built as a strategy so you can back test on any ticker to find the exact right settings to dial it in and then switch to live trading mode to see signals. Can be used for day trades or swing trades.
Automated Trading
This algo has been tested and certified to work for automated trading.
Works on Forex
It's confirmed to work on forex so you can trade that market.
Gets you into long successful trades, and gets out of poor ones quickly
It keeps you in the long trades taking small profits along the way, but cuts losers quickly in comparison. This style leads to a high profit factor.
It looks at many variables so you don't have to
- Uses trend analysis for opening/closing conditions.
- It measures the strength of trends to help determine if it should enter or not.
- It uses volume, if the user wants, to help filter entries. The volume calculation is based off of my proprietary cumulative volume delta indicator and helps find if the volume is moving long or short.
- It uses proprietary take profit math to help find peaks and valleys to peel off profits. It is based on the changes in momentum of the underlying.
- It allows for stop outs and break evens based on volatility so they'll always adjust with the movement of the underlying ticker (see the blue lines above and below the opening in the chart).
- It allows for offset break evens to keep a portion of the profit.
Strategy for the Algo
Included so you can understand how to trade with it.
ONE: After loading this strategy onto a ticker turn off volume if it's a ticker with no volume , set the dates at the bottom to when the stock is active (you want to start backtesting when a stock started trading like it trades currently).
TWO: From there adjust the short term trend settings to find the highest win rate and profit factor.
THREE: Then adjust the volume length to find the highest win rate and profit factor. It's important while doing these that you pay attention to a smooth upward equity curve.
FOUR: After this has been done now adjust the long and short risk multipliers. This determines your stop out.
FIVE: Then adjust breakeven multipliers - this is the level at which it changes to a breakeven stop out instead of the previous one. You can also set an offset to keep a small part of the profit.
SIX: Finally adjust the take profit sizes.
SEVEN: Once this is all done go back through the list and adjust up and down by one or two clicks and see if a better curve can be obtained. Very frequently long and short trades have different settings.
EIGHT: When you are finished save the settings in a custom indicator template and put it with it's own chart.
Additional
The settings shown on screen are not the default settings, but are settings chosen for this ticker and timeframe based on the process above. Nearly every ticker and timeframe will require adjustment from default, that's why the algorithm is built to be highly flexible. It can fit any ticker and timeframe, as well as market environment.
This particular setup has the algo running a scalping program on ES 3 min with a 16 tick static target. This algorithm can be set up as a scalper, or used to day trade more regularly. It can also swing trade.
As shown here the algo includes $1.25 of commissions and 1 tick of slippage on all orders (about our average for automated trading on ES).
AT_MR-15m-ALGO Strategy IndicatorsThis strategy includes systems based on the return-to-mean method.
It creates BUY-SELL signals by getting approval from volatility, trend, momentum, volume, incompatibility and artificial intelligence formations in the system.
Unaffected by Pump and Dump (extreme spikes and dips). In some cases, it can turn this into an opportunity.
Our loss rates in transactions are minimized by algorithms. In other words, it has minimized the loss rates in the position with the stop loss systems and artificial intelligence in it.
IMPORTANT NOTE:
1-) In order for our indicator to be used efficiently, it is necessary to optimize its parameters on a monthly basis. It is offered to you by optimizing regularly by our technical team every month so that it can work efficiently in variable market conditions. Non-optimized systems do not work efficiently in new market conditions.
2-) Strategy should definitely be used on 15-minute charts. Otherwise, it will lead to losses!!!
Turkish Information:
Bu strateji ortalamaya geri dönüş metodu üzerine kurulmuş sistemleri içerir.
Sistem içerisindeki volatilite, trend, momentum, hacim, uyumsuzluk ve yapay zeka formasyonlarından onay alarak AL-SAT sinyallerini oluşturur.
Pump ve Dump(aşırı ani yükselişler ve düşüşler) durumlarından etkilenmez. Bazı durumlarda bunu fırsata çevirebilir.
İşlemlerdeki zarar oranlarımız algoritmalar tarafından minimize edilir. Yani, içerisinde bulunan zarar durdurma sistemleri ve yapay zeka ile pozisyondaki zarar oranlarını minimuma indirmiştir.
ÖNEMLİ NOT:
1-) İndikatörümüzün verimli bir şekilde kullanılabilmesi için her ay düzenli bir şekilde parametrelerinin optimizasyonunun yapılması gerekiyor. Değişken piyasa koşularında verimli çalışabilmesi için her ay düzenli olarak teknik ekibimiz tarafından optimizasyonu yapılarak sizlere sunulmaktadır. Optimize olmayan sistemler yeni piyasa koşullarında verimli çalışmazlar.
2-) Strateji kesinlikle 15 dakikalık grafiklerde kullanılmalıdır. Aksi taktirde kayıplara yol açacaktır!!!
hamster-bot RSI AlgoThis is a simple RSI based signal indicator. It is designed for algorithmic bot trading.
For best results, leave a time-frame of at least 1 hour.
When the RSI reaches 70, it gives a buy signal, and when the RSI reaches 30, it gives a sell signal. The position is then maintained until the opposite signal is given. If backtesting shows poor results, but looks like the opposite would be good, there is a simple switch in the settings to turn it over.
original indicator on the basis of which the strategy is made:
Hulk Grid Algorithm V2 - The Quant ScienceIt's the latest proprietary grid algorithm developed by our team. This software represents a clearer and more comprehensive modernization of the deprecated Hulk Grid Algorithm. In this new release, we have optimized the source code architecture and investment logic, which we will describe in detail below.
Overview
Hulk Grid Algorithm V2 is designed to optimize returns in sideways market conditions. In this scenario, the algorithm divides purchases with long orders at each level of the grid. Unlike a typical grid algorithm, this version applies an anti-martingale model to mitigate volatility and optimize the average entry price. Starting from the lower level, the purchase quantity is increased at each new subsequent level until reaching the upper level. The initial quantity of the first order is fixed at 0.50% of the initial capital. With each new order, the initial quantity is multiplied by a value equal to the current grid level (where 1 is the lower level and 10 is the upper level).
Example: Let's say we have an initial capital of $10,000. The initial capital for the first order would be $50 * 1 = $50, for the second order $50 * 2 = $100, for the third order $50 * 3 = $150, and so on until reaching the upper level.
All previously opened orders are closed using a percentage-based stop-loss and take-profit, calculated based on the extremes of the grid.
Set Up
As mentioned earlier, the user's goal is to analyze this strategy in markets with a lack of trend, also known as sideways markets. After identifying a price range within which the asset tends to move, the user can choose to create the grid by placing the starting price at the center of the range. This way, they can consider trading the asset, if the backtesting generates a return greater than the Buy & Hold return.
Grid Configuration
To create the grid, it's sufficient to choose the starting price during the launch phase. This level will be the center of the grid from which the upper and lower levels will be calculated. The grid levels are computed using an arithmetic method, adding and subtracting a configurable fixed amount from the user interface (Grid Step $).
Example: Let's imagine choosing 1000 as the starting price and 50 as the Grid Step ($). The upper levels will be 1000, 1050, 1100, 1150, 1200. The lower levels will be 950, 900, 850, 800, and 750.
Markets
This software can be used in all markets: stocks, indices, commodities, cryptocurrencies, ETFs, Forex, etc.
Application
With this backtesting software, is possible to analyze the strategy and search for markets where it can generate better performance than Buy & Hold returns. There are no alerts or automatic investment mechanisms, and currently, the strategy can only be executed manually.
Design
Is possible to modify the grid style and customize colors by accessing the Properties section of the user interface.
TUE ADX/MACD Confluence Algorithm V1This algorithm is designed to look at the ADX/MACD confluence for opening conditions, apply various filters including volume and volatility, then determine stop outs, break evens, and take profits.
The ADX and MACD confluence can be a powerful predictor in stock movements. Both of these indicators find trend but do it in different ways. When they're combined they have a high success rate of finding openings. That's done by finding the bar in which both show the same direction - that bar is the beginning of the confluence. I have a free indicator called the TUE ADX/MACD Confluence that you can use to see this in action.
This script will help you find those confluences in an easy to understand manner. It will open a trade on a detected confluence, using the rest of the variables available in the algorithm as filters. You can filter based on cumulative volume delta, volatility, and trend. It includes settings for either trend following or contrarian trades, and the ability to go long, short, or both.
It includes Buy and Sell signals for detected confluences, and will show colored candles to help you determine when to exit a trade if you don't want to follow the included take profit areas. When the candles turn to white that means the detected confluence is no longer in play. The Buy and Sell signals will display on the first occurrence of each confluence.
The take profit areas are based on proprietary math that help find peaks and valleys. You can adjust the size of the take profits as a percentage of the position, change to static take profits (i.e. take profit in 16 ticks), or use both. You can also disable them and use the natural closing conditions (reversal of MACD/ADX confluence).
Our algo works in any market and will allow user to adjust input settings to be used on any ticker they'd like. It is built as a strategy so you can back test on any ticker to find the exact right settings to dial it in and then switch to live trading mode to see signals. Can be used for day trades or swing trades.
Automated Trading
This algo has been tested and certified to work for automated trading.
Works on Forex
It's confirmed to work on forex so you can trade that market.
Gets you into long successful trades, and gets out of poor ones quickly
It keeps you in the long trades taking small profits along the way, but cuts losers quickly in comparison. This style leads to a high profit factor, as you can see over 3.0 in the included ES 3 Min chart.
It looks at many variables so you don't have to
- Uses ADX/MACD confluence for opening/closing conditions.
- It uses volume, if the user wants, to help filter entries. The volume calculation is based off of my proprietary cumulative volume delta indicator and helps find if the volume is moving long or short.
- It uses proprietary take profit math to help find peaks and valleys to peel off profits. It is based on the changes in momentum of the underlying.
- It allows for stop outs and break evens based on volatility so they'll always adjust with the movement of the underlying ticker (see the blue lines above and below the opening in the chart).
- It allows for offset break evens to keep a portion of the profit.
Strategy for the Algo
Included so you can understand how to trade with it.
ONE: After loading this strategy onto a ticker turn off volume if it's a ticker with no volume , set the dates at the bottom to when the stock is active (you want to start backtesting when a stock started trading like it trades currently).
TWO: From there adjust the ADX/MACD to find the highest win rate and profit factor.
THREE: Then adjust the volume length to find the highest win rate and profit factor. It's important while doing these that you pay attention to a smooth upward equity curve.
FOUR: After this has been done now adjust the long and short risk multipliers. This determines your stop out.
FIVE: Then adjust breakeven multipliers - this is the level at which it changes to a breakeven stop out instead of the previous one. You can also set an offset to keep a small part of the profit.
SIX: Finally adjust the take profit sizes.
SEVEN: Once this is all done go back through the list and adjust up and down by one or two clicks and see if a better curve can be obtained. Very frequently long and short trades have different settings.
EIGHT: When you are finished save the settings in a custom indicator template and put it with it's own chart.
Additional
The settings shown on screen are not the default settings, but are settings chosen for this ticker and timeframe based on the process above. Nearly every ticker and timeframe will require adjustment from default, that's why the algorithm is built to be highly flexible. It can fit any ticker and timeframe, as well as market environment.
Also included in the chart above is a $1.25 commission per contract, and a tick of slippage (which on average is about right for automated trading on ES).
OnePunch Algo KITEIntroducing One of OnePunch ALGO Flagship plugin. In this plugin it comes with a in-built risk management system plus it allows users stop loss input per trade. This can be used with Cryptocurrency and Stocks equally.
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########## User Guide ###########
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OnePunch ALGO KITE should be used with 30min or upper time limits, this is built for long term trading strategies. Make sure once you pick a crypto or stock to trade, check its backtest data: which can be found at Strategy Tester. A good strategy should always out perform the Buy & Hold for a given timeframe.
Best Bar Time: 45m
Other Options
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Short Term/Day Trading Setup
For Short Term or Day Trade: 5min, 15min & 30min candlesticks
Mid Term Trading Setup
For Mid-term traders: 45m, 1hr, 2hr, and 3hr setup works really well.
For Long Term Trading Setup
For long term traders: 4hr, 1D, 1Week and 1Month Setup works well.
* Best timeframe should beat buy and hold for a given timeline.
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####### How Strategy Work ########
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Strategy use multiple signals and technical data. Including and not limited to Simple Moving Averages, Volume , & Trends. In this chart, we picked Polkadot (DOTUSD) crypto coin as an example with an initial capital of $1k. We have also added a slippage of 1 just to be on the safe side and a commission rate of 0.01% (Commission rates depends of your broker).
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######## Built with Inputs #########
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Date Pick: User can backtest the plugin with exact date you want from to till. For an example, you can check date from 01 / 01 /2020 (Default setting date) till day, and compare apple to apple results with other stocks. This is mostly used to check if another stock/crypto do better than the other compared to a given timeframe.
Risk Management per Trade: This also allows users to put their own risk management loss percentage. In default it is set to 100%. This allows user to see in the long run, if this provide better results with or without a stop loss.
Commission Rates: User can update commission rates according to their broker's fees
Slippage: To be more conservative about the entry and exit of a trade, user can input any slippage amount
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#### How to Detect BUY Signals #####
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When a teal color BUY signal is given, it is a BUY. This signal basically happen when a stock land in a high volatility zone. We use in-build systems such as MA , Support and Resistance and Trends to come up with the Buy Signal. Algorithm make a market order when the criteria's are met and algorithm exit if this turns out to be a bluff bullish signal.
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#### How to Detect SELL Signals #####
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When a maroon color SELL signal is given, it is a SELL happen when a momentum changed in a bearish downtrend. Sell happen when a momentum changed in a bearish downtrend. We use moving averages and trend analysis to identify downtrends. Algorithm make a market order when the criteria's are met. There is a in-built risk management that make an exit order when a bullish alert turns out to be a bluff.
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#### Bullish and Bearish Signals #####
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When a silver color Bearish signal is given, it is a BEARISH trend alert. It's up to the user to decide what to do when this alert is given. (Note: Backtest data only shows Buy and Sell Signal market orders results, it does not account bearish alerts), a Bearish signal given when the stock/crypto is overbought in multiple technical indicators.
When a sea blue Bullish trend signaled. (Mind this sea blue color signal will not be calculated in the backtest, it is up to the users to decide what to do with this bullish signal) - This signal happen when a stock is oversold in multiple technical indicators.
DISCLAIMER: Stocks and options trading involves substantial RISK of LOSS and is NOT suitable for every investor. The valuation of stocks and options may fluctuate, and, as a result, clients may lose more than their original investment. If the market moves against you, you may sustain a total loss greater than the amount you deposited into your account. You are responsible for all the risks and financial resources you use and for the chosen trading system. You should not engage in trading unless you fully understand the nature of the transactions you are entering into and the extent of your exposure to loss. If you do not fully understand these risks, you must seek independent advice from your financial advisor.
All trading strategies are used at your own risk. And OnePunch ALGO Developer does NOT take any responsibility for your losses using any of the advice or suggestions or strategies are shown/said in any of OnePunch ALGO publications.
Realtime ALGO Trades- RAT 1.0 This is based on the Algorithm Trading we do.
We had coded our strategy for testing in Pine for Realtime Automatic ALGO trading.
It gives automatic signal and place the order directly with SL and TGT to the broker in realtime.
Just try it..
TS - Long Term Trading Algorithm - StrategyStrategy to the bespoke TS - Trading Algorithm. Highly profitable cryptocurrency trading model.
This script is long only profitable strategy- there is a script coming in the next few days for shorter timeframe long & short trading.
- Backtesting is from 2017.
- 0.05% commission
- 100% capital allocation per trade.
Access to both the backtesting strategy & indicator is paid - PM me for details.
Intraday Trend Following Algorithm [Bitduke]Description :
Trend following strategy that constantly adjusts to volatility and avoids of most whipsaws; rapidly moves up or down according to a quickly changing market. Great strategy for high volatile markets, like crypto market.
Based on a couple of special moving averages with integrated smoother which helps to avoid whipsaws.
Backtesting
Backtested on BTCPERP ( FTX ). It shows much better results on 4h timeframe (more than 222% YTD) and relatively low drawdown which allows you to use up to x3 leverage without a fear of huge losses. I.e if we have 5% drawdown for this strategy and using x3 leverage then to be prepared to 15% drawdown maximum in this case.
Initial Capital: $1000
Capital per trade: $1000
Including fee: 0.075% (buy + sell) side, type "taker"
When we get a signal (green/red column on chart) algo opens a trade by the next candle open price.
Others:
Risk management: Stop loss/Take profit in %
Strategy doesn't repaint .
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To access: sign up on FTX using ref link from my signature.
Bitcoin Trading Algo, 30,500% profit long + short. Beats HODLingREAD DISCRIPTION FIRST
Trading view have taken off the Invite Only options for scripts from free accounts and since I usually only like people I know using my scripts I have programmed my own password and Keycode system within pine script, the Keycode changes every month and is determined by a random number algorithm so you will need to know both the password and the keycode for the script to wok for you.
The objective for this strategy was to reduce the standard divination of bitcoin returns through risk management, this is done with both long and short trades. It looks to get on board when a trend is detected and adds to the position to average out all entry points. When the momentum begins to decelerate all trades are closed. 50% of these trades will usually be in profit and 50% will usually be a loss, however profits are 3x larger than losses.
To demonstrate that the deviation of retuns of the strategy is lower than hodling, I leaveraged the strategy to a similar drawdown level to hodling so that you can compare the two.
When risk adjusted, my strategy beats buy and hold returns by about 600%, although I am personally trading the strategy unleaveraged.
[Fedra Algotrading Strategy]English / Spanish
Algotrading strategy optimized for cryptocurrencies. Originally conceived to trade automatically through bots (that's how I use it), it also works to get signals and trade manually in any exchange.
It works in spot. It does not repaint. Works in 15M, 30M, 1H and 4H (I prefer short periods).
Features:
Buy the dip:
Attempts to buy on the dip, finding entries when the price makes abrupt dips that break the linear regression of the last periods (default 40).
Trailing Take Profit:
Once the percentage established for the take profit is reached, the strategy follows the price if it is rising until it stops rising and only then makes the sale.
Trend Detection:
Determines whether the market is in an uptrend or downtrend by crossing 2 SMAs. This affects the performance of the strategy. This works as a filter to avoid making entries in a downtrend.
Trailing Break Even:
If the market enters a downtrend with an open trade, a Trailing Break Even is triggered, (configurable, default 1.5%). The intention is to close the trade as soon as possible, but without losses. The value of 1.5% is intended to cover commission costs and a possible spread. Like the Take Profit, the Trailing Break Even follows the price as it rises until it stops doing so before closing the trade.
How to use this strategy?
In the properties of the strategy you assign the amount you will trade (default 100), the percentage of the total capital you will use in each trade (default 100%) and the value of the commissions (default 1%).
Select the pair to trade. The strategy is optimized for trading pairs with stable coins. The strategy benefits from volatility so choosing among currencies with a market cap between 50M and 10,000M gives better profits than with top 10 currencies.
In the strategy options, disable the stoploss by setting it to 100% to be able to concentrate on the Take Profit.
With an eye on the "Net Profit" of the strategy, start with the take profit at 3% (for lower percentages there is the Break Even) and increase it 1 by 1 until determining which is the best for our pair (the one that gives us a better net profit).
Once the Take Profit is established, enable the StopLoss starting from 1 and choosing the best parameter looking for the balance that makes us feel comfortable between the Net Profit and the total of closed operations.
Test this same with candles of different periods (I trade with 15M and 30M candles).
Tip:
To trade automatically using a bot, I recommend using pairs in which the strategy has a profitability higher than 80%.
To counteract possible overfitting, when the strategy has given me a 30% profit, I recalculate the optimal parameters.
If you are interested in auromatizing it to trade on Binance, Binance US, AAX, Kucoin, Liquid, Okex, Bitfinex, Bittrex, Coinbase Pro, Gemini, HitBTC, Kraken or Poloniex, I recommend using Quadency bots, they are free and the ones I use.
This will eventually be a paid script, but you can request free access for now.
I am still working on optimizations, improvements, and more features.
DCA version coming soon.
I leave some optimizations of the spares I am trading at the moment (On 15M candles):
PAIR SL TP Bars Profit Profit Rentability
OM 3 4 96 70 2703.41% 88.57%
NU 4 3 96 81 1170.38% 86.42%
ONE 4 4 192 83 756% 91.57%
FTM 8 4 192 80 900.00% 92.50%
LUNA 3 8 192 78 410.98% 83.33%
OMG 6 4 192 72 408.75% 88.89%
FRONT 2 5 96 61 406% 85.25%
SOL 5 10 96 84 381.78% 83.33%
UTK 2 4 192 59 520.00% 88.06%
NMR 2 3 96 76 279% 80.26%
STPT 1 4 96 84 272.34% 79.76%
ROSE 5 4 96 59 478.00% 88.00%
clv 4 5 192 46 216% 78.26%
XTZ 4 6 96 87 216.00% 82.76%
C98 1 6 96 36 184.46% 80.56%
ALGO 7 4 192 61 222.00% 88.52%
ATOM 6 4 96 73 160.40% 86.30%
DOT 3 6 96 75 156.54% 84%
REEF 4 4 96 67 154.90% 85.07%
AUDIO 10 5 192 62 128.48% 83.87%
DYDX 1 10 96 20 120.76% 90%
DOT 4 6 96 77 111.33% 83.12%
KEEP 7 5 96 69 110% 87%
MINA 7 6 96 23 100.29% 86.96%
OPUL 1 5 96 18 95.26% 100%
HBAR 1 3 192 76 91.82% 81.58%
VRA/USDT 7 4 96 81 89.35% 81.48%
XEC 3 14 96 27 89.24% 85.19%
*****************************************************SPANISH*****************************************
Estrategia de Algotrading optimizada para criptomonedas. Originalmente concebida para operar de manera automática mediante bots (así la utilizo yo), funciona también para obtener señales y operar manualmente en cualquier exchange.
Funciona en spot. No repinta. Funciona en 15M, 30M, 1H y 4H (Yo prefiero periodos cortos)
Características:
Buy the dip:
Intenta comprar en el dip, encontrando entradas cuando el precio hace bajadas abruptas que rompen la regresión lineal de los últimos periodos (por defecto 40)
Trailing Take Profit:
Una vez alcanzado el porcentaje establecido para el take profit, la estrategia acompaña al precio si está en ascenso hasta que deja de subir y recién ahí realiza la venta.
Detección de Trend:
Determina si el mercado tiene una tendencia alcista o bajista mediante el cruce de 2 SMAs. Esto afecta el funcionamiento de la estrategia. Esto funciona como filtro para evitar realizar entradas en una tendencia bajista.
Trailing Break Even:
Si el mercado entra en tendencia bajista con una operación abierta, se activa un Trailing Break Even, (configurable, por defecto 1.5%). La intención es cerrar la operación lo antes posible, pero sin pérdidas. El valor de 1.5% está pensado para cubrir los costos de comisiones y un posible spread. Al igual que el Take Profit, El Trailing Break Even acompaña al precio mientras sube hasta que deja de hacerlo antes de cerrar la operación.
Cómo utilizar esta estrategia?
En las propiedades de la estrategia se le asigna el monto con el que va a operar (por defecto 100), el porcentaje del total de capital que utilizará en cada operación (por defecto 100%) y el valor de las comisiones (por defecto 1%)
Seleccionar el par a operar. La estrategia está optimizada para operar en pares con stablecoins. La estrategia se beneficia con la volatilidad por lo que elegir entre las monedas con un market cap de entre 50M y 10.000M da mejores beneficios que con monedas del top 10
En las opciones de la estrategia, deshabilitar el stoploss configurándolo en 100% para poder concentrarnos en el Take Profit.
Con un ojo en el “Beneficio Neto” de la estrategia, comenzar con el take profit en 3% (para porcentajes menores está el Break Even) e ir aumentándolo de 1 en 1 hasta determinar cuál es el mejor para nuestro par (el que nos proporciona un major beneficio neto).
Establecido el Take Profit, habilitar el StopLoss partiendo de 1 y eligiendo el mejor parámetro buscando el equilibrio que nos haga sentir cómodos entre el Beneficio Neto y el total de operaciones cerradas.
Probar esto mismo con velas de diferentes periodos (Yo opero con velas de 15M y 30M)
Consejo:
Para operar de manera automática mediante un bot, recomiendo utilizar pares en los que la estrategia tenga una rentabilidad superior al 80%
Para contrarestar posible overfiting, cuando la estrategia me ha dado un 30% de profit, vuelvo a calcular los parámetros óptimos.
Si te interesa auromatizarla para operar en Binance, Binance US, AAX, Kucoin, Liquid, Okex, Bitfinex, Bittrex, Coinbase Pro, Gemini, HitBTC, Kraken o Poloniex, recomiendo usar los bots de Quadency, son gratiutos y los que yo utilizo.
Este será eventualmente un script pago, pero puedes solicitar acceso gratuito por ahora.
Sigo trabajando en optimizaciones, mejoras, y más funciones.
Próximamente versión DCA.
Dejo algunas optimizaciones de lo spares que yo estoy operando en este momento (En velas de 15M contra BUSD):
PAR SL TP Bars Operaciones Profit Rentabilidad
OM 3 4 96 70 2703.41% 88.57%
NU 4 3 96 81 1170.38% 86.42%
ONE 4 4 192 83 756% 91.57%
FTM 8 4 192 80 900.00% 92.50%
LUNA 3 8 192 78 410.98% 83.33%
OMG 6 4 192 72 408.75% 88.89%
FRONT 2 5 96 61 406% 85.25%
SOL 5 10 96 84 381.78% 83.33%
UTK 2 4 192 59 520.00% 88.06%
NMR 2 3 96 76 279% 80.26%
STPT 1 4 96 84 272.34% 79.76%
ROSE 5 4 96 59 478.00% 88.00%
clv 4 5 192 46 216% 78.26%
XTZ 4 6 96 87 216.00% 82.76%
C98 1 6 96 36 184.46% 80.56%
ALGO 7 4 192 61 222.00% 88.52%
ATOM 6 4 96 73 160.40% 86.30%
DOT 3 6 96 75 156.54% 84%
REEF 4 4 96 67 154.90% 85.07%
AUDIO 10 5 192 62 128.48% 83.87%
DYDX 1 10 96 20 120.76% 90%
DOT 4 6 96 77 111.33% 83.12%
KEEP 7 5 96 69 110% 87%
MINA 7 6 96 23 100.29% 86.96%
OPUL 1 5 96 18 95.26% 100%
HBAR 1 3 192 76 91.82% 81.58%
VRA/USDT 7 4 96 81 89.35% 81.48%
XEC 3 14 96 27 89.24% 85.19%
PA Researcher Algorithmic Trading Indicator PA Researcher Algorithmic Trading Indicator v1.
This Indicator is Algorithmic Trading Indicator.
Provide Best Buy/Sell Time & Good to check Long/Short term Trend For Swing/Scalping
Easy Trend Analysis for Beginner
Ability to Turn ON/OFF each Indicators
Ability to Change Colors
#This is not a Auto-Bot, This indicator Provide the Best Enter Time
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PA Researcher Algorithmic Trading Indicator v1. 입니다.
자동화된 추세 분석을 통해 단/중/장기적인 추세 분석을 나타내주며,
알고리즘 값에 충족할 시 매수/매도 시그널이 나타납니다.
추세분석을 매우 쉽게 나타내며, 원웨이를 잡기에 매우 좋은 진입 시그널이 발생됩니다.
무엇보다, 추세변곡을 엄청나게 잘 잡아냅니다.
그 어떤것보다 시각적인 요소를 중요시 했기 때문에, 사용법을 잘 모르시는 분들도 쉽게 사용하실 수 있습니다.
Ex_)
Hit ratio example
적중률은 이 사진 한장으로 설명됩니다.
Relativity BEARS FOREX 50X 4H AlgorithmHello, this script is the correction of my old script related to Forex. (Bear market)
Old script :
4H was chosen as the time frame.
Thus, larger pips are at our disposal and we benefit more from the hedge effect of the leverage.
Commissions per trade have been removed to get more realistic commissions.
Because every wrong trade deletes all the 1% position size.
(with leverage effect)
Use the links below to obtain access to this indicator :
Relativity BULLS FOREX 50X 4H Algorithm
Hello, this script is the correction of my bull script related to Forex. (Bull market)
Old script :
4H was chosen as the time frame.
Thus, larger pips are at our disposal and we benefit more from the hedge effect of the leverage.
Commissions per trade have been removed to get more realistic commissions.
Because every wrong trade deletes all the 1% position size.
(with leverage effect)
Use the link below to obtain access to this indicator :
