Wunder Volatility botWunder Volatility bot
We have used the Average True Range (ATR) in many of its trading versions.
1. ATR with MA. This indicator includes the ATR as well as the simple moving average, which helps to restore the expected market.
2. We apply percentage based ATR to determine how volatile the market is and whether to buy or sell at that time. For trading, we will filter the market and make trades only within the specified range. This range will adjust depending on the asset, so you will need to change the settings if you are trading multiple assets.
3. A function for calculating risk on the portfolio (your deposit) has been added to the Wunder Volatility bot script. When this option is enabled, you get a calculation of the entry amount in dollars relative to your Stop Loss. In the settings, you can select the risk percentage on your portfolio. The loss will be calculated from the amount that will be displayed on the chart.
For example, if your deposit is $1000 and you set the risk to 1%, with a Stop Loss of 5%, the entry volume will be $200. The loss at SL will be $10.10, which is your 1% risk or 1% of the deposit.
**Important!** The risk per trade must be less than the Stop Loss value. If the risk is greater than SL, then you should use leverage.
The amount of funds entering the trade is calculated in dollars. This option was created if you want to send the dollar amount from Tradingview to the exchange. However, putting your volume in dollars you get the incorrect net profit and drawdown indication in the backtest results, as TradingView calculates the backtest volume in contracts.
To display the correct net profit and drawdown values in Tradingview Backtest results, use the ”Volume in contract” option.
Komut dosyalarını "bot" için ara
3Commas dollar cost averaging (DCA) QFL IndicatorAs investors, we often face the dilemma of willing high stock prices when we sell, but not when we buy. There are times when this dilemma causes investors to wait for a dip in prices, thereby potentially missing out on a continual rise. This is how investors get lured away from the markets and become tangled in the slippery slope of market timing, which is not advisable to a long-term investment strategy.
Skyrex developed a complex indicator based on dollar-cost averaging in Quick Fingers Luc's interpretation. It is a combinations of strategies which allows to systematically accumulate assets by investing scaled amounts of money at defined market cycle global support levels. Dollar-cost averaging can reduce the overall impact of price volatility and lower the average cost per asset thus even during market slumps only a small bounce is required to reach take profit.
The indicator script monitors a chart price action and identifies bases as they form. When bases are reached the script provides entry alerts. During price action development an asset value can go lower and in this way the script will perform safety entries alerts at each subsequent accumulation levels. When weighted average entry price reaches target profit the script will perform a take profit action alert.
Bases are identified as pivot lows in a fractal pattern and validated by an adjustable decrease/rise percentage to ensure significancy of identified bases. To qualify a pivot low, the indicator will perform the following validation:
Validate the price rate of change on drops and bounces is above a given threshold amount.
Validate the volume at the low pivot point is above the volume moving average (using a given length).
Validate the volume amount is a given factor of magnitude above is above the volume moving average.
Validate the potential new base is not too close to the previous range by using a given price percent difference threshold amount.
A fractal pattern is a recurring pattern on a price chart that can predict reversals among larger, more chaotic price movements. These basic fractals are composed of five or more bars. The rules for identifying fractals are as follows:
A bearish turning point occurs when there is a pattern with the highest high in the middle and two lower highs on each side.
A bullish turning point occurs when there is a pattern with the lowest low in the middle and two higher lows on each side.
Basic dollar-cost averaging approach is enhances by implementation of adjustable accumulation levels in order to provide opportunity of setting them at defined global support levels and Martingale volume coefficient to increase averaging effect. According to Quick Fingers Luc's principles trading principles we added volume validation of a base because it allows to confirm that the market is resistant to further price decrease.
The indicator supports traditional and cryptocurrency spot, futures , options and marginal trading exchanges. It works accurately with BTC , USD, USDT, ETH and BNB quote currencies. Best to use with 1H timeframe charts and limit orders. The indicator can be and should be configured for each particular asset according to its global support and resistance levels and price action cycles. You can modify levels and risk management settings to receive better performance
The difference between core script and this interpretation is that this strategy is specially designed for 3Commas bots
How to use?
1. Apply indicator to a trading pair your are interested in using 1H timeframe chart
2. Configure the indicator: change layer values, order size multiple and take profit/stop loss values according to current market cycle stage
3. Set up a TradingView custom alert using the indicator settings to trigger on a condition you are interested in
4. The indicator will send alerts when to enter and when to exit positions which can be applied to your portfolio using external trading platforms
5. Update settings once market conditions are changed using backtests on a monthly period
ETH long bot - 8hrThis is a high-latency algorithm, safely running on the Ethereum 8hr chart where it can execute trades on a multi-day timeframe, making it easy to enter and exit large positions and without incurring excessive commission fees.
As a long bot, this script should be ran in markets that are trending upwards. Nonetheless, the operator can be at ease knowing that the script can safely run autonomously during these extended periods. It is shown here performing full-time over a 46 month period, from January 2019 through October 2021, steadily increasing the available capital despite the asset's fluctuations. While the buy and hold return over this time was 714%, the algorithm produced a net profit 4,060%, outperforming the market by over 5.5x. This equates to a 40x return on investment in 4 years.
The strategy behind this algorithm is to always capitalize on significant jumps in the market. This is accomplished by using a simple combination of RSIs:
- One RSI uses VWAP as a source, which is primarily responsible for entering growth trends whenever they begin
- The other is a Stochastic RSI , which is primarily responsible for identifying exhausted periods of growth
These calculations are calibrated so that the bot can jump in and out of trades to improve its position when there isn't significant price action one way or the other, but is then able to remain in positions during uptrends that are backed by volume to achieve maximum gains. This strategy is reflected by the fact that while profitable trades are almost 3 times larger than losing trades, on average, they also last for an average of 6 days, whereas losing trades usually last about 2.
Buy Sell Bot StrategyHello Everyone,
In this strategy, I benefited from the values of RSI and wave trend indicators, which are the oldest and most used indicators in the market. I contributed to this bi-valued indicator myself with a bivariate formula. My variables are actually a simple intersection algorithm, the intersection of the wave trend indicator and the RSI indicators when they are oversold or overbought.
As you all know, we can send signals to bot sites via tradingview. You can use bot signals boxes in this strategy. You can analyze past transactions in the Date settings section. In the indicator settings section, you can change the settings of the overbought and oversold zones. Perhaps the most important feature here is the USE SELL SIGNALS section. I would like to emphasize this section in particular that when you mark the use sell signal section, the strategy will be processed in the buy section and will not be processed in the sell section. If you do not click on the USE SELL SIGNALS section, the strategy will be processed in the buy section, but this time it will be exited when the target in the take profit section is reached. THIS WAS IMPORTANT.
There is another important point here. Always in position and USE SELL SIGNALS sections do not work together. Run these two features one by one. It is a strategy that is constantly in operation through the name of the Always in position feature, I do not recommend it. The USE PERCENTAGE DECREASE feature, on the other hand, is the section where we want the share to drop as a percentage to enter the second trade after the first purchase is made in the settings section if you activate the pyramiding feature. You can use the tradingview help page for the pyramiding feature.
I found this strategy suitable to use in the 1-hour time frame in the crypto market and adjusted it that way. Of course, you can use it by changing the settings in stocks and in different time periods. big wins
GRID SPOT TRADING ALGORITHM - GRID BOT TRADING STRATEGYGRID SPOT TRADING ALGORITHM : LONG ONLY STRATEGY OPEN SOURCE
This is a long only strategy for spot assets.
HOW IT WORKS
Grid trading is a trading strategy where an investor creates a so-called "price grid". The basic idea of the strategy is to repeatedly buy at the pre-specified price and then wait for the price to rise above that level and then sell the position (and vice versa with shorting or hedging).
FEATURES
Grids: This algorithm has a total of 10 grids.
Take profit: The trader can increase or decrease the distance between the grids from the User Interface panel, the distance between one grid and another represents the take profit.
Management: The algorithm buys 10% of the capital every time the price breaks down a grid and sells during a rise to the next higher grid. The initial capital is invested in 10 sizes which represent 10% of the capital per trade.
Stop Loss: The algorithm knows no stop loss as long as it is not activated from the User Interface panel. By activating the stop loss from the User Interface panel the algorithm will insert a close condition on all trades which will be calculated from the last lower grid.
Trades: Trades are opened only if the price is within the grid. If the market leaves the grid the algorithm will not buy new positions or sell new positions.
Optimal market conditions: The favorable market for this algorithm is the sideways market.
LIMITATIONS OF THE MODEL
The trader must take into account that this is a static model. It only works perfectly well if the market is in a sideways phase and incurs heavy losses if the market takes a downward trend. The model is unusable for an uptrend. The trader must therefore carefully analyze the market where he intends to use this strategy, making sure that the price is in a sideways phase.
USES
Indispensable research and backtesting tool for those using bots for their investments. The algorithm produces a backtesting of the strategy for past history. It is used by professional traders to understand if this strategy has been profitable on a market and what parameters to use for bots using this strategy (Kucoin, Binance etc.).
If you would like to develop your own algorithm with customized conditions based on a grid strategy, please contact us.
If you need help in using this tool, please contact us without hesitation.
gangood bot for FinandyGangood is a mean reversion algorithm currently optimized for trading the ETH/USDT pair on the 1 hour chart time frame. All indicator inputs use the closing price of the period, and all trades are executed at the open of the period following the period in which the trading signal was generated.
To take into account slippage, the commission costs 0.15%.
Backtest result from 2020.
Result since 2019 2,500,000%, maximum drawdown 18%
This bot uses 11 indicators:
1) ADX
2) RANGE FILTER
3) SAR
4) RSI
5) TWAP
6) JMA
7) MACD
8) VOLUME DELTA
9) VOLUME WEIGHT
10) MA
11) TSI
Pattern 1:
There are 3 main components that make up Gangood: I. Trend Filter. The algorithm uses a version of the ADX indicator as a trend filter to only trade during certain time periods when price is most likely to be range-bound (i.e., average retracement). This indicator consists of a fast ADX and a slow ADX both using the same lookback period.
The ADX is smoothed with a 6-period EMA and the slow ADX is smoothed with a 12-period EMA. When the fast ADX is above the slow ADX , the algorithm does not trade because it indicates that the price is most likely trending, which is bad for a mean reversion system. Conversely, when the fast ADX is below the slow ADX, the price is likely to be in a range, so this is the only time the algorithm is allowed to trade. II. Bollinger Bands When the trend filter allows trading, the algorithm uses Bollinger Bands.
Indicator for opening long and short positions. The Bolliger Bands indicator has a 20 lookback period and a 1.5 standard deviation for both the upper and lower bands. When the price crosses the lower band, a buy signal is generated and a long position is opened. When the price crosses the upper band, a sell signal is generated and a short position is opened.
Pattern 2:
Based on RSI which is commonly used as a trend reversal indicator. However, here it is used as a trend-setting indicator, often with great success. This pattern only takes long trades, which is quite successful in a bull market.
Pattern 3:
Long or short trades are determined by the intersection of the fast EMA with the slow EMA for long positions and vice versa for short positions. Trades should only occur close to intersections. We then use the MACD for the long position. an indicator with a 10-minute time frame where we look for high peaks in negative values for longs and vice versa for shorts. They should be significantly higher than the other peaks.
Capital Management:
The maximum leverage in this strategy, I would recommend 2x, in order to trade without unnecessary risks and keep your nerves in order.
Bot setup:
I use the Finandy terminal, in which you can easily trade with this strategy.
1. We go to binance and turn on the hedging mode, this is necessary so that if tradingview sends a webhook for buying later than for selling.
2. Adding a new signal to Finandy
2.1. Open tab
2.1.1. "Order side" Strategy
2.1.2. "Amount" Balance% x Leverage
2.1.3. We set the percentage of the order two times less than the one you want
2.1.4. "Shoulder" is twice as large as the one you want
2.2.Close tab
2.2.1. "Enebaled" tick
2.2.2. "Reverse / Close" Disable
3. Set a notification for this strategy.
4. Copy "Signal URL" and paste it into webhook on tradingview
5. Copy "Signal Message" and paste it into the message on tradingview
Argo I (alerts for 3commas single bots)This script lets users create BUY/SELL alerts for 3commas single bots in a simple way, based on a built in set of indicators that can be tweaked to work together or separately through the study settings. Indicators include Bollinger Bands, Williams %R, RSI, EMA, SMA , Market Cipher, Inverse Fisher Transform.
If the user choses to create both BUY and SELL signals from the study settings, the alert created will send both BUY and SELL signals for the selected pair. Note the script will only send alerts for the pair selected in the study settings, not for the current chart (if different).
How to use:
- Add the script to the current chart
- Open the study settings , insert bot details. Pairs MUST be in capital letters or 3commas will not recognize them.
- Still in the study settings, tweak the deal start/close conditions from various indicators until happy. The study will plot the entry / exit points below the current chart (1 = buy, 2 = sell)
- Ideally, test the settings with a backtesting script. The present script is compatible with the Trading Parrot's backtester.
- When happy, right click on the "..." next to the study name, then "Add alert'".
- Under "Condition", on the second line, chose "Any alert () function call". Add the webhook from 3commas, give it a name, and "create".
Happy tweaking!
Trend Bot Signal Detector by [ToplaninKizlarUcuyoruz]- This indicator working as a detector to receive my previous indicator's (Trend Bot, below) signals and appear all of the coins' signals in one table.
- You can also set alarms to receive notifications when signals.
- The indicator allow only 4 coins and four time intervals for each coins. (15 min - 1 hour - 4 hour - 1 day)
- You can add the indicator multiple times to keep track of coins more than 4 or track different exchanges.
** You can see a more descriptive page in my website. (Link is below and on my profile) **
The indicator (Trend Bot) which signals were received:
(you can also find more information about how it works, click on this chart picture)
Zendog V2 backtest DCA bot 3commasHi everyone,
After a few iterations and additional implemented features this version of the Backtester is now open source.
The Strategy is a Backtester for 3commas DCA bots. The main usage scenario is to plugin your external indicator, and backtest it using different DCA settings.
Before using this script please make sure you read these explanations and make sure you understand how it works.
Features:
- Because of Tradingview limitations on how orders are grouped into Trades, this Strategy statistics are calculated by the script, so please ignore the Strategy Tester statistics completely
Statistics Table explained:
- Status: either all deals are closed or there is a deal still running, in which case additional info
is provided below, as when the deal started, current PnL, current SO
- Finished deals: Total number of closed deals both Winning and Losing.
A deal is comprised as the Base Order (BO) + all Safety Orders (SO) related to that deal, so this number
will be different than the Strategy Tester List of Trades
- Winning Deals: Deal ended in profit
- Losing deals: Deals ended with loss due to Stop Loss. In the future I might add a Deal Stop condition to
the script, so that will count towards this number as well.
- Total days ( Max / Avg days in Deal ):
Total Days in the Backtest given by either Tradingview limitation on the number of candles or by the
config of the script regarding "Limit Date Range".
Max Days spent in a deal + which period this happened.
Avg days spent in a deal.
- Required capital: This is the total capital required to run the Backtester and it is automatically calculated by
the script taking into consideration BO size, SO size, SO volume scale. This should be the same as 3commas.
This number overwrites strategy.initial_capital and is used to calculate Profit and other stats, so you don't need
to update strategy.initial_capital every time you change BO/SO settings
- Profit after commission
- Buy and Hold return: The PnL that could have been obtained by buying at the close of the first candle of the
backtester and selling at the last.
- Covered deviation: The % of price move from initial BO order covered by SO settings
- Max Deviation: Biggest market % price move vs BO price, in the other direction (for long
is down, for short it is up)
- Max Drawdown: Biggest market % price move vs Avg price of the whole Trade (BO + any SO), in the other
direction (for long price goes down, for short it goes up)
This is calculated for the whole Trade so it is different than List of Trades
- Max / Avg bars in deal
- Total volume / Commission calculated by the strategy. For correct commission please set Commission in the
Inputs Tab and you may ignore Properties Tab
- Close stats for deals: This is a list of how many Trades were closed at each step, including Stop Loss (if
configured), together with covered deviation for that step, the number of deals, and the percentage of this
number from all the deals
TODO: Might add deal avg value for each step
- Settings Table that can be enabled / disabled just to have an overview of your configs on the chart, this is a
drawn on bottom left
- Steps Table similar to 3commas, this is also drawn on bottom left, so please disable Settings table if you want
to see this one
TODO: Might add extra stats here
- Deal start condition: built in RSI-7 or plugin any external indicator and compare with any value the indicator plots
(main purpose of this strategy is to connect your own studies, so using external indicator is recommended)
- Base order and safety orders configs similar to 3commas (order size, percent deviation, safety orders,
percent scale and volume scale)
- Long and Short
- Stop Loss
- Support for Take profit from base order or from Total volume of the deal
- Configs help (besides self explanatory):
- Chart theme: Adjust according to the theme you run on. There is no way to detect theme at the moment.
This adjust different colors
- Deal Start Type: Either a builtin RSI7 or "External indicator"
- Indicator Source an value: If using External Indicator then select source, comparison and value.
For example you could start a deal when Volume is greater than xxxx, or code a custom indicator that plots
different values based on your conditions and test those values
- Visuals / Decimals for display: Adjust according to your symbol
- BO Entry Price for steps table: This is the BO start deal price used to calculate the steps in the table
TFi Simple Moving Average Bot V1 - PUBLICThe bot is using 2 moving averages for detecting the trend; the type of moving average is configurable; if the 2 moving averages are crossing it enters a long or short position. A stop-loss and profit-target can be configured; if reaching the profit-target, the bot is closing 50% (configurable) of the position, from this time on it is using a trailing-stop to close the position if the trailing-stop has been crossed.
The following moving-averages can be configured:
DEMA
EMA
HMA
RMA
SMA
TEMA
VWMA
WMA
Overview of features:
Optional stop-loss and profit-target/trailing-stop
Built-in backtesting engine with start balance, position size and pyramiding; each year will be evaluated separately
Inputs for a percentage entry and exit slippage, entry/exit and daily funding fees
Configurable alerts, which follow the exact position of the entry/exit marker
Alert messages contain predefined trading instruction to execute orders via TradeFab's proprietary trading server, which supports Alpaca-Markets, TD Ameritrade, Oanda, CCXT API's, or can be defined by the user
The script renders a performance/status table, which shows the current position status and result of the built-in trading simulation results. The following statistics are shown:
Current position PnL - also background turns green if position is in profit and red if in loss
Average entry price and number of positions
Current percentage distance to the optional stop-loss level
Current Maximum Draw Down
Number of wins and losses and the win/loss ratio per year and overall
Profit and loss amount, paid fees per year and overall
Profit-ratio and Maximum Draw Down per year and overall
Balance and ROI per year and overall
Zendog Backtest-DCA-Bot-3commasHi everyone,
This is a strategy that serves as a basic Backtester for 3commas DCA bots.
You can plugin your own studies into the Backtester, play around with their parameters as well with the DCA parameters and see how they can provide best result on historical data.
Features:
- Meaningful statistics that actually group orders under the same deal.
(base order + safety orders are the same deal, but Tradingview Strategy Tester shows them as separate trades)
See how many safety orders were used for each deal.
- Deal start condition: built in RSI-7 or external indicator
(main purpose of this strategy is to connect your own studies, so using external indicator is recommended)
- Base order and safety orders configs similar to 3commas
(order size, percent deviation, safety orders, percent scale and volume scale)
- Support for Long strategy for now (plan to add Short)
Dump AlertsNYSE:BRK.B
By popular demand: An inverted version of my first indicator Pump Alerts in Pine Script with two alert conditions for trading bots and automated stock trading setups.
It's originally based on "Pump Catcher" by @joepegler
I modified some parts, hopefully improved the usability and enabled alerts, so you can use it to trigger bots like 3commas via webhooks or stock brokers partnering with TradingView.
Dump Alerts 📉 attempts to detect moments of abnormal and accelerating increase in volume concurrent with falling prices AKA "dumps". Small and big dumps.
I recommend trying different timeframes and tinkering with the lookback period as well as both threshold values.
Other than that it's pretty self-explanatory and beginner-friendly.
Free and Open Source. Let me know how you use it!
Trading Bot Buy Signal 03 - MTF StochRSIWelcome to our third Tradingview buy signal indicator.
We develop signals which have been specially developed for crypto trading bots. We publish new indicators at regular intervals.
This indicator is based on our "Trading Bot Buy Signal 03 Strategy - MTF StochRSI" strategy, so that you can apply and test this strategy to your charts/pairs.
The basic idea of this script is to use the stochastic RSI indicator in multiple Timeframes. When all selected timeframes show an oversold and in 5 Min Timeframe is an crossover, it triggers a solid buy signal. This strategy is relatively robust against false breakouts, even if these can of course never be avoided. These signals occur relatively rare, but you can set an alarm up on different pairs simultaneously. The strategy needs to be set up in 5 min chart cause of an additional crossover buy condition. It wasnt tested in Forex etc. but feel free to test it.
We recommend to base your sell strategy on trailing stop-loss and not indicator based. A traling stop-loss arming at 1% and trailing stop-loss percentage at 0.3% works well. Our goal was it to reduce the average coin holding time to a minimum. We recommend this procedure cause we believe in the power of long term uptrending crypto, compounding and dont want to sell at a loss in a false breakout. But you can handel it like you prefere.
This indicator using different timeframes so it is sending a repainting warning. Cause it calculates values in a different timeframe. But thats normal and it wont recalculate results.
Feel free to adjust the parameters to your preferences:
- Adjust the values of Stoch - K and Length of RSI and Main Stoch to change the sensitivity of the indicator
- Turn on different timeframes or leave default timeframes
- Adjust the oversold Limit of the StochRSI indicator to change results
We sell this indicator so it is invite only. But of cause you can test it before buying. Also you can freely test the strategy before. Simply check out our profil and look for "Trading Bot Buy Signal 03 Strategy - MTF StochRSI".
If there are questions, write them into the comments or contact us directly over the direct message. Happy Trading!
All-In-One Trading Bot Buy SignalsWelcome to our first Tradingview buy signal indicator.
We develop signals which have been specially developed for crypto trading bots. We publish new indicators at regular intervals.
At the moment our all-in-one indicator includes the following indicators:
- "Crypto Bot Signal 01 - Optimized RSI Momentum"
- "Trading Bot Buy Signal 02 - MTF Stochastic"
The basic idea of this all-in-one indicator is to decrease the needed number of alarms and to provide an all-in-one script for our users. You can freely choose which indicators you want to include into your signal generation. We only include indicators which are relatively robust against false breakouts, even if these can of course never be avoided. These signals alone occur relatively rare, but you can set an alarm up on different pairs simultaneously. The strategy works best in 5 min chart and in crypto pairs. It wasnt tested in Forex etc. but feel free to test it, with the published strategies.
We recommend to base your sell strategy on trailing stop-loss and not indicator based. A traling stop-loss arming at 1% and trailing stop-loss percentage at 0.3% works well. Our goal was it to reduce the average coin holding time to a minimum. But of cause you can adjust it to your needs and test it before with the help of our strategies. We recommend this procedure cause we believe in the power of long term uptrending crypto, compounding and dont want to sell at a loss in a false breakout. But you can handel it like you prefere and set your own sell alarms.
We sell this indicator so it is invite only. But of cause you can test the single indicators before buying. Also you can freely test the strategies before. Simply check out our profil for it.
If there are questions, write them into the comments or contact us directly over the direct message. Happy Trading!
Trading Bot Buy Signal 02 - MTF StochasticWelcome to our second Tradingview buy signal indicator.
We develop signals which have been specially developed for crypto trading bots. We publish new indicators at regular intervals.
This indicator is based on our "Trading Bot Buy Signal 02 Strategy - MTF Stochastic" strategy, so that you can apply and test this strategy to your charts/pairs.
The basic idea of this script is to use the stochastic indicator in multiple Timeframes. When all selected timeframes show an oversold it triggers a solid buy signal. This strategy is relatively robust against false breakouts, even if these can of course never be avoided. These signals occur relatively rare, but you can set an alarm up on different pairs simultaneously. The strategy works best in 5 min chart and in crypto pairs. It wasnt tested in Forex etc. but feel free to test it.
We recommend to base your sell strategy on trailing stop-loss and not indicator based. A traling stop-loss arming at 1% and trailing stop-loss percentage at 0.3% works well. Our goal was it to reduce the average coin holding time to a minimum. We recommend this procedure cause we believe in the power of long term uptrending crypto, compounding and dont want to sell at a loss in a false breakout. But you can handel it like you prefere.
This indicator using different timeframes so it is sending a repainting warning. Cause it calculates values in a different timeframe. But thats normal and it wont recalculate results.
Feel free to adjust the parameters to your preferences:
- Adjust the values of Stoch - K and Stoch - D to change the sensitivity of the indicator
- Turn on different timeframes or leave default timeframes
- Adjust the threshold value of the stoch indicator to change results
We sell this indicator so it is invite only. But of cause you can test it before buying. Also you can freely test the strategy before. Simply check out our profil and look for "Trading Bot Buy Signal 02 Strategy - MTF Stochastic".
If there are questions, write them into the comments or contact us directly over the direct message. Happy Trading!
Crypto Bot Buy Signal 01 - Optimized RSI MomentumWelcome to our first Tradingview buy signal indicator.
We develop signals which have been specially developed for crypto trading bots. We publish new indicators at regular intervals.
This strategy is based on our "Crypto Bot Signal 01 - Optimized RSI Momentum" indicator, so that you can apply and test this strategy to your charts/pairs.
The basic idea of this script is to compare a low sensitive RSI with a low sensitive smoothed RSI to find the sweet spot to buy. This strategy is relatively robust against false breakouts, even if these can of course never be avoided. These signals occur relatively rare, but you can set an alarm up on different pairs simultaneously. The strategy works best in 5 min chart and in crypto pairs. It wasnt tested in Forex etc. but feel free to test it.
We recommend to base your sell strategy on trailing stop-loss and not indicator based. A traling stop-loss arming at 1% and trailing stop-loss percentage at 0.3% works well. Our goal was it to reduce the average coin holding time to a minimum. We recommend this procedure cause we believe in the power of long term uptrending crypto, compounding and dont want to sell at a loss in a false breakout. But you can handel it like you prefere.
Feel free to adjust the parameters to your preferences:
- A lower value of the RSI and EMA length makes this indicator more sensitive
- A lower threshold value results in better trades but it reduces the amout of possible trades per day
- A higher threshold value results in more trades but the risk of false breakouts gets higher
We sell this indicator so it is invite only. But of cause you can test it before buying. Also you can freely test the strategy before. Simply check out our profil and look for "Crypto Bot Signal 01 Strategy - Optimized RSI Momentum".
If there are questions, write them into the comments or contact us directly over the direct message. Happy Trading!
BB™ Bot V.1BB Bot, uses volatility indicators, moving averages, MACD, and other complex technical indicators alike to plot the "Bull" and "Bear" signals on the chart. BB Bot is able to plot the "Bull" and "Bear" signals for stocks, crypto, forex, and futures. Personally, I like to use this strategy for swing trades as that is my preferred trading style, although you can use this for day trades as well. This indicator was made so can automatically get notified when my technical setup has occurred on a stock that I like.
Bear and Bull alerts can be easily set to any financial asset that you prefer.
Key:
Bull - Long
Bear - Short
If you have any suggestions as to how we can improve this indicator, please provide me with some feedback. I will be releasing more indicators for different trading styles specifically for lower time frames and such.
This indicator will be updated over time to compensate for user feedback.
If you have any questions feel free to comment/dm me here on TradingView.
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DISCLAIMER
IT SEEMS TO WORK WELL BUT STILL NO GUARANTEE ON PERFORMANCE.
RISK WARNING
PAST PERFORMANCE IS NOT NECESSARILY INDICATIVE OF FUTURE RESULTS. TRADERS SHOULD NOT BASE THEIR DECISION ON INVESTING IN ANY TRADING PROGRAM SOLELY ON THE PAST PERFORMANCE PRESENTED, ADDITIONALLY, IN MAKING AN INVESTMENT DECISION, TRADERS MUST ALSO RELY ON THEIR OWN EXAMINATION OF THE PERSON // OR ENTITY MAKING THE TRADING DECISIONS.
SAR Bollinger botThis bot based on SAR , Bollinger ,Pivot and modifiy Low scaner (on my page)
the buy and sell based on sar cross above or bellow the Bollinger
with more signals from the other indicator that I wrote above
for best result try to set up correctly the take profit
seems to be a good bot with no repaint
NIFTY BotMade this bot for my old friend from India that was with me in medical school many years ago:)
this bot have non security MTF
seems to be very good at long not so nuch at short
work best from 15-to 2 hor charts
can work on other stuff then Nifty
exit is by progressive take profit sethere to 1, 3,7,10%
where you take profit 1/4 each time you buy again
stop loss at 10%
you can change the buy sell system either by the non security MTF (this still need to be improved)
the real control is the Len which control the system which is based on similar logic to donchian channel with my modifications
So it set to 100, higher buy and sell less ,lower then that will buy and sell more. if you do so' try to figure best take profit to any change you do
i hope later i can put a study version as well
Crypto bot New versionOk this strategy is for those who want to take risks but to do it smartly
based on a modified version of as buy entry
the exit is mix of highest of pivot and fib level (similar to pivot bot that i put early but with my improve setup)
this bot is non repaint one as no security attach to it
set to 10% of lot and 10X levrage
it very good for longs (quite shity for shorts:)
the exit control by high time frame and the factor (set to 2.2)
the buy is control bu HTF
this is my setting for Ethereum
the take profit is set to take at each point 25% and then to move forward with it (5,10,20,30%)
in a bullish market as we are now this is logical setting. in bearish one you need to set your target lower
there is no repaint here
as you see the strategy start from 2018 when ether was around 1300 and despite what happen in the market it was making very decent profit
Risk management is key for winning so if you use my strategy be aware that this strategy is a very slow one but in long term seems to be very good
try to find the settings that suite you
use the factor to see if it make the exit better or worse
the strategy can work on other assets not just crypto but you need to find the best settings for it
ECG BotSo this is just a proff of concept. the name is ECG (it look similar:) as a Senior ER doctor (my daily work) I had to design something similar:) . so before i explain in detail. I need to ask you some questions? can we take change the way security work? no. can we control repaint ? no one know. maybe ? probably not:) .
So what the aim to do it? curiuosity ....and maybe to make something that actualy work?...
The ecg model is actualy a rsi where I took two MTF . one repainting , the other one is not . and then the difference between the repaint and the non repaint allow me to create the this special rsi. in the strategy you find ability of non repaint which will tell you that the non repaint version is totaly worthless and you will lose if you use it. on the other hand the repaint one is working as charm. but it still stupid repaint.
So in privoius strategy i try to control the repaint but sadly it was only partly working (look on test me and rsi bot in my scripts lists in my page.
here the aim was different: can i take out the strong repainting signals and remove the all the noise (those shity buy and sell that send us to bancrupcy:) ?
So first step was to slow down the close state so it still allow repaint but not as drastic as regular close state which totaly unpredictle.
once it done . i move to next step . which is to keep only the ones that are true signal , diregard the noise.
So how to operate this model?
the model will buy if ECG line pass upper treshold. will selll if pass lower treshold. stronger signal are seems to be real and weaker signal seems to be false. so the treshold is a way to seperate between the false and the true.
next you have repaint control - which need to be set at the same or above the candle you use. my setting are optimised for etherium 1 hour . if you use other asset or other chart time. then you need to configure where is the point where it the real signal will look similar or exact to the repaint one. for this you need to use the bar replay and see which treshold work the best to filter bad signals.
for BTC 1 hour candles. the setting will be different (repaint control 75 , upper treshold 75 and lower treshold -80)
for etherium it repaint control 60 and and upper =75,lower=-75
you can also find a way to control the smoothness which is set to 1,4,5 now. (fast ,slow,curve) . i preffer not so uch to touch this setting but more to play with the setting above in order to remove bad signals.
So this bot not intend to say it not repaint . no. it is. but its aim is to send to us only the strong repaint signal out. and removing the bad crazy ones out .
So if you have questions about it? just write me or put bellow and i try my best to figure out. you need to becarfull when you play with money so if you plan to invest using this signals make sure you check this system at list a week as demo before you put 1 cent on it. and use the bar repaly . in any case you need the bar replay for adjusting the treshold and the repaint control to find optimum of filter out option.
888 BOT #alerts█ 888 BOT #alerts
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' wich is calculated according with: '%EQUITY ON EACH ENTRY'. Only works with Stop Loss on 'NORMAL' or 'BOTH' mode.
'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.
█ ALERTS
There is an alert for each leverage, therefore a maximum of 8 alerts can be set for 'long' and 8 for 'short', plus an alert to close the trade with Take Profit or Stop Loss in market mode. You can also place Take Profit limit and Stop Loss limit orders a few seconds after filling the position entry order.
- 'MAXIMUM LEVERAGE': It is the maximum allowed multiplier of the % quantity entered on each entry for 1X according to the volume condition.
- 'ADVANCE ALERTS': There is always a time delay from when the alert is triggered until it reaches the exchange and can be between 1-15 seconds. With this parameter, you can advance the alert by the necessary seconds to activate it earlier. In this way it can be synchronized with the exchange so that the execution time of the entry order to the position coincides with the opening of the bar.
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 Bollinguer 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' que se calcula según el porcentaje de tu capital para 1X '% EQUITY ON EACH ENTRY'.
'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.
█ ALERTAS
Hay una alerta por cada apalancamiento por consiguiente como máximo se pueden poner 8 alertas para 'long' y 8 para 'short', más una alerta para cerrar el trade con Take Profit o Stop Loss en modo market. Tambien puedes colocar las ordenes Take Profit limit y Stop Loss limit unos segundos despues de rellenar la orden de entrada de la posición.
- 'MAXIMUM LEVERAGE': Es el máximo multiplicador permitido de la cantidad introducida para 1X según la condición de volumen.
- 'ADVANCE ALERTS': Siempre existe un retardo de tiempo desde que se activa la alerta hasta que llega al exchange y que puede ser de entre 1-15 segundos. Con este párametro se puede adelantar la alerta los segundos necesarios para que se active antes. De este modo se puede sincronizar con el exchange para que el tiempo de ejecución de la orden de entrada a la posición coincida con la de apertura de la barra.
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.
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.
