Combo Backtest 123 Reversal & Comparative Relative Strength This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
Comparative Relative Strength Strategy for ES
WARNING:
- For purpose educate only
- This script to change bars colors.
스크립트에서 "algo"에 대해 찾기
Total Trend Follow Strategy with Pyramid and DCA
Introduction
This is a Pine 4 trend following strategy. It has a twin study with several alerts. The design intent is to produce a commercial grade signal generator that can be adapted to any symbol and interval. Ideally, the script is reliable enough to be the basis of an automated trading system web-hooked to a server with API access to crypto, forex and stock brokerages. The strategy can be run in three different modes: long, short and bidirectional.
As a trend following strategy, the behavior of the script is to buy on strength and sell on weakness. As such the trade orders maintain its directional bias according to price pressure. What you will see on the chart is long positions on the left side of the mountain and short on the right. Long and short positions are not intermingled as long as there exists a detectable trend. This is extremely beneficial feature in long running bull or bear markets. The script uses multiple setups to avoid the situation where you got in on the trend, took a small profit but couldn’t get back in because the logic is waiting for a pullback or some other intricate condition.
Deep draw-downs are a characteristic of trend following systems and this system is no different. However, this script makes use of the TradingView pyramid feature accessible from the properties tab. Additional trades can be placed in the draw-down space increasing the position size and thereby increasing the profit or loss when the position finally closes. Each individual add on trade increases its order size as a multiple of its pyramid level. This makes it easy to comply with NFA FIFO Rule 2-43(b) if the trades are executed here in America. The inputs dialog box contains various settings to adjust where the add on trades show up, under what circumstances and how frequent if at all. Please be advised that pyramiding is an advanced feature and can wipe out your account capital if your not careful. During the backtest use modest setting with realistic capital until you discover what you think you can handle.
In addition to pyramiding this script employs DCA which enables users to experiment with loss recovery techniques. This is another advanced feature which can increase the order size on new trades in response to stopped out or winning streak trades. The script keeps track of debt incurred from losing trades. When the debt is recovered the order size returns to the base amount specified in the TV properties tab. The inputs for this feature include a limiter to prevent your account from depleting capital during runaway markets. The main difference between DCA and pyramids is that this implementation of DCA applies to new trades while pyramids affect open positions. DCA is a popular feature in crypto trading but can leave you with large “bags” if your not careful. In other markets, especially margin trading, you’ll need a well funded account and much experience.
Consecutive loss limit can be set to report a breach of the threshold value. Every stop hit beyond this limit will be reported on a version 4 label above the bar where the stop is hit. Use the location of the labels along with the summary report tally to improve the adaptability of system. Don’t simply fit the chart. A good trading system should adapt to ever changing market conditions. On the study version the consecutive loss limit can be used to halt live trading on the broker side (Managed manually).
Design
This script uses nine indicators on two time frames. The chart (primary) interval and one higher time frame which is based on the primary. The higher time frame identifies the trend for which the primary will trade. I’ve tried to keep the higher time frame around five times greater than the primary. The original trading algorithms are a port from a much larger program on another trading platform. I’ve converted some of the statistical functions to use standard indicators available on TradingView. The setups make heavy use of the Hull Moving Average in conjunction with EMAs that form the Bill Williams Alligator as described in his book “New Trading Dimensions” Chapter 3. Lag between the Hull and the EMAs form the basis of the entry and exit points. The alligator itself is used to identify the trend main body.
The entire script is around 1700 lines of Pine code which is the maximum incidental size given the TradingView limits: local scopes, run-time duration and compile time. I’ve been working on this script for over a year and have tested it on various instruments stocks, forex and crypto. It performs well on higher liquidity markets that have at least a year of historical data. Though it can be configured to work on any interval between 5 minutes and 1 day, trend trading is generally a longer term paradigm. For day trading the 10 to 15 minute interval will allow you to catch momentum breakouts. For intraweek trades 30 minutes to 1 hour should give you a trade every other a day. Four hours and above are for seasoned deep pocket traders. Originally, this script contained both range trading and trend following logic but had to be broken into separate scripts due to the aforementioned limitations.
Inputs to the script use cone centric measurements in effort to avoid exposing adjustments to the various internal indicators. The goal was to keep the inputs relevant to the actual trade entry and exit locations as opposed to a series of MA input values and the like. As a result the strategy exposes over 50 inputs grouped into long or short sections. Inputs are available for the usual minimum profit and stop-loss as well as safeguards, trade frequency, DCA, modes, presets, reports and lots of calibrations. The inputs are numerous, I’m aware. Unfortunately, at this time, TradingView does not offer any other method to get data in the script. The usual initialization files such as cnf, cfg, ini, json and xml files are currently unsupported.
Example configurations for various instruments along with a detailed PDF user manual is available.
Indicator Repainting And Anomalies
Indicator repainting is an industry wide problem which mainly occurs when you mix backtest data with real-time data. It doesn't matter which platform you use some form of this condition will manifest itself on your chart over time. The critical aspect being whether live trades on your broker’s account continue to match your TradingView study. Since this trading system is featured as two separate scripts, indicator repainting is addressed in the study version. The strategy (this script) is intended to be used on historical data to determine the appropriate trading inputs to apply in the study. As such, the higher time frame of this strategy will indeed repaint. Please do not attempt to trade from the strategy. Please see the study version for more information.
One issue that comes up when comparing the strategy with the study is that the strategy trades show on the chart one bar later than the study. This problem is due to the fact that “strategy.entry()” and “strategy_exit()” do not execute on the same bar called. The study, on the other hand, has no such limitation since there are no position routines. However, alerts that are subsequently fired off when triggered in the study are dispatched from the TradingView servers one bar later from the study plot. Therefore the alert you actually receive on your cell phone matches the strategy plot but is one bar later than the study plot. A lot can happen in four hours if you are trading off a 240 bar.
Please be aware that the data source matters. Cryptocurrency has no central tick repository so each exchange supplies TradingView its feed. Even though it is the same symbol the quality of the data and subsequently the bars that are supplied to the chart varies with the exchange. This script will absolutely produce different results on different data feeds of the same symbol. Be sure to backtest this script on the same data you intend to receive alerts for. Any example settings I share with you will always have the exchange name used to generate the test results.
Usage
The following steps provide a very brief set of instructions that will get you started but will most certainly not produce the best backtest. A trading system that you are willing to risk your hard earned capital will require a well crafted configuration that involves time, expertise and clearly defined goals. As previously mentioned, I have several example configs that I use for my own trading that I can share with you along with a PDF which describes each input in detail. To get hands on experience in setting up your own symbol from scratch please follow the steps below.
The input dialog box contains over 50 inputs separated into seven sections. Each section is identified as such with a makeshift separator input. There are three main areas that must to be configured: long side, short side and settings that apply to both. The rest of the inputs apply to pyramids, DCA, reporting and calibrations. The following steps address these three main areas only. You will need to get your backtest in the black before moving on to the more advanced features
Step 1. Setup the Base currency and order size in the properties tab.
Step 2. Select the calculation presets in the Instrument Type field.
Step 3. Select “No Trade” in the Trading Mode field.
Step 4. Select the Histogram indicator from section 3. You will be experimenting with different ones so it doesn’t matter which one you try first.
Step 5. Turn on Show Markers in Section 3.
Step 6. Go to the chart and checkout where the markers show up. Blue is up and red is down. Long trades show up along the blue markers and short trades on the red.
Step 7. Make adjustments to Base To Vertex and Vertex To Base net change and roc in section 3. Use these fields to move the markers to where you want trades to be. Blue is long and red is short.
Step 8. Try a different indicator from section 3 and repeat Step 7 until you find the best match for this instrument on this interval. This step is complete when the Vertex settings and indicator combination produce the most favorable results.
Step 9. Turn off Show Markers in Section 3.
Step 10. Enable the Symmetrical and Deviation calculation models at the top of section 5 and 6 (Symmetrical, Deviation).
Step 11. Put in your Minimum Profit and Stop Loss in the first section. This is in pips or currency basis points (chart right side scale)
Step 12. Return to step 3 and select a Trading Mode (Long, Short, BiDir, Flip Flop). If you are planning to trade bidirectionally its best to configure long first then short. Combine them with BiDir or Flip Flop after setting up both sides of the trade individually.
Step 13. Trades should be showing on the chart.
Step 14. Make adjustments to the Vertex fields in section 3 until the TradingView performance report is showing a profit.
Step 15. Change indicators and repeat step 14. Pick the best indicator.
Step 16. Use the check boxes in sections 5 and 6 to improve the performance of each side.
Step 17. Try adding the Correlation calculation model to either side. This model can sometimes produce a negative result but can be improved by enabling “Adhere To Markers” or “Narrow Correlation Scope” in the sections 5 and 6.
Step 18. Enable the reporting conditions in section 7. Look for long runs of consecutive losses or high debt sequences. These are indications that your trading system cannot withstand sudden changes in market sentiment.
Step 19. Examine the chart and see that trades are being placed in accordance with your desired trading model.
Step 20. Apply the backtest settings to the study version and perform forward testing.
This script is open for beta testing. After successful beta test it will become a commercial application available by subscription only. I’ve invested quite a lot of time and effort into making this the best possible signal generator for all of the instruments I intend to trade. I certainly welcome any suggestions for improvements. Thank you all in advance.
Combo Backtest 123 Reversal & EMA & Volume WeightingThis is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
The related article is copyrighted material from Stocks & Commodities 2009 Oct
WARNING:
- For purpose educate only
- This script to change bars colors.
Combo Backtest 123 Reversal & DMI & Moving Average This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
The related article is copyrighted material from Stocks & Commodities Aug 2009
WARNING:
- For purpose educate only
- This script to change bars colors.
[VIP] Long/Short Strategy 79-80 Profit Percentage or even moreThis is using Toolkit buy and sell:
You have 7 days trial, so you should make sure that you make a profit instead of loss
We have 4 strategies named 01, 02, 03, 04 and will be added more soon
Disclaimer
Tested from 3 minutes to 1 Day time frame
Possible repainting because I use security function
I use Pinescript v4
barmerge.gaps is disabled
barmerge.lookahead is enabled
Configuration
Intense Level: default is 6, to provide signal frequency to the chart, the lower number will return more signal, the image is 3, means more attentions or actions*] Possible repainting because I use security function
Custom Timeframe: default is using chart time frame, to calculate signal based on different timeframes without change the chart time frame.
Strategy: Other approaches long or short algorithm
Kase Dev Stops Backtest The Kase Dev Stops system finds the optimal statistical balance between letting profits run,
while cutting losses. Kase DevStop seeks an ideal stop level by accounting for volatility (risk),
the variance in volatility (the change in volatility from bar to bar), and volatility skew
(the propensity for volatility to occasionally spike incorrectly).
Kase Dev Stops are set at points at which there is an increasing probability of reversal against
the trend being statistically significant based on the log normal shape of the range curve.
Setting stops will help you take as much risk as necessary to stay in a good position, but not more.
WARNING:
- For purpose educate only
- This script to change bars colors.
Combo Backtest 123 Reversal & CMOfilt This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
This indicator plots a CMO which ignores price changes which are less
than a threshold value. CMO was developed by Tushar Chande. A scientist,
an inventor, and a respected trading system developer, Mr. Chande developed
the CMO to capture what he calls "pure momentum". For more definitive
information on the CMO and other indicators we recommend the book The New
Technical Trader by Tushar Chande and Stanley Kroll.
The CMO is closely related to, yet unique from, other momentum oriented
indicators such as Relative Strength Index, Stochastic, Rate-of-Change, etc.
It is most closely related to Welles Wilder`s RSI, yet it differs in several ways:
- It uses data for both up days and down days in the numerator, thereby directly
measuring momentum;
- The calculations are applied on unsmoothed data. Therefore, short-term extreme
movements in price are not hidden. Once calculated, smoothing can be applied to the
CMO, if desired;
- The scale is bounded between +100 and -100, thereby allowing you to clearly see
changes in net momentum using the 0 level. The bounded scale also allows you to
conveniently compare values across different securities.
WARNING:
- For purpose educate only
- This script to change bars colors.
CS Trading Bot Strategy - Crypto EditionWhat is this strategy about?
The CS Trading Bot Strategy is for researching the most lucrative Crypto assets to be selected for in the corresponding Study (that actually generates alerts/signals).
The Strategy is very profitable for a vast amount of Crypto assets and the algorithm behind is not overfitted.
How to use it?
As a rule of thumb, the best time-frames are the 4h, 3h, 2h and 1h (sometimes 30M and 45M).
For many high profile/volume assets such as BTC, ETH and XRP the Daily is very profitable, as well. Weekly and Monthly time-frames should be avoided.
It is not recommended to apply this strategy to new assets with only a few weeks of history. I recommend a history of at least 6 months and 5 trades in the Strategy stats.
In the Strategy settings, you can adjust the time-span to see how the Strategy performs in certain conditions like bear-markets (see for example 4H on BTCUSDT from Jan 2018 - March 2019).
What to look for on researching?
If you are researching, make sure to look for these metrics in the Strategy overview:
Linear equity growth (especially over a larger period of time)
Low drawdown
Profitability above 50%
Average gain per trade of 5%
A satisfying profit for your selected time-span
Min. 5 trades, better 10
Min. 6 Months time-span
As a head-start, I suggest to research on the following assets, so you get a feeling about what to look for based on the list above:
POLONIEX:BTCUSDT
POLONIEX:ETHUSDT
POLONIEX:XRPUSDT
Why Poloniex? Because it has a long history for these assets...
Once you determined your favorite assets, you are ready to add the corresponding Study and within, set alerts for them.
Here the Webhooks are very interesting as you can forward your signals to your own trading bot or simply wait until my trading bot is available (currently in development)
Since I develop myself, rest assured it will be available soon. Look out for comments below as soon as it is available!
The bot is a commercial package including:
This Strategy for finding the best assets
The Study for setting alerts based on the best assets (webhooks, emails, popups, etc)
Access to our automated trading bot (separate download, as soon as available)
How to access?
If you are interested to get access to the complete package, please don't hesitate to send me a private message for a quote.
The amount of concurrent users using the package (=licenses) is limited to max. 500 a month (more we cannot manually handle has Tradingview has no automation for this yet).
Access to the bot package is based on a monthly basis. If you get access, you will asked in person at the end of the month if you want to continue or not.
Combo Backtest 123 Reversal & CMOav This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
This indicator plots average of three different length CMO's. This indicator
was developed by Tushar Chande. A scientist, an inventor, and a respected
trading system developer, Mr. Chande developed the CMO to capture what he
calls "pure momentum". For more definitive information on the CMO and other
indicators we recommend the book The New Technical Trader by Tushar Chande
and Stanley Kroll.
The CMO is closely related to, yet unique from, other momentum oriented
indicators such as Relative Strength Index, Stochastic, Rate-of-Change, etc.
It is most closely related to Welles Wilder?s RSI, yet it differs in several ways:
- It uses data for both up days and down days in the numerator, thereby directly
measuring momentum;
- The calculations are applied on unsmoothed data. Therefore, short-term extreme
movements in price are not hidden. Once calculated, smoothing can be applied to
the CMO, if desired;
- The scale is bounded between +100 and -100, thereby allowing you to clearly see
changes in net momentum using the 0 level. The bounded scale also allows you to
conveniently compare values across different securities.
WARNING:
- For purpose educate only
- This script to change bars colors.
Combo Backtest 123 Reversal & CMOabsThis is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
This indicator plots the absolute value of CMO. CMO was developed by Tushar
Chande. A scientist, an inventor, and a respected trading system developer,
Mr. Chande developed the CMO to capture what he calls "pure momentum". For
more definitive information on the CMO and other indicators we recommend the
book The New Technical Trader by Tushar Chande and Stanley Kroll.
The CMO is closely related to, yet unique from, other momentum oriented indicators
such as Relative Strength Index, Stochastic, Rate-of-Change, etc. It is most closely
related to Welles Wilder`s RSI, yet it differs in several ways:
- It uses data for both up days and down days in the numerator, thereby directly
measuring momentum;
- The calculations are applied on unsmoothed data. Therefore, short-term extreme
movements in price are not hidden. Once calculated, smoothing can be applied to
the CMO, if desired;
- The scale is bounded between +100 and -100, thereby allowing you to clearly see
changes in net momentum using the 0 level. The bounded scale also allows you to
conveniently compare values across different securities.
WARNING:
- For purpose educate only
- This script to change bars colors.
Cyber Momentum StrategyStrategy base on the PRISM Oscillators Set as it foundation, with stop-loss algorithm integrated.
~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~
Note:
In no way is this intended as a financial/investment/trading advice. You are responsible for your own investment decisions and trades.
Please exercise your own judgement for your own trades base on your own risk-aversion level and goals as an investor or a trader. The use of OTHER indicators and analysis in conjunction (tailored to your own style of investing/trading) will help improve confidence of your analysis, for you to determine your own trade decisions.
~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~
Please check out my other indicators sets and series, e.g.
LIVIDITIUM (dynamic levels),
AEONDRIFT (multi-levels standard deviation bands),
FUSIONGAPS (MA based oscillators),
MAJESTIC (Momentum/Acceleration/Jerk Oscillators),
PRISM (pSAR based oscillator, with RSI/StochRSI as well as Momentum/Acceleration/Jerk indicators),
PDF (parabolic SAR /w HighLow Trends Indicator/Bar-color-marking + Dynamic Fib Retrace and Extension Level)
and more to come.
Constructive feedback and suggestions are welcome.
To continue to keep this strategy free to use, especially if it has benefited your trades, please consider tipping a little of any gains you've made to my HRT fund. =D
cybernetwork @ EOS
37DzRVwodp5UZBYjCKvVoZ5bDdDqhr7798 @ BTC
MPr8Zhmpsx2uh3F5R4WD98MRJJpwuLBhA3 @ LTC
1Je6c1vvSCW7V2vA6RYDt6CEvqGYgT44F4 @ BCH
AS259bXGthuj4VZ1QPzD39W3ut4fQV5giC @ NEO
rDonew8fRDkZFv7dZYe5w3L1vJSE51zFAx @ Ripple XRP
0xc0161d27201914FC0bAe5e350a193c8658fc4742 @ ETH
GAX6UDAJ52OGZW4FVVG3WLGIOJLGG2C7CTO5ZDUK2P6M6QMYBJMSJTDL @ Stellar XLM
xrb_16s8cj8eoangfa96shsnkir3wctdzy76ajui4zexek6xmqssweu85rdjxrt4 @ Nano
~ JuniAiko
(=^~^=)v~
Cyber Ensemble StrategyStrategy base on CYBER ENSEMBLE , with stop-loss algorithm integrated.
~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~
Note:
In no way is this intended as a financial/investment/trading advice. You are responsible for your own investment decisions and trades.
Please exercise your own judgement for your own trades base on your own risk-aversion level and goals as an investor or a trader. The use of OTHER indicators and analysis in conjunction (tailored to your own style of investing/trading) will help improve confidence of your analysis, for you to determine your own trade decisions.
~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~ * ~
Please check out my other indicators sets and series, e.g.
LIVIDITIUM (dynamic levels),
AEONDRIFT (multi-levels standard deviation bands),
FUSIONGAPS (MA based oscillators),
MAJESTIC (Momentum/Acceleration/Jerk Oscillators),
PRISM (pSAR based oscillator, with RSI/StochRSI as well as Momentum/Acceleration/Jerk indicators),
PDF (parabolic SAR /w HighLow Trends Indicator/Bar-color-marking + Dynamic Fib Retrace and Extension Level)
and more to come.
Constructive feedback and suggestions are welcome.
To continue to keep this strategy free to use, especially if it has benefited your trades, please consider tipping a little of any gains you've made to my HRT fund. =D
cybernetwork @ EOS
37DzRVwodp5UZBYjCKvVoZ5bDdDqhr7798 @ BTC
MPr8Zhmpsx2uh3F5R4WD98MRJJpwuLBhA3 @ LTC
1Je6c1vvSCW7V2vA6RYDt6CEvqGYgT44F4 @ BCH
AS259bXGthuj4VZ1QPzD39W3ut4fQV5giC @ NEO
rDonew8fRDkZFv7dZYe5w3L1vJSE51zFAx @ Ripple XRP
0xc0161d27201914FC0bAe5e350a193c8658fc4742 @ ETH
GAX6UDAJ52OGZW4FVVG3WLGIOJLGG2C7CTO5ZDUK2P6M6QMYBJMSJTDL @ Stellar XLM
xrb_16s8cj8eoangfa96shsnkir3wctdzy76ajui4zexek6xmqssweu85rdjxrt4 @ Nano
~ JuniAiko
(=^~^=)v~
CYBER ENSEMBLE
DAX Shooter 5M StrategyThis is a simple strategy that applies very well for scaling indices to 5 minutes especially for the DAX. The algorithm provides for buying or selling when the market is very "pulled". The rules are as follows:
you buy when:
1- The ADX indicator with the standard settings is greater than 32.
2- the RSI indicator set to 7 periods is crossing upwards the oversold line at 30
3- the candle minimum is lower than the lower band of bollinger bands set to 50 periods.
is sold when:
1- ADX indicator with standard settings is greater than 32.
2 - the RSI indicator set to 7 periods is crossing downwards the overbought line at 70
3- the maximum of the candle is higher than the upper band of the bollinger bands set to 50 periods.
Money management is at the discretion of the trader but usually it is better to set a fixed stop loss and a take profit on reaching the opposite bollinger band.
Enjoy trading at all!
QuantCat Mom Finder Strategy (1H)QuantCat Momentum Finder Strategy
This strategy is designed to be used on the 1 hour time frame, on all x/btc pairs.
The beautiful thing is it plots the take profit, and stoploss for you for each entry- where I would say use the stoploss for sure and feel with water with how the price action is looking when in profit.
In this strategy, I actually implemented my own trading style into building the strategy. Having to replicate my own trading strategy into an algorithm, I can't make it exactly perfect to how I would trade, but what I can do is try and program the parameters that give it the absolute best chance of making a big move with a small drawdown- which replicates part of my momentum trading style. Here I am using RSI, MACD, EMA and trend filtering values to find moments where there has been a momentum change to play the rest of the move. It only picks the best entries.
There is always a 3-4 R/R move on average with with these trades, meaning 1 in 4 only need to hit to be a break even trader- where most of these strategies have about 35% hit rate.
The stoploss is so crucial to minimise any damage from huge unexpected candles, the strategies can just be used for entries as well, you don't have to stick to the exact formula- of the long and short system, but this by itself is profitable.
The system nets positive results on
-ETH/BTC
-LTC/BTC
-XRP/BTC
-ADA/BTC
-NEO/BTC etc.
We also have a free 15M strategy available too.
You can join our discord server to get live alerts for the strategy as well as speak to our devs! Link in signature below!!!
DAKELAX-XRPUSDT Bollinger Band Strategy for TradebotlerDAKELAX-XRPUSDT is a Tradebotler strategy designed to run on XRPUSDT for binance, it's a simple reverse to mean strategy and when backtested on may-aug 2019 on H1 timeframe it performs pretty well in backtest as well as running live.
In order to get started install the Tradebotler extension and connect the strategy with Binance or other crypto exchanges of your choice such as Kraken, Bitstamp, Bitmex, Bittrex, Polyneux etc, etc.
Combo Backtest 123 Reversal & CMO & WMA This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
This indicator plots Chande Momentum Oscillator and its WMA on the
same chart. This indicator plots the absolute value of CMO.
The CMO is closely related to, yet unique from, other momentum oriented
indicators such as Relative Strength Index, Stochastic, Rate-of-Change,
etc. It is most closely related to Welles Wilder?s RSI, yet it differs
in several ways:
- It uses data for both up days and down days in the numerator, thereby
directly measuring momentum;
- The calculations are applied on unsmoothed data. Therefore, short-term
extreme movements in price are not hidden. Once calculated, smoothing
can be applied to the CMO, if desired;
- The scale is bounded between +100 and -100, thereby allowing you to clearly
see changes in net momentum using the 0 level. The bounded scale also allows
you to conveniently compare values across different securities.
WARNING:
- For purpose educate only
- This script to change bars colors.
Global Market Signals: Is the Trend Your Friend? AlgorithmWelcome!
This is a fully customizable strategy to help generate great trade signals as well as provide basic analysis on any market of your choice. All the trades occur at the open of a candle.
Settings:
1. Long or Short
2. Look back length
3. New Highs or New Lows?
4. Trade Duration
5. Trend SMA Length
6. Above or Below Trend SMA
Example:
Using a Daily SPY chart.
The Default Settings are:
1. Long
2. 10
3. New Lows
4. 5
5. 200
6. Above
What this means is that you will be going long when there is a new 10 day lowest close, you'll hold the trade for 5 days, and the trades only occur above the 200 day simple moving average.
**When you test your settings, make sure that in the Properties tab, you have the "Order Size" set at 100 and in the drop down menu to the right, make sure "% of equity" is selected.**
JackTrendChaser V3Hi everyone! I am so thrilled to announce this!
>> LIMITED TIME OFFER, read below! <<
My name is Jack and I have been trading trends using TA on Forex for 10 years now and have within the past two years been trading Bitcoin and other cryptocurrencies.
I am a part time trader and developer. On a daily basis I work as a software developer creating various algorythms for big data usage - such as machine learning etc. and I have found a passion in creating scripts to predict major trend moves. Which is why I would like to share this script (strategy) with you all!
Looking at the stats it looks amazing! 100% profitability - who doesn't want that?! But that doesn't mean it cannot be improved - I am daily looking into how I can improve this to become even more profitable.
Currently the script have been tested with BTC and ETH:
BTC = 100% profitability and 9 trades since 2016
ETH = 83% profitability and 6 trades since 2016 with a drawdown of $5.
Now - 9 and 6 trades since 2016 isn't many trades but it suites my way of trading perfectly! I aim for the major trends and try to hit the pullbacks as soon as possible.
You can use this script alone or with other complimenting indicators. I like to draw some support and resistance levels for even further verification.
TRIAL OFFER:
Everyone is offered a 15 days trail.
Let me know in the comments if you would like a trail. Please do not PM me for trails.
>> LIMITED TIME OFFER <<
Since this is my first script to publish on TradingView I am offering the FIRST 10 traders a LIFETIME access to the script for a very small price! After that everyone else will be able to buy acces for 1m, 6m, 1y or lifetime (but at a higher price).
So how do you become one of the first 10?! Simpel - just PM me for the details.
I will update this post when the first 10 has been chosen.
>> OBS: I might be away from TradingView up to 24hours at a time because of my job - but don't panic! I will keep track of every message and get back to everyone as soon as possible!
Best regards
Jack
QuantCat 1H Momentum Strategy [Crypto]**NOTE: IF YOU DO NOT OWN TRADINGVIEW PRO YOUR STRATEGIES WILL TAKE DATA FROM A SMALLER SAMPLE SIZE, AND THUS GIVE LESS ACCURATE BACKTESTING RESULTS TO THE ONES WE SHOW (LINKS WITH STEP 3) AND OPTIMISED OUR STRATEGIES WITH**
QuantCat 15M Crypto Trend Strategy
This strategy will allow you to absolutely smash the Crypto/BTC pairs with a high hit rate and incredible risk/reward. We have optimised this strategy to work best for the x/BTC pairs on the 1H minute time frame. There are 7 pairs that we optimised the strategy to work for. There are a few main steps are as follows to use the strategy in it's most efficient manner-
1. Recommended % of equity per trade = 10-50%.
2. 1H Minute time frame needs to be applied (obvious, we know).
3. Pairs we used to optimise and backtest the strategy should ideally be used when using the strategy-
ETH/BTC - prntscr.com
XRP/BTC - prntscr.com
LTC/BTC - prntscr.com
BNB/BTC - prntscr.com
ADA/BTC - prntscr.com
NEO/BTC - prntscr.com
EOS/BTC - prntscr.com
We have a list of Visual and Technical features that are implemented into our strategy to make sure it is easy to use, consistent and giving it the highest chance of being profitable.
Visual Features
Colored Candles- aesthetics to notify you of an alert.
Stop Loss Horizontal Line- a red line to show you where the stop-loss has been placed.
Take Profit Line- horizontal line to show your where you take profits
Technical Features
Trend filtering- Our algorithm prevents signals being created in sideways periods to mitigate the chance of fake outs and larger run ups.
Momentum confirmation- Every time a position is entered; strict conditions have been met to maximize the chance of predicting the right move.
If you have discord alerts access, be sure to watch out in the discord for entries!
QuantCat 15M Trend Strategy [Crypto]**NOTE: IF YOU DO NOT OWN TRADINGVIEW PRO YOUR STRATEGIES WILL TAKE DATA FROM A SMALLER SAMPLE SIZE, AND THUS GIVE LESS ACCURATE BACKTESTING RESULTS TO THE ONES WE SHOW (LINKS WITH STEP 3) AND OPTIMISED OUR STRATEGIES WITH**
QuantCat 15M Crypto Trend Strategy
This strategy will allow you to absolutely smash the Crypto/USD pairs. We have optimised this strategy to work best for the Crypto/USD pairs on the 15 minute time frame. There are 4 pairs that we optimised the strategy to work for. There are a few main steps are as follows to use the strategy in it's most efficient manner-
1. Pyramiding orders needs to be set to 2 for maximum efficiency of the strategy due to aggressive and conservative entries, recommended % of equity per trade = 10-50%.
2. 15 Minute time frame needs to be applied (obvious, we know).
3. Pairs we used to optimise and backtest the strategy should ideally be used when using the strategy-
BTC/USD - prntscr.com
LTC/USD - prntscr.com
BCH/USD - prntscr.com
ETH/BTC - prntscr.com
XRP/BTC - prntscr.com
LTC/BTC - prntscr.com
We have a list of Visual and Technical features that are implemented into our strategy to make sure it is easy to use, consistent and giving it the highest chance of being profitable.
Visual Features
Colored candles- a visual to notification of an entry.
Stop-loss line- a horizontal red line to show the user where the stop-loss has been placed. Our testing proved a horizontal stop was more profitable than implementation of a trailing.
Price Bands- a dynamic price band to show the direction of the trend and support zones.
Technical Features
Trend Confirmation- Our algorithm fires entries only on trend confirmation and looks to trade the move for as long as it can, while also filtering out any false entries.
Aggressive and Conservative Entries- Two different types of entries have been incorporated in the strategy to maximise profit.
If you have discord alerts access, be sure to watch out in the discord for entries!
Kairos [Backtester]Kairos bot looks for the opportune time to buy low and sell high at targets
It provides signals to open and close trades, and indicates favorable positions for a stop loss and profit taking
The Kairos bot can be used on any chart and on any time frame
---BACKTESTER---
Using the backtester script the user can look at a chart's history between selected dates to find optimal bot settings and optimal time frames
The backtester is based on general percentages for profit taking as indicated below:
-------------T1 T2 T3 T4 T5 T6 CLOSE
1 Target: 50% 50%
2 Targets: 50% 25% 25%
3 Targets: 40% 30% 20% 10%
4 Targets: 40% 25% 20% 10% 5%
5 Targets: 35% 25% 20% 10% 5% 5%
6 Targets: 30% 25% 20% 10% 5% 5% 5%
ie: If 2 targets are selected:
- 50% of investment will be taken at target 1
- 25% of investment will be taken at target 2
- and the remainder 25% will be taken when the trade is closed on a close signal
However, it is up to the user's own risk appetite to determine where and how much profit to take
Note that the backtester does not have any on screen indicators other than OPEN and CLOSE, however profit taking can be indicated by ticking the Style -> Trades on Chart tick box on the settings userform
---SIGNALS---
The signals script can be used for automation and can indicate up to 6 potential Profit Targets, as well as a Stop Loss based on how many bars back needs to be taken into consideration
The signals (Open/Close) can be automated using TradingView alerts, however the Stop Loss and Profit Taking are only indicators and are for the users own interpretation
The user does not have to place a Stop Loss or take profit at the Targets if so wished, the bot can be used to simply buy on an OPEN signal and sell on a CLOSE signal, however, the backtester will indicate that it is far more profitable to take profits.
It is advised to take profits just below indicated Targets as these are potentially high selling zones and price action can sometimes turn down just short of these targets.
---INVITE-ONLY SCRIPT---
This is an invite-only script, so if you would like to try out Kairos Bot, send me a message
QuantCat 15M Crypto Trend StrategyQuantCat 15M Crypto Trend Strategy
This strategy will allow you to absolutely smash the Crypto/USD pairs. We have optimised this strategy to work best for the Crypto/USD pairs on the 15 minute time frame. There are 4 pairs that we optimised the strategy to work for. There are a few main steps are as follows to use the strategy in it's most efficient manner-
1. Pyramiding orders needs to be set to 2 for maximum efficiency of the strategy.
2. 15 Minute timeframe needs to be applied (obvious, we know)
3. Pairs we used to optimise and backtest the strategy should ideally be used when using the strategy-
BTC/USD
ETH/USD
LTC/USD
BCH/USD
We have a list of Visual and Technical features that are implemented into our strategy to make sure it is easy to use, consistent and giving it the highest chance of being profitable.
Visual Features
Colored candles- a visual to notification of an entry.
Stop-loss line- a horizontal red line to show the user where the stop-loss has been placed. Our testing proved a horizontal stop was more profitable than implementation of a trailing.
Price Bands- a dynamic price band to show the direction of the trend and support zones.
Technical Features
Trend Confirmation- Our algorithm fires entries only on trend confirmation and looks to trade the move for as long as it can, while also filtering out any false entries.
Aggressive and Conservative Entries- Two different types of entries have been incorporated in the strategy to maximise profit.
If you have discord alerts access, be sure to watch out in the discord for entries!
Combo Backtest 123 Reversal & Chande Forecast Oscillator This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
The Chande Forecast Oscillator developed by Tushar Chande The Forecast
Oscillator plots the percentage difference between the closing price and
the n-period linear regression forecasted price. The oscillator is above
zero when the forecast price is greater than the closing price and less
than zero if it is below.
WARNING:
- For purpose educate only
- This script to change bars colors.
