Wave Trend AlgoA NRTH_ Premium Double Trend Confirmation Algo
Comes included with the Premium Package.
Indicator features
Built-In Alerts
Visual Risk Management
Customizable Entry Rules
Usage Tips
This strategy works on timeframes as low as 15m, however not recommended for scalping with high fees.
Best performance with high Risk/Reward Ratios
The double trend confirmation (1 slow, 1 fast) uses lagging trend confirmation to your advantage, Identify confirmed moves and enter trades with high RR for the best results.
Works for all markets with the ability to customize to your liking.
Backtesting Results Info
Period 1/1/2021-1/10/2021
Entry value at $1000 with 100x leverage
ATR Exits : 1:3.3 RR
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Disclaimer
Copyright NRTH_ Indicators 2021.
NRTH_ and all affiliated parties are not registered as financial advisors. The products & services NRTH_ offers are for educational purposes only and should not be construed as financial advice. You must be aware of the risks and be willing to bear any level of risk to invest in financial markets. Past performance is not necessarily indicative of future results. NRTH_ and all individuals associated assume no responsibility for your trading results or investments.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, or individual’s trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Analisi trend
Pullback AlgoFlagship NRTH_ Premium Strategy
Comes included with the Essentials or Premium Package.
Indicator features
Built-In Alerts
Visual Risk Management
Customizable Entry Rules
Usage Tips
This strategy is designed for Swing Trading and Intra-Day timeframes (1hr+)
The algo targets pullbacks in an up or down-trending scenario allowing for multiple entries in a strong trending market.
Works for all markets with the ability to customize to your liking.
Backtesting Results Info
Period 1/1/2021-1/10/2021
Entry value at $1000 with 10x leverage
Binance standard taker fee rate (0.04%)
ATR Exits : 1:2 RR
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Disclaimer
Copyright NRTH_ Indicators 2021.
NRTH_ and all affiliated parties are not registered as financial advisors. The products & services NRTH_ offers are for educational purposes only and should not be construed as financial advice. You must be aware of the risks and be willing to bear any level of risk to invest in financial markets. Past performance is not necessarily indicative of future results. NRTH_ and all individuals associated assume no responsibility for your trading results or investments.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, or individual’s trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
© Investoz Monthly Overlook Strategy“The best time to get involved with cyclicals is when the economy is at its weakest, earnings are at their lowest, and public sentiment is at its bleakest.”
Peter Lynch
Before I begin, read the following.
Important! The script for this strategy is only intended to work correctly for the monthly time period and does not work for other time periods, as it is based on monthly data.
The strategy
This strategy is simple and based on monthly buy and sell. However, the strategy is only intended to go long and no short positions are therefore possible.
This strategy is perfectly suited for all indices, but also for cyclical companies and cyclical markets.
Monthly analysis
You do not need to use this strategy for a buying signal only. You can use this for a more comprehensive analysis of how return per month has looked historically. It's easy to analyze, by flipping through all the months of the year. You will see average return per month, but also the largest return and decrease for each individual month.
It is also possible to choose between which time periods you want to analyze. You can go all the way back to the year 1900.
This is necessary if you are going to analyze markets that have a long historical data to analyze.
How it works
1. Start by choosing which time period the analysis or strategy should apply between.
2. Choose which month the first and second buy will be valid from. Here it is important to know that depending on which month you choose, is meant a buy after the current month's closing.
Example: 1 = January. Buy will therefore be after January closes, ie the first trading day in February. It will be displayed as 1st trading day in February. If you only want one buy option, then choose the same month for both first and second buy.
3. Choose which month the first and second sell will be valid from. The same applies here as above.
4. Choose money management according to the criteria that suit you and press "OK".
Result
Based on the choices you have made, you will now get a result of how the strategy has performed over the given period. You will be able to read following data.
Data
Start Capital -the trading capital you have from the beginning.
Actual Capital -the current trading capital you have at the moment.
Growth -percentage growth over the total trading period.
Annual growth -average return for the chosen period.
Profit factor -the profit factor looks at the total gains and losses.
Payoff ratio -looks at the average profit and loss.
Expectancy per trade -the expected profit or loss of a single trade.
Expectancy in total based on number of trades -the expected profit or loss for all the trades made.
Expectancy ratio -the power of an edge. With this, you are always looking for a positive expectancy to show you that the trade is profitable.
Expectancy % -the expected return in percentage based on all the trades
Maximun drawdown -drawdown for a single trade based on current trading capital
Fractional Kelly Criterion -the optimal amount to invest based on the strategy and multiplying it by a certain fraction (%). This results in less volatile returns and a lower chance of the account balance hitting zero.
Kelly % -percentage of capital to be put into a single trade.
Risk of ruin -the chance that you will lose all the amount you typed in for "Maximum loss of portfolio".
Conclusion
It is important to know if you have an edge in your strategy and above all to understand risk. With the help of all this information, it will therefore be easier to adapt the risk to the strategy, not the other way around. This approach applies to all types of strategies. Be aware of the risk, first!
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DISCLAIMER
Any data and information is provided 'as is' solely for informational purposes, and is not intended for trading purposes or advice. Past performance is not indicative of future results.
Educate yourself on the risks associated with trading, and seek advice from an independent financial or tax advisor if you have any questions.
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Algo Trading Strategy (Nifty & BankNifty)What is Algo Trading Strategy ( Nifty & Bank Nifty )?
There are many 9 to 5 working professionals who have some spare money to invest each month but they can not do active trading because they are busy with their full time job.
So they wish to have an automated system which could take and close trades for them with a proven back-tested strategy, proper money management, ability to trade within particular timings, pre-defined maximum loss they can bear and so on.
To cater needs of such type of traders, we created from scratch; and published an 'AutoTrading Algo (Nifty & Bank Nifty) in Sep 2021. (The link is given below, please read on).
Many people who want to try this AutoTrading Algo want us to share stats of this algo with them.
In order to fulfil this demand, we have converted that "Algo Trading" Study into a Strategy whose description you are reading right now.
For all other queries related to how our "Algo Trading (Nifty & Bank Nifty)" works, what are its limitations, benefits and other features, please read the description of our main 'Algo Trading (Bank Nifty & Nifty )' study which is available at following link:
Note:
1. in order to test this strategy on longer time period, you must have a Premium TradingView account.
2. If you have premium TradingView account, the stats you generate will exactly match with our stats which we keep sharing in our channel.
3. To Enable Auto-Trading, You will need to connect this Algo with your broker's trading platform through 3rd party platforms. We will guide you on how to do this, when you contact us.
SQV CrossThis strategy is used to find tickers that do well when SPY and QQQ are up and VIX is down. This uses EMA's on the user defined resolution to define direction of each ticker. Trades are entered upon crossover. EMAs are user defined as well.
MA&AOThat is quit simple strategy, which combines only two indicators: AO and MA. The logic of trades is also clear, when AO is bullish; slow ma is under the close price; fast ma > slow ma - buy.
8 Day Extended Runs Inspired by Linda Bradford Raschke.
Strategy suited to the US T-note (ZN1!) with a t-test of 4.06.
The 5 day SMA is vital to Linda’s trend identification system. She’s done extensive testing and research using this indicator and has built models based on it. Linda used the 5 day SMA to determine that large outlier price moves happen in the direction of the trend in each market about 9-10 times per year. The powerful part about that number is that when the trend does persist, it can go on a long run, making this a trade with a high expected value.
Note: the current exit criteria is sell 10 days after entry, users should experiment with different stop placements.
BarUpDn Long StrategyThis is a bar up/down strategy for going long only where you can specify how many bars up to buy and how many bars down to sell. It also has code to check and make sure the condition is still true when launching the official alert, which helps back testing and live results line up, however be sure to enter commission and slippage into the properties to accurately reflect profits. I added back testing date ranges to this so you can easily pull up and see back tested results for a certain date range. I also added a buy and sell message fields in the properties so you can launch alerts that will work with automated trading services. Simply enter your buy message and sell message into those fields in the properties and then when you create an alert enter {{strategy.order.alert_message}} into the alert body and it will dynamically pull in your buy and sell messages when it fires alerts.
BarUpDn StrategyThis is a bar up/down strategy where you can specify how many bars up to buy and how many bars down to sell. It also has code to check and make sure the condition is still true when launching the official alert, which helps back testing and live results line up, however be sure to enter commission and slippage into the properties to accurately reflect profits. I added back testing date ranges to this so you can easily pull up and see back tested results for a certain date range. I also added a buy and sell message fields in the properties so you can launch alerts that will work with automated trading services. Simply enter your buy message and sell message into those fields in the properties and then when you create an alert enter {{strategy.order.alert_message}} into the alert body and it will dynamically pull in your buy and sell messages when it fires alerts.
Up/Down Long StrategyThis is a consecutive bar up/down strategy for going long only where you can specify how many bars up to buy and how many bars down to sell. It also has code to check and make sure the condition is still true when launching the official alert, which helps back testing and live results line up, however be sure to enter commission and slippage into the properties to accurately reflect profits. I added back testing date ranges to this so you can easily pull up and see back tested results for a certain date range. I also added a buy and sell message fields in the properties so you can launch alerts that will work with automated trading services. Simply enter your buy message and sell message into those fields in the properties and then when you create an alert enter {{strategy.order.alert_message}} into the alert body and it will dynamically pull in your buy and sell messages when it fires alerts.
Up/Down StrategyThis is a consecutive bar up/down strategy where you can specify how many bars up to buy and how many bars down to sell. It also has code to check and make sure the condition is still true when launching the official alert, which helps back testing and live results line up, however be sure to enter commission and slippage into the properties to accurately reflect profits. I added back testing date ranges to this so you can easily pull up and see back tested results for a certain date range. I also added a buy and sell message fields in the properties so you can launch alerts that will work with automated trading services. Simply enter your buy message and sell message into those fields in the properties and then when you create an alert enter {{strategy.order.alert_message}} into the alert body and it will dynamically pull in your buy and sell messages when it fires alerts.
Ultimate Bollinger Bands by @DaviddTechThis strategy uses the Ultimate Bollinger and Aroon indicator.
The logic behind the code is
* Enter long :
Aroon up is below the 20 or lower line in settings.
Aroon down is above 70 or above line in settings.
When close crossover the lower Bollinger Band we take an entry
SL is %
TP is % of if Aroon up is below the 70 or lower line in settings.
Aroon down is above 20 or above line in settings.
When close crossover the upper Bollinger Band
* Short :
Aroon down is below the 20 or lower line in settings.
Aroon up is above 70 or above line in settings.
When close crossunder the upper Bollinger Band we take an entry
SL is %
TP is % of if Aroon up is below the 20 or lower line in settings.
Aroon down is above 70 or above line in settings.
When close crossover the lower Bollinger Band
Settings I used to get the results below :
====================
** Ultimate Bollinger Bands by @DaviddTech **
====================
Enable Repainting? = False
Enable LONG entries? = True
Enable SHORT entries? = True
lengthBB = 20
Source = close
StdDev = 2
Offset = 0
Aroon Length = 14
Aroon Enter upper band = 85
Aroon Enter lower band = 5
Aroon Exit upper band = 70
Aroon Exit lower band = 20
Restrict Entries to Date Range? = False
From : = 1611100800000
To : = 1613779200000
Show Liquadation line (BETA) = False
Leverage Amount = 25
Maintenance Margin Rate = 0.5
Type of Exit / Entry = Enter New Trade Only if NO running Trades
Type of Take Profit = Custom Stoploss
Type of Stoploss = Custom Stoploss
Stop Loss % = 4
Take Profit % = 6
Highest High lookback = 50
Lowest Low Lookback = 60
Profitfactor Long (Risk to Reward) = 2
Profitfactor Short (Risk to Reward) = 0.5
Stoploss Factor: LONG = 4
SHORT = 4
Profit Factor: LONG = 2
SHORT = 2
ATR Length = 11
Length = 200
Source = hlc3
Multiplier = 3
Level = 764
Take Multi Profit X3 = False
% to take at First TP = 33
% to take at Second TP = 33
% to take at Third TP = 100
Use Strategy Alerts? - Please read the tooltip = False
Show S/R Levels = False
Use MFI + RSI = False
RSI Source = close
RSI Length = 14
RSI Oversold = 30
RSI Overbought = 60
MFI Period = 60
MFI Area multiplier = 150
MFI Area Y Pos = 2.5
Use vWap = False
vWap Source = close
vWap2 Source = close
Vwap Length = 3
EMA Breakout = False
EMA Length = 100
Use MTF EMA cross = False
MTF = 5
EMA Period = 5
MTF = 5
EMA Period = 30
WARNING:
- For purpose educate only - My mission is to debunk fake strategies with code to find THE ONE.
- Plots EMAs and other values on chart.
- This script to change bars colors.
If you have any questions or feedback, please let me know in the comments.
Moon Phases Strategy 2015 till 2021Moon Phases Strategy
Thank you to Author: Dustin Drummond for allowing me to use his Moon Phase strategy code and modify it. I wanted to test out the accuracy of the moon phase. And I could not have done it without his code
It was created to test the Moon Phase theory compared to just a buy and hold strategy.
It buys on full Moon and sells on the new moon. I also have added the ability to add stop loss and target profit if anyone wants to tinker with it. This strategy uses hard-coded dates from 1/1/2015 until 12/31/2021 only! Any dates outside of that range need to be added manually in the code or it will not work.
I may or may not update this so please don't be upset if it stops working after 12/31/2021.
Feel free to use any part of this code and please let me know if you can improve on this strategy.
Result:
50% accurate using data from 2015 till today.
I find a buy and hold strategy to have outperformed the moon phase.
It does have its value. It might be used as a confluence with other established indicators.
RSI+CMO Hybrid StrategyThis strategy is based on the RSI+CMO Hybrid Index I created. I modified both the original RSI and CMO so that the RSI+CMO Index value ranges from -100 to +100 and defined as follows. When the RSI+CMO Hybrid Index values close above the Bull Level and below the Bear Level, the strategy will trigger long and short signals respectively. This newly defined hybrid RSI+CMO indicator showed better win rates and better profits than the original CMO strategy. The default setting for this strategy is optimized for an 8-hour candle. For candles at different times, try to find the optimal value yourself.
* I was going to open the script, but recently there was a case of stealing my script and publishing it without permission, so I decided not to disclose it.
▶ Modified RSI = Original RSI - 50
Therefore,
Original RSI (0 ~ 100) → Modified RSI (-50 ~ +50)
▶ Modified CMO = Original CMO * 0.5
Therefore,
Original CMO (-100 ~ +100) → Modified CMO (-50 ~ +50)
▶ RSI+CMO Hybrid Index = Modified RSI + Modified CMO
Therefore,
RSI+CMO Hybrid Index (-100 ~ +100)
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이 전략은 기존의 RSI와 CMO 지표를 수정하여 새롭게 정의한 하이브리드 RSI+CMO 지표를 기반으로 만들어졌습니다. 지표 값의 범위가 -100에서 100의 범위를 가질 수 있도록 기존의 RSI와 CMO를 수정하여 만들었습니다. RSI+CMO Hybrid Index 값이 Bull Level 이상과 Bear Level 아래에서 봉마감을 하면 이 전략은 각각 롱과 숏 신호를 트리거합니다. 이렇게 새롭게 정의된 RSI+CMO 지표는 기존 CMO 전략 대비 승률과 수익이 더 우수합니다. 이 전략의 세팅 기본값은 8시간봉에 최적화 되어있습니다. 다른 시간대 봉에서는 최적값을 직접 찾아보십시오. 그리고 이전략은 RSI+CMO Hybrid Index와 함께 사용하면 Long과 Short 신호를 예측할 수 있어 편리합니다.
* 최근에 제 스크립트를 도용/표절하여 무단으로 퍼블리쉬한 사례가 발생하여 더 이상 스크립트는 공개하지 않기로 하였습니다.
HT + RSI Pullback by @DaviddTechThis strategy uses the HT algo and the RSI.
The HT is used to find the global trend and RSI on a length of 2 to find pullbacks.
Long Positions :
* HT is in the blue.
* RSI on length 2 goes in to oversold < 10
* Trigger candle closes higher that the high of the previous candle.
Short Positions :
* HT is in the red.
* RSI on length 2 goes in to overbrough > 90
* Trigger candle closes lower that the low of the previous candle.
Stop loss is the swing low or high.
TP Short :
* The RSI moves back down below the 10
TP Long
* The RSI moves back up above the 90
WARNING:
- For purpose educate only - My mission is to debunk fake strategies with code to find THE ONE.
- Plots EMAs and other values on chart.
- This script to change bars colors.
If you have any questions or feedback, please let me know in the comments.
Chanu Delta Strategy V3This strategy is built on the Chanu Delta Indicator, which indicates the strength of the Bitcoin market. When the Chanu Delta Indicator hits “Delta Bull” and “Delta Bear” and closes the candle, long and short signals are triggered respectively. The example shown on the screen is a default setting optimized for a 4-hour candlestick strategy based on the Bybit BTCUSDT futures market. You can use it by adjusting the setting value and modifying it to suit you.
This new version is selectable from both reference and large amplitude BTCUSD markets in order to enable fine backtesting. I recommend using BYBIT:BTCUSDT for the reference market and INDEX:BTCUSD for the large amplitude market.
If you use this strategy in conjunction with the Chanu Delta Indicator, it is convenient to anticipate alert signals in advance. Because the Chanu Delta Indicator represents the price difference based on the Bybit BTCUSDT futures market, backtesting is possible from March 2020.
▶ Improvements and originality compared to the previous version
1. Selectable BTCUSD reference and large amplitude markets
2. Improvement of the SL/TP Function
- Improved SL/TP function based on the actual entry price of the position.
- Application of SL/TP function can be turned on/off.
robotrading bodyThis is a very simple and universal strategy. Good for crypto. For BTC/USD, shitcoin/BTC.
Strategy
Long positions only. If the candle is falling and the candle body is 3 or more times the average candle body, then open a long position.
If the candle is rising, we should close a long position.
Short positions are not used.
This is a counter-trend strategy.
The average body of a candlestick is the arithmetic average of the bodies of the previous 100 bodies.
Parameters
The multiplier is the number of times the candlestick body should be bigger than the average candlestick body to get a signal to open a long position.
Recommended
- A timeframe of 4 hours to 1 day
- Cryptocurrencies with large market capitalization
- you can use coin/USD, coin/USDT, coin/BTC, coin/ETH, etc
Quickfingers Luc's Base Breaking Strategy v2.5 - 3Commas EditionIntroduction
The strategy attempts to implement a popular price action strategy by Luc Thomas (a.k.a. Quickfingers Luc) typically referred to as a QFL base-breaking strategy specifically for the 3Commas platform. The Input settings have been redesigned to match the same inputs as the 3Commas My Bot Settings page. Only the "Deal Start Condition" section will echo the required QFL-related settings found in the original Quickfingers Luc's Base Breaking Strategy v2.5 to successfully implement the strategy.
The strategy revolves around price action movements that reveal “bases”, which are price levels of support that have a significant, rapid price surges called “bounces”. Once a base is revealed, the base price level is used as reference to implement multiple entries below the base using a layering technique of dollar-cost averaging to place multiple limit orders at various price levels below the base price. As price action breaks below the base price, the limit orders will be filled, and the take profit, breakeven and stop loss prices will be recalculated.
How is it original and useful?
This strategy is unique in that the strategy version fully supports the TradingView backtester, which will enable you to perform experiments with various settings to evaluate performance using the historical chart data. The study version implements the "Start Deal" and "Close Deal" alerts for you to integrate with 3Comma's "Trading View Custom Signal" start condition. Both script versions will provide the same configuration abilities. The following list is a brief description of its usefulness:
The ability to define the QFL base confirmation settings, including volume analysis.
The ability to define your preferred layering strategy of either dollar-cost averaging (DCA) or grid-like layers along with precise layer placement.
The ability to define your trading parameters like take profit and stop loss offsets, exchange commission rates, trading start time, and position size multiplication for each layer.
The ability to define flexible trade eligibility rules that can use other chart indicators, like RSI or EMA, to exclude the selection of base prices for trading.
The ability to set the visibility & color theme of the detailed statistics from the chart history pertaining to trading sessions started and closed, session durations, win rate, price action drops and bounces, as well as layer utilization.
How does it compare to other scripts in the Public Library?
The strategy offers a very detailed, comprehensive settings to implement the QFL base-breaking strategy ion 3Commas. The strategy version leverages the full features of the TradingView backtester to provide informative, detailed performance measurements surrounding this unique trading strategy. The study version will implement the latest alert framework called "Any Alert() Function" where you can create a single alert to handle multiple events, which include:
Deal Start
Deal Close
What does it do and how does it do it?
The strategy can be applied to any chart at any time frame, but the minimum should be no lower than 10 minutes. When applied to the chart for the first time, the default settings will work to render base price levels in orange and 8 DCA layers in thin blue lines. As you scroll through the chart's history you should see price action crossing the DCA layers, denoted with blue triangles, and a green take-profit line will render with green triangle denoting the crossing. Lastly, when a deal session begins upon the crossing of the first layer, the indicator will continue to identify base price levels, but the color of the price lines will be gray. When the trade session concludes upon the crossing of the take profit line, the indicator will switch the most recent base price line from gray to orange to make it active and eligible for trading.
As price action develops, the indicator will use the "Base Confirmation Settings" to look back by counting the number of bars to the left and right of a pivot low point, measure the price drops and bounces, and volume amounts to validate that they are within the specified values. If so, the indicator will draw an orange triangle beneath the candle bar to denote it as the pivot low point and begin rendering the orange line as the base price. The DCA layers will be calculated and offset relative to the base price using thin blue lines.
Optionally, the breakeven price line will be drawn to help visualize the true breakeven price which takes into consideration the exchange fees being applied. Base line, take profit, stop loss and DCA layer crossings will be denoted with colorful shapes to help visually recognize the events on the chart.
The volume is validated only at the pivot low candle. It will measure the volume against the moving average to determine base confirmation. A volume factor of 1 will mean that the volume must be at least the same value as the moving average value. A volume factor of 2 means it must be twice the moving average value.
Lastly, a table of statistics is positioned to the upper-right corner of the chart that summarize all the events that have taken place since the indicator began simulating deal sessions from the chart's history.
Strategy Results
The default settings are designed to define a "weak" QFL base to ensure that the indicator will render chart elements when first loaded as well as to allow the backtester to gather order executions and display performance summary. The strategy version is using $10,000 initial capital, a commission rate of 0.1% for both entries and exits, and a 1 tick slippage setting. It is also using 3.4881% of the equity for the Base Order Size, 4.7097% of equity for the first Safety Order Size. The Maximum Safety Trade Count is 7 with a Safety Order Volume Scale of 1.35, and a take profit of 5% with no stop loss. All other settings are defaults.
It is recommended that the indicator be "tuned" for your specific market in order to best implement the QFL trading strategy and obtain better desirable results. You do so by using the statistics table and observe the Mean Price Drop and Bounce values to learn what the indicator is detecting when it measures from the pivot low points. Using this information, you can adjust the Base Confirmation Settings accordingly, along with any volume specifications you require, to configure the indicator for the chart.
Always keep in mind that past performance may not be indicative of future results. Settings that seem favorable for one market may be found to be disastrous in another. Therefore, do take the time needed to understand how the settings will behave with the given chart symbol.
Enjoy! 😊👍
How to obtain access to the script?
You have two choices:
Use the "Website" link below to obtain access to this indicator, or
Send us a private message (PM) in TradingView itself.
Quickfingers Luc's Base Breaking Strategy v2.5Introduction
The strategy attempts to implement a popular price action strategy by Luc Thomas (a.k.a. Quickfingers Luc) typically referred to as a QFL base-breaking strategy. The strategy revolves around price action movements that reveal “bases”, which are price levels of support that have a significant, rapid price surges called “bounces”. Once a base is revealed, the base price level is used as reference to implement multiple entries below the base using a layering technique of dollar-cost averaging to place multiple limit orders at various price levels below the base price. As price action breaks below the base price, the limit orders will be filled, and the take profit, breakeven and stop loss prices will be recalculated.
How is it original and useful?
This strategy is unique in that the strategy version fully supports the TradingView backtester, which will enable you to perform experiments with various settings to evaluate performance using the historical chart data. The study version implements numerous custom alerts for you to build TradingView notifications around specific price action events and stay informed with market activity in real-time. Both script versions will provide the same configuration abilities where you can define:
Base confirmation settings, including volume analysis.
Your preferred layering strategy of either Dollar-cost averaging (DCA) or grid-like layers along with precise layer placement.
Your trading parameters like take profit and stop loss offsets, exchange commission rates, trading start time, and position size multiplication for each layer.
Flexible trade eligibility rules that can use other chart indicators, like RSI or EMA, to exclude the selection of base prices for trading.
The visibility of detailed statistics from the chart history pertaining to trading sessions started and closed, session durations, win rate, price action drops and bounces, as well as layer utilization.
How does it compare to other scripts in the Public Library?
The strategy offers a very detailed, comprehensive settings to address all types of markets found on TradingView where you can implement the QFL base-breaking strategy. The strategy version can be considered the first of its kind on TradingView to leverage the backtester to provide informative, detailed performance measurements surrounding this unique trading strategy. The study version will contain numerous custom alerts to aid in your notification preferences and stay informed on the indicator's activities:
Base Created
Base Cracked
Base Respected
Any Layer Cracked
Layer 1 Cracked
Layer 2 Cracked
Layer 3 Cracked
Layer 4 Cracked
Layer 5 Cracked
Layer 6 Cracked
Layer 7 Cracked
Layer 8 Cracked
Layer 9 Cracked
Layer 1 Respected
Layer 2 Respected
Layer 3 Respected
Layer 4 Respected
Layer 5 Respected
Layer 6 Respected
Layer 7 Respected
Layer 8 Respected
Take Profit Crossed
Stop Loss Crossed
What does it do and how does it do it?
It is recommended that you start with a chart that is on an hourly timeframe with the "Scale Price Chart Only" chart setting enabled. When applied to the chart for the first time, the default settings will work to render base price levels in orange and 8 DCA layers in blue using a Fibonacci-like sequence for the deviation offset relative to the base price. As you scroll through the chart's history you should see price action crossing the DCA layers, denoted with blue triangles, and a green take-profit line will render with green triangle denoting the crossing. Lastly, when a trade session begins upon the crossing of the first layer, the indicator will continue to identify base price levels, but the color of the price lines will be gray. When the trade session concludes upon the crossing of the take profit line, the indicator will switch the most recent base price line from gray to orange to make it active and eligible for trading.
As price action develops, the indicator will use the "Base Confirmation Settings" to look back by counting the number of bars to the left and right of a pivot low point, measure the price drops and bounces, and volume amounts to validate that they are within the specified values. If so, the indicator will draw an orange triangle beneath the candle bar to denote it as the pivot low point and begin rendering the orange line as the base price. The DCA layers will be calculated and offset relative to the base price using thin blue lines.
Optionally, the breakeven price line will be drawn to help visualize the true breakeven price which takes into consideration the exchange fees being applied. Base line, take profit, stop loss and DCA layer crossings will be denoted with colorful shapes to help visually recognize the events on the chart.
The volume is validated only at the pivot low candle. It will measure the volume against the moving average to determine base confirmation. A volume factor of 1 will mean that the volume must be at least the same value as the moving average value. A volume factor of 2 means it must be twice the moving average value.
Lastly, the very last bar will render a table of statistics that summarize all the events that have taken place since the indicator began simulating trading sessions from the chart's history.
Strategy Results
The default settings are designed to define a "weak" QFL base to ensure that the indicator will render chart elements when first loaded as well as to allow the backtester to gather order executions and display performance summary. The strategy version is using $10,000 initial capital, a commission rate of 0.1% for both entries and exits, and a 1 tick slippage setting. It is also using 3.4887% of the equity with a Position Size Multiplier of 1.35, using 8 total DCA layers, and a take profit of 5% with no stop loss. All other settings are defaults.
It is recommended that the indicator be "tuned" for your specific market in order to best implement the QFL trading strategy and obtain better desirable results. You do so by using the statistics table and observe the Mean Price Drop and Bounce values to learn what the indicator is detecting when it measures from the pivot low points. Using this information, you can adjust the Base Confirmation Settings accordingly, along with any volume specifications you require, to configure the indicator for the chart.
Always keep in mind that past performance may not be indicative of future results. Settings that seem favorable for one market may be found to be disastrous in another. Therefore, do take the time needed to understand how the settings will behave with the given chart symbol.
Enjoy! 😊👍
How to obtain access to the script?
You have two choices:
Use the "Website" link below to obtain access to this indicator, or
Send us a private message (PM) in TradingView itself.
robotrading ZZ-7This strategy is a copy of the ZZ-6 strategy, but the lines to enter the position are now sloped.
Blue lines - when the price crosses from bottom to top, you should open a long position (and close a short position).
Black lines - when crossed by price from upside downwards it is necessary to open a short position (and close a long position).
Reverse trading.
Recommended:
- crypto/fiat (BTC/USD, ETH/USD, BTC/USDT, LTC/EUR, etc)
- Timeframe from 4 hours to 1 day
Ultimate ABC Reversal by @DaviddTechIn this indicator we are looking for HH & LL to create an ABC pattern.
Shorts are defined by an ABC pattern.
Short:
* Starting with a low to a Higher High
* Breaking that trend to a new low
* Creating a new Higher High (FOMO HH)
* If the price breaks below the previous HH we have our entry.
Longs:
* Starting with a Hight to a Lower Low
* Breaking that trend to a new high
* Creating a new Lower Low (FOMO LL)
* If the price breaks above the previous LL we have our entry.
Stop loss just above or below the FOMO LL/HH.
Take Profit using a Fib or Risk to Reward.
WARNING:
- For purpose educate only - My mission is to debunk fake strategies with code to find THE ONE.
- Plots EMAs and other values on chart.
- This script to change bars colors.
If you have any questions or feedback, please let me know in the comments.
DCA Bot Long/Short Thanks to @TheTradingParrot for the inspiration and knowledge shared.
Thanks to @ericlin0122 for the original DCA Bot Emulator which is the backbone of this strategy.
The script simulates DCA strategy with parameters used in 3commas DCA bots for futures trading. Experiment with parameters
to find your trading setup.
Beware how large your total leveraged position is and how far can market go before you get liquidated!
Do that with the help of futures liquidation calculators you can find online!
I`ve added:
1) an internal average price and profit calculating, instead of TV`s native one, which is subject to severe slippage.
2) I`ve built a graphic interface, so levels are clearly visible and back-test analyzing made easier.
3) now both Long & Short direction of the strategy exist.
4) trailing TP which was featured in the initial script has been removed because TV`s execution model makes
it impossible to know how the real world trailing would have unfolded.
5) the table is self explanatory, and it is there to help you discover what happened and where.
6) vertical colored lines appear when the new maximum deviation from the original price has
been reached
All the trading happens with total account capital, and all order sizes inputs are expressed in percent.
Known issues:
When deviation is small, and the same candle triggers safety AND the close order, the initial orders are closed, but a
new one opens on the next candle. This is "resolved" by closing the unwanted trade forcefully on the next candle, affecting
profit calculating minimally and guaranteeing that what should be closed has been closed.
The code could be improved through use of arrays, making the table flexible so the number of rows should be dynamic depending
on the number of SOs.
!!!!! IMPORTANT!!!!!
This strategy script is made to receive a signal from an exterior study script, which should plot +100 for long or -100 for short
entry (that is by default - values can be changed in the strategy settings menu). That plot should be found in "Enter Trigger" input
dropdown menu at the bottom of strategy settings menu. Removing the "and trigger == long/short_trigger" condition from strategy entry
conditions makes the strategy open trades ASAP.
Cheers!
MTF C Strategy A
The Pearson coefficient is a type of correlation coefficient that represents the relationship between two variables that are measured on the same interval or ratio scale. It's a measure of the strength of the association between two continuous variables.
This script allows you to choose one or more sources as a curve, if several sources are chosen, their average is taken into account in an EMA or SMA of your choice. It is possible to have the average of all the curves and to add one or more other curves for an influence on the calculated average.
Then, on the basis of this curve a correlation is calculated from 8 time ranges which give 4 curves, it is on this basis that the conditions of entries in the trade and / or exits are based with the possibility of adding an RSI condition.
For some entries, it is possible to try the symmetrically opposite condition, ie the one that is used in shorts.
To make entry short work, you must activate an exit short option.
However, exit conditions are more flexible than entry conditions because they allow the inverse entry condition used and / or to use statistical indices such as CCI / RSI / ROC / BB as exit condition independently or combined way.
It should be noted that if a condition among those chosen is executed substantially first, it will predominate over the others (same for long / short entries).
In addition, it is possible to choose a stop loss as an exit condition, however, it is not possible to combine the other exit conditions with the stoploss at the same time. Credits to adolgov for the base of the stoploss script part.
You can combine several curves, just as it is possible to combine several types of trade entries / exits.
The strategy uses 100% of equity, it has not been configured in such a way that there is an order pyramid and the closings are done on a total equity basis.
You can configure a daily session interval, a limit of the number of daily trades, a limit of drawdown.
You can add comments for each execution of an opening / closing order respectively to the direction (long or short).
Each step of the configuration has a tip, a button that must be hovered over in order to have the information relating to the configuration.