MACD+ Alerts [SystemAlpha]This is the alert companion of the MACD+ Strategy . Instead of using just the normal crossovers, we use trend filters, trailing stop loss and take profit targets. This strategy was developed for crypto, forex and stocks on daily timeframe but feel free to experiment on 15 minutes or higher using heikin ashi or normal candles.
In this alert you have a choice of:
Trend Filters:
- Average Directional Index ( ADX ) – buy when price is trend is up and sell when trend is down.
- Moving Average (MA) – buy when price close above the defined moving average and sell when price close below moving average
- Parabolic SAR – buy when SAR is above price is above price and sell when SAR is below price.
- All - Use ADX , MA and SAR as filters
For MA Filter , you can use the “TF MA Type” and "TF MA Period" parameter to select Simple or Exponential Moving Average and length.
Stop Loss:
- Average True Range (ATR) – ATR % stop as trailing stop loss.
- Parabolic SAR ( SAR ) – Parabolic SAR adapted as trailing stop loss.
For ATR , you can use the “ATR Trailing Stop Multiplier” parameter to set an initial offset for trailing stop loss.
Take Profit Target:
- Average True Range (ATR) – ATR % stop as trailing stop loss.
- Standard % – Percent as target profit
For ATR , you can use the “ATR Take Profit Multiplier” parameter to set an initial offset for trailing stop loss.
Additional feature include:
- Regular and Hidden Divergence display and alerts
Alerts:
When creating alerts use “Once Per Bar Close” parameter for Long and Short and “Once Per Bar” for Close, Trailing Stop, Take Profit and Divergence.
TradingView Links:
Strategy:
MACD:
How to use:
1. Apply the script by browsing through Indicators --> Invite-Only scripts and select the indicator
2. Once loaded, click the gear (settings) button to select/adjust the parameters based on your preference.
3. Wait for the next BUY or SELL signal to enter the trade!
Disclaimer:
The indicator and signals generated do not constitute investment advice; are provided solely for informational purposes and therefore is not an offer to buy or sell a security; are not warranted to be correct, complete or accurate; and are subject to change without notice.
Cari dalam skrip untuk "stop loss"
WaveTrend+ Strategy [SystemAlpha]This is a WaveTrend strategy based on WaveTrend Oscillator. In addition to using the normal crossovers, we use trend filters, trailing stop loss and take profit targets. WT+ Strategy was developed for crypto, forex and stocks for 15 minutes to daily timeframe. The main goal was to catch long term trends and ride them.
In this strategy you have a choice of:
Trend Filters:
- Average Directional Index (ADX) – buy when price is trend is up and sell when trend is down.
- Moving Average (MA) – buy when price close above the defined moving average and sell when price close below moving average
- Parabolic SAR – buy when SAR is above price is above price and sell when SAR is below price.
- All - Use ADX, MA and SAR as filters
For MA Filter , you can use the “TF MA Type” and "TF MA Period" parameter to select Simple or Exponential Moving Average and length.
Stop Loss:
- Average True Range (ATR) – ATR % stop as trailing stop loss.
- Parabolic SAR (SAR) – Parabolic SAR adapted as trailing stop loss.
For ATR , you can use the “ATR Trailing Stop Multiplier” parameter to set an initial offset for trailing stop loss.
Take Profit Target:
- Average True Range (ATR) – ATR % stop as trailing stop loss.
- Standard % – Percent as target profit
For ATR , you can use the “ATR Take Profit Multiplier” parameter to set an initial offset for trailing stop loss.
Additional feature include:
- Regular and Hidden Divergence display and alerts
- Filter Overbought and Oversold
- Use WT Cross for Exit
STRATEGY ONLY:
- Set backtest dates
- Set Trade direction - Long, Short or Both
- Use timed exit - Select method and bars
- Method 1: Exit after specified number of bars.
- Method 2: Exit after specified number of bars, ONLY if position is currently profitable.
- Method 3: Exit after specified number of bars, ONLY if position is currently losing.
TradingView Links:
WT+ Oscillator Companion:
WT+ Alerts:
How to use:
1. Apply the script by browsing through Indicators --> Invite-Only scripts and select the indicator
2. Once loaded, click the gear (settings) button to select/adjust the parameters based on your preference.
3. Wait for the next BUY or SELL signal to enter the trade!
Disclaimer:
The indicator and signals generated do not constitute investment advice; are provided solely for informational purposes and therefore is not an offer to buy or sell a security; are not warranted to be correct, complete or accurate; and are subject to change without notice.
WaveTrend+ Alerts [SystemAlpha]This is the alert companion of the WaveTrend+ Strategy . Instead of using just the normal crossovers, we use trend filters, trailing stop loss and take profit targets. WT+ Strategy was developed for crypto, forex and stocks for 15 minutes to daily timeframe. The main goal was to catch long term trends and ride them.
In this alert you have a choice of:
Trend Filters:
- Average Directional Index (ADX) – buy when price is trend is up and sell when trend is down.
- Moving Average (MA) – buy when price close above the defined moving average and sell when price close below moving average
- Parabolic SAR – buy when SAR is above price is above price and sell when SAR is below price.
- All - Use ADX, MA and SAR as filters
For MA Filter , you can use the “TF MA Type” and "TF MA Period" parameter to select Simple or Exponential Moving Average and length.
Stop Loss:
- Average True Range (ATR) – ATR % stop as trailing stop loss.
- Parabolic SAR (SAR) – Parabolic SAR adapted as trailing stop loss.
For ATR , you can use the “ATR Trailing Stop Multiplier” parameter to set an initial offset for trailing stop loss.
Take Profit Target:
- Average True Range (ATR) – ATR % stop as trailing stop loss.
- Standard % – Percent as target profit
For ATR , you can use the “ATR Take Profit Multiplier” parameter to set an initial offset for trailing stop loss.
Additional feature include:
- Regular and Hidden Divergence display and alerts
- Filter Overbought and Oversold
- Use WT Cross for Exit
TradingView Links:
WT+ Oscillator:
How to use:
1. Apply the script by browsing through Indicators --> Invite-Only scripts and select the indicator
2. Once loaded, click the gear (settings) button to select/adjust the parameters based on your preference.
3. Wait for the next BUY or SELL signal to enter the trade!
Disclaimer:
The indicator and signals generated do not constitute investment advice; are provided solely for informational purposes and therefore is not an offer to buy or sell a security; are not warranted to be correct, complete or accurate; and are subject to change without notice.
Algorithm Builder - Multiple Trends+ (Plug & Play)Hello traders
I. SCRIPTS ACCESS AND TRIALS
1. For the trial request access, they have to be done through my website .
2. My website URL is in this script signature at the very bottom (you'll have to scroll down a bit and going past the long description) and in my profile status available here : Daveatt
Due to the new scripts publishing house rules, I won't mention the URL here directly. As I value my partnership with TradingView very much, I prefer showing you the way for finding them :)
3. You may also contact me directly for more information
II. Algorithm Builder - Multiple Trends
2.1 Forewords
The Multiple Trends+ is the update of the Multiple Trends and includes a built-in Trade Manager and PnL/Risk-Reward Panel
This indicator is available only to our PREMIUM users. Our PREMIUM indicators offer more trading analysis capabilities and opportunities.
A few words of caution: the Algorithm Builders - Multiple Trends are more advanced and as such, would require slightly more time to be mastered.
They're not that much difficult, but we understand that designing a trading system with 2 trends might be slightly more complicated - however, there is nothing to be scared of :).
The time spent to learn how to use our PREMIUM tools might be rewarded handsomely.
2.2 Concept
The Algorithm Builder - Multiple Trends is made to detect the convergence of many unrelated indicators and give a BUY or SELL signal whenever all the selected sub-indicators are converging in the same direction.
This is an upgrade of the PRO package giving access to the Algorithm Builder - Single Trend - designed to show 1 unique entry per trend - whereas the Multiple Trends offers re-entries in the same direction of the trend if the indicator detects good convergences to accumulate more positions.
III. Plug & Play
Hope you're ready to be impressed. Because, what I'm about to introduce, is my best-seller feature - and available across many of my indicators.
In TradingView, there is a feature called "Indicator on Indicator" meaning you can use an external indicator as a data source for another indicator.
I'm using that feature to connect any external indicator to our Algorithm Builder Multiple Trends+ Plug & Play (hence the plug and play name).
Let's assume we have an RSI divergence indicator - which is not part of the Algorithm Builder - but noticed that the convergence of an RSI divergence and a MACD gives strong signals.
I mentioned an RSI divergence, but you may connect any oscillator (MACD, On balance volume, stochastic RSI, True Strenght index, and many more..) or non-oscillator (divergence, trendline break, higher highs/lower lows, candlesticks pattern, price action, harmonic patterns, ...) indicators.
THE SKY IS (or more likely your imagination) is the limit :)
Fear no more. The Plug&Play technology allows you to connect it and use it in the convergence/confluence calculations.
Hence, whenever the MACD and RSI divergence will be in the same direction every time you'll get a convergence.
PS: Whereas it's only the first time only because this is a Single trend edition.
To connect your external indicator to ours, we're using a native TradingView feature, which is not available for all users.
It depends on your TradingView subscription plan ( More info here )
If you intend to use our Algorithm Plug&Play indicator, and/or our Backtest Plug&Play suites, then you must upgrade your TradingView account to enjoy those features.
We value our relationship with our customers seriously, and that's why we're warning upfront you that a compatible TradingView account type is required - at least PRO+ or PREMIUM to add more than 1 Plug&Play indicator per account.
We go in-depth on our website why the Plug&Play is an untapped opportunity for many traders out there - URL available on my profile status and signature
IV. Multiple Trends versus Single Trend
4.1 Multiple Trends benefits
A friend asked us recently Why using the Multiple Trends if we can use the Single Trend in a smaller timeframe, and get more entries that way?
We thought this was an excellent question, but the answer is obvious.
Using a Single Trend on a smaller timeframe to solely getting more entries will reduce the security of the given trades.
We designed the Algorithm Builders to take a trade in an identified trend but reducing the timeframe too much will mostly increase your risk - and might lead to capital loss.
By the way, this is a universal rule valid also for a big majority of indicators.
We're absolutely not saying that the Single Trend won't work on small timeframes because actually it really does. But, if you find out a great configuration for your Single Trend, and want to get more signals without increasing your risk - then the Multiple Trends would be a very viable option.
4.2 Main signal versus secondary signals
For the main and secondary trends, the color green symbolizes any identified "BUY" trend. And the color red symbolizes any identified "SELL" trend.
-The MAIN trend symbol is unique and symbolized by a triangle.
- The SECONDARY (could also be called re-entries) trends are multiple and symbolized by a diamond.
In the Algorithm Builder indicator settings, they're identified with the Additional keyword.
4.3 How the convergences are calculated
Extremely important: The diamonds (or re-entries) are displayed, as long as a triangle (or main/primary signal) is displayed.
For a trend change (buy to sell or sell to buy), the system waits for ALL selected re-entries sub-indicators , to give a convergence/confluence in the opposite direction.
For example, let's assume a BUY/green convergence based on 3 indicators. One or Two of them going turning red, won't be enough for a trend change.
But, if all of them turn red, then we'll see a red triangle - signaling the beginning of a new downtrend.
4.4 Why multiple entries?
Here are a few use cases :
1. The main use case why we made those Multiple Trends indicators: A trader got invalidated or stopped out on a trade, but wants a system to let hin/her jump back in with a minimum of security. (security depending on the configuration of the Algorithm Builder as a whole).
This is very frustrating to get in a trade, being stopped out, and finally, see the trade going in the expected direction.
Even more frustrating to jump back in at the end of a trend, and get stopped out again - we all agree on this.
2. You want to add more positions on your main trade as your Algo Builder identified a solid trend - this is a nice way to possibly maximize your gains.
Once again, we don't/won't guarantee any performance result (not because we don't believe in our tools, but for legal reason), all depends on the time spent reading our documentation and playing with the Algo Builder - as explained on our Tutorials.
More info available on our website. URL available in this script signature and on my profile status.
V. Why the Algorithm Builder Multiple Trends+ may help you
I worked with many traders during my career, and their feedback about trading is often pretty similar.
They all tried a lot of complicated indicators, losing their capital, and finally getting back to the basics (even to the basic indicators if I might say)
The art is finding a good combination of indicators and setting strict money/risk management rules.
Easy in concept, but more than 90+% of traders lose money on the markets... which teach us that trading is not only about drawing trendlines, or using cool indicators but finding ways to ease our psychology while trading.
5.1 The Algorithm Builder trading framework
The sub-indicators (full list on our website) weren't chosen randomly. They're based on a trading method we've developed over the last 6 years - while working with traders and other trading quants.
The Algo Builders are made to detect a convergence - and as such, will give a signal once a trend has been identified.
They're not made to detect reversal but have been designed to give a signal when all sub-indicators are either ALL bullish (green) or ALL bearish (red).
We provide a framework based on indicators we selected because they:
1. make sense to be used altogether
2. work on asset classes like INDEX, CRYPTO, STOCK OPTIONS, FOREX, COMMODITIES
3. it may expand your knowledge about what detecting a convergence with pre-selected indicator really means
5.2 Supports and Resistances
The indicator displays the main algorithmic supports and resistances according to our trading method.
I think they're relevant for all asset classes, but you're absolutely free to use any different supports/resistances logic if you want to.
I'm not against it because I know that pivots, Fibonacci levels, etc. may work very well also.
5.3 Choose your favorite risk management algorithm
1/ Pre-defined Algo S/R method using:
- a supertrend of the stop-loss
- the nearest algorithmic resistances for the take profit levels.
2/ Define your own Stop-loss and Take-profits level in real-time
Stop-Loss Management
For what's following, let's assume that 2 is the stop-loss value you inserted in the indicator, and the Algorithm Builder gives a BUY signal.
This is NOT a recommendation at all, only an example to explain how this feature works.
- %Trailing: The Stop-Loss starts 2% away from the entry price - and will move up (because we're on a BUY trade as per our example) every time your trade will gain 2% profit
- Percentage: The Stop-Loss stays static 2% away from the entry price. There is no trailing here
- TP Trailing: This is a very awesome feature. The stop-loss is set 2% away when the trades start.
When the TP1 is hit, the stop-loss will be moved to the Entry price (also called breakeven).
When the TP2 is hit, the SL is moved to the previous TP1 position
- Fixed: Set the Stop-Loss at a fixed position (value should be in currency/units)
Take Profits Management
You can manage up to 2 take profit levels defined as a percentage or price value.
The expected input is in percentage value (for instance, setting the % target of TP1 to 2% will set the TP1 level 2% away from the entry price
5.4 Built-in Trade Manager
This is very likely the most loved utility script that we shared on TradingView.
It's included in your Algorithm Builder - Single Trend+, and will certainly help you immensely to analyze your charts and your trades.
We made sure that all the graphical elements on the chart will be updated in real-time whenever our user change anything on the indicator configuration.
You'll also be able to change the Trade Manager labels positions as you wish :)
5.5 Built-in Risk-to-Reward Panel
The good stuff doesn't stop here.
You'll notice that this sometimes green (when in a LONG), sometimes red (when in a SHORT) panel at the right of your chart.
It displays for the selected trading algorithmic (see 2.3.2 above), a ton of useful real-time analytics.
- Entry Price: the price when the Algorithm Builder will give a signal.
- The Trade PnL in percentage.
- Entry Stop Loss: Distance (in currency/units) between the selected stop-loss algorithm (percent, trailing, TP trailing, etc.) and the entry price.
- Entry TP1: Distance (in currency/units) between the entry price and the first take profit
- Entry TP2: Distance (in currency/units) between the entry price and the second take profit
- Risk/Reward TP1: Using the Stop-loss distance at entry, and Take Profit 1 at entry to compute the risk-to-reward ratio.
- Risk/Reward TP2: Using the Stop-loss distance at entry, and Take Profit 2 at entry to compute the risk-to-reward ratio.
For more details, please check the guides section of my website. Links are in my signature and profile status.
5.6 Built-in PnL real-time calculations
YES!!!! you read it correctly
The panel displays the risk-to-reward ratios but also the PnL (Profit and Loss in percentage value) of the current and last trade
5.7 Hard Exits
Our trading method is known for the hard exits, also called invalidation.
The Single Trend+ includes a hard exit based on a MACD - settings are flexible and you may update them.
Having a stop-loss protecting your trade is a best practice - Protecting your stop-loss also from getting hit is incredible.
We prefer invalidate a few positions, even if sometimes we don't want to. Rather than the market hard exiting on us, and leaving with our hard-working money.
5.8 Alerts
Alerts are enabled for:
- BUY/SELL MAIN triangles signals
- BUY/SELL SECONDARY diamond signals
- Trade Manager alerts (Stop Loss, Take Profit 1, Take Profit 2)
- Hard Exits
VI. Pain points that we're trying to solve with our Algorithm Builders
Issue #1 There are many informations / indicators / strategies / backtests / noise. Finding the right ones is not a simple task.
Solution #1 A reliable system that removes the external noise is much needed in trading to stay "in the game".
Issue #2 Trading could be quite stressful - The majority doesn't lose in trading because technical analysis is hard, but because managing our psychology is one of the hardest things a human can do.
Solution #2 Some ways to reduce the "trading stress" could be: getting better quality signals and trading like a "machine". Forgetting about Twitter and trusting the system you designed.
Issue #3 Trading without strict rules and only based on what we feel, or what we think the market should do is the fastest way to kiss our money goodbye.
Only 1 indicator generally is not enough. Traders generally use a combination of several indicators but they're monitoring them individually.
It's normal then to feel exhausted at the end of the day ^^ (to say the least)... and exhaustion leads to mistakes which leads to..... (I'm sure you got it) ... capital loss.
Solution #3 As a trader, I needed a trading framework and a method. I offer our trading method but they're plenty others out there. We cannot claim obviously it's the best ever ....but let's say we're using those exact same
scripts ourselves for our trading. And this what we've been recommending our clients to trade with for the past years. Also, having a tool detecting the convergence of several indicators and giving 1 unique signal
for BUY/SELL position will save you a lot of time/energy, and perhaps might help you out getting better trading performance.
VII. Resolving a complex puzzle and having fun in the process
Trading has to stay a passion and not (only be) a source of intense stress.
The most successful traders I know are "trading geeks" - literally always looking for optimizing, searching for the best possible entries, setups, indicators, tools, etc.
For them, it's not even about the money anymore, but only about beating their previous performance.
Why are they doing this? Because it's fun
Might appears as a bold statement, but I guarantee that looking for setups is fun.
One of our users even told us, that it's like playing with "Legos" and we couldn't possibly agree more.
VIII. Designing a system that "makes sense"
Another bold statement now. Brace yourselves ladies and gentlemen
The Algorithm Builders allow to design trading systems quickly. What could takes days/weeks/months to find out... might be now within your reach in less than a few hours.
With a bit of practice, less than an hour might be enough per asset/timeframe to find a system that makes sense to you and adapted to your trading capital and psychology.
Assuming our users read our guides and are fully committed to learning a new way of trading - then we do guarantee you'll be able to design kick-ass trading systems that make sense.
"Making sense" doesn't mean at all it's guaranteed to win, it means you're the one defining the convergence of indicators, using your Algorithm Builder, and observe that most of the time - whenever there is a BUY signal, the candlesticks are going upwards - whenever there is a SELL signal, it's going downwards.
This is a necessary step to make real progress from a trading analyst perspective - and hopefully could lead to profits.
VIII. Algorithm Builder versus the main trader enemy(=psychology)
This indicator has the goal to help solving one of the MAIN issues encountered by traders.
Most of traders realize, they can't perform with only 1 indicator (or 1 price pattern or 1 price action) and need a combination of multiple indicators before getting in a trade.
Far from being a magic pill, if it could at least reduce the stress you have while trading, then we'll consider we made a great job - it's a technical "useless noise remover", and needs to be followed strictly.
Such trust in a trading system can only be built by testing your Algorithm Builder configuration on either:
1. a demo account
2. or a live account with small bids. And then, increasing progressively the bids if your capital increases progressively.
Though, you should still use your common sense. (for instance: if we get a BUY signal right on a big timeframe resistance we're hitting for the first time).
I'm aware this is a new way of trading but for many, and while we cannot foresee the future, neither predict performance, we believe it might save you a lot of time to find good signals.
My maximum level of happiness will be reached the day when our users will contact me and showing me setups being mine.
I'm sure that even I can learn from my users and, we can all learn from each other Algorithm Builder configuration
IX. What is a wrong or bad configuration?
Simply put. If you see that most of your signals react such as described below:
1. a buy triangle/diamond predicts, most of the time an upwards move
2. a sell triangle/diamond predicts, most of the time a downwards move
3. you estimated yourself the stop-loss needed to give enough room for your trades.
4. take profits based on algorithmic support and resistances or your own take profit method.
So what's a good Algorithm Builder configuration? A configuration you're happy with and makes sense.
A better Algorithm Builder setup is one used in demo or a live account w/ small bids for a few weeks, and you're consistent in your trading performance.
If you have any doubt or question, please hit me up directly or ask in the comments section of this script.
I'll never claim I have the best trading methodology or the best indicators. You only will be the judge, and I'll appreciate all the questions and feedback you're sending my way.
They help me a ton to develop indicators based on all the requests I received.
Kind regards,
Dave
Algorithm Builder - Multiple Trends+ (+ Trade Manager and Panel)Hello traders
I. SCRIPTS ACCESS AND TRIALS
1. For the trial request access, they have to be done through my website .
2. My website URL is in this script signature at the very bottom (you'll have to scroll down a bit and going past the long description) and in my profile status available here : Daveatt
Due to the new scripts publishing house rules, I won't mention the URL here directly. As I value my partnership with TradingView very much, I prefer showing you the way for finding them :)
3. You may also contact me directly for more information
II. Algorithm Builder - Multiple Trends
2.1 Forewords
The Multiple Trends+ is the update of the Multiple Trends and includes a built-in Trade Manager and PnL/Risk-Reward Panel
This indicator is available only to our PREMIUM users. Our PREMIUM indicators offer more trading analysis capabilities and opportunities.
A few words of caution: the Algorithm Builders - Multiple Trends are more advanced and as such, would require slightly more time to be mastered.
They're not that much difficult, but we understand that designing a trading system with 2 trends might be slightly more complicated - however, there is nothing to be scared of :).
The time spent to learn how to use our PREMIUM tools might be rewarded handsomely.
2.2 Concept
The Algorithm Builder - Multiple Trends is made to detect the convergence of many unrelated indicators and give a BUY or SELL signal whenever all the selected sub-indicators are converging in the same direction.
This is an upgrade of the PRO package giving access to the Algorithm Builder - Single Trend - designed to show 1 unique entry per trend - whereas the Multiple Trends offers re-entries in the same direction of the trend if the indicator detects good convergences to accumulate more positions.
III. Multiple Trends versus Single Trend
3.1 Multiple Trends benefits
A friend asked us recently Why using the Multiple Trends if we can use the Single Trend in a smaller timeframe, and get more entries that way?
We thought this was an excellent question, but the answer is obvious.
Using a Single Trend on a smaller timeframe to solely getting more entries will reduce the security of the given trades.
We designed the Algorithm Builders to take a trade in an identified trend but reducing the timeframe too much will mostly increase your risk - and might lead to capital loss.
By the way, this is a universal rule valid also for a big majority of indicators.
We're absolutely not saying that the Single Trend won't work on small timeframes because actually it really does. But, if you find out a great configuration for your Single Trend, and want to get more signals without increasing your risk - then the Multiple Trends would be a very viable option.
3.2 Main signal versus secondary signals
For the main and secondary trends, the color green symbolizes any identified "BUY" trend. And the color red symbolizes any identified "SELL" trend.
-The MAIN trend symbol is unique and symbolized by a triangle.
- The SECONDARY (could also be called re-entries) trends are multiple and symbolized by a diamond.
In the Algorithm Builder indicator settings, they're identified with the Additional keyword.
3.3 How the convergences are calculated
Extremely important: The diamonds (or re-entries) are displayed, as long as a triangle (or main/primary signal) is displayed.
For a trend change (buy to sell or sell to buy), the system waits for ALL selected re-entries sub-indicators , to give a convergence/confluence in the opposite direction.
For example, let's assume a BUY/green convergence based on 3 indicators. One or Two of them going turning red, won't be enough for a trend change.
But, if all of them turn red, then we'll see a red triangle - signaling the beginning of a new downtrend.
3.4 Why multiple entries?
Here are a few use cases :
1. The main use case why we made those Multiple Trends indicators: A trader got invalidated or stopped out on a trade, but wants a system to let hin/her jump back in with a minimum of security. (security depending on the configuration of the Algorithm Builder as a whole).
This is very frustrating to get in a trade, being stopped out, and finally, see the trade going in the expected direction.
Even more frustrating to jump back in at the end of a trend, and get stopped out again - we all agree on this.
2. You want to add more positions on your main trade as your Algo Builder identified a solid trend - this is a nice way to possibly maximize your gains.
Once again, we don't/won't guarantee any performance result (not because we don't believe in our tools, but for legal reason), all depends on the time spent reading our documentation and playing with the Algo Builder - as explained on our Tutorials.
More info available on our website. URL available in this script signature and on my profile status.
IV. Why the Algorithm Builder Multiple Trends+ may help you
I worked with many traders during my career, and their feedback about trading is often pretty similar.
They all tried a lot of complicated indicators, losing their capital, and finally getting back to the basics (even to the basic indicators if I might say)
The art is finding a good combination of indicators and setting strict money/risk management rules.
Easy in concept, but more than 90+% of traders lose money on the markets... which teach us that trading is not only about drawing trendlines, or using cool indicators but finding ways to ease our psychology while trading.
4.1 The Algorithm Builder trading framework
The sub-indicators (full list on our website) weren't chosen randomly. They're based on a trading method we've developed over the last 6 years - while working with traders and other trading quants.
The Algo Builders are made to detect a convergence - and as such, will give a signal once a trend has been identified.
They're not made to detect reversal but have been designed to give a signal when all sub-indicators are either ALL bullish (green) or ALL bearish (red).
We provide a framework based on indicators we selected because they:
1. make sense to be used altogether
2. work on asset classes like INDEX, CRYPTO, STOCK OPTIONS, FOREX, COMMODITIES
3. it may expand your knowledge about what detecting a convergence with pre-selected indicator really means
4.2 Supports and Resistances
The indicator displays the main algorithmic supports and resistances according to our trading method.
I think they're relevant for all asset classes, but you're absolutely free to use any different supports/resistances logic if you want to.
I'm not against it because I know that pivots, Fibonacci levels, etc. may work very well also.
4.3 Choose your favorite risk management algorithm
1/ Pre-defined Algo S/R method using:
- a supertrend of the stop-loss
- the nearest algorithmic resistances for the take profit levels.
2/ Define your own Stop-loss and Take-profits level in real-time
Stop-Loss Management
For what's following, let's assume that 2 is the stop-loss value you inserted in the indicator, and the Algorithm Builder gives a BUY signal.
This is NOT a recommendation at all, only an example to explain how this feature works.
- %Trailing: The Stop-Loss starts 2% away from the entry price - and will move up (because we're on a BUY trade as per our example) every time your trade will gain 2% profit
- Percentage: The Stop-Loss stays static 2% away from the entry price. There is no trailing here
- TP Trailing: This is a very awesome feature. The stop-loss is set 2% away when the trades start.
When the TP1 is hit, the stop-loss will be moved to the Entry price (also called breakeven).
When the TP2 is hit, the SL is moved to the previous TP1 position
- Fixed: Set the Stop-Loss at a fixed position (value should be in currency/units)
Take Profits Management
You can manage up to 2 take profit levels defined as a percentage or price value.
The expected input is in percentage value (for instance, setting the % target of TP1 to 2% will set the TP1 level 2% away from the entry price
4.4 Built-in Trade Manager
This is very likely the most loved utility script that we shared on TradingView.
It's included in your Algorithm Builder - Single Trend+, and will certainly help you immensely to analyze your charts and your trades.
We made sure that all the graphical elements on the chart will be updated in real-time whenever our user change anything on the indicator configuration.
You'll also be able to change the Trade Manager labels positions as you wish :)
4.5 Built-in Risk-to-Reward Panel
The good stuff doesn't stop here.
You'll notice that this sometimes green (when in a LONG), sometimes red (when in a SHORT) panel at the right of your chart.
It displays for the selected trading algorithmic (see 2.3.2 above), a ton of useful real-time analytics.
- Entry Price: the price when the Algorithm Builder will give a signal.
- The Trade PnL in percentage.
- Entry Stop Loss: Distance (in currency/units) between the selected stop-loss algorithm (percent, trailing, TP trailing, etc.) and the entry price.
- Entry TP1: Distance (in currency/units) between the entry price and the first take profit
- Entry TP2: Distance (in currency/units) between the entry price and the second take profit
- Risk/Reward TP1: Using the Stop-loss distance at entry, and Take Profit 1 at entry to compute the risk-to-reward ratio.
- Risk/Reward TP2: Using the Stop-loss distance at entry, and Take Profit 2 at entry to compute the risk-to-reward ratio.
For more details, please check the guides section of my website. Links are in my signature and profile status.
4.6 Built-in PnL real-time calculations
YES!!!! you read it correctly
The panel displays the risk-to-reward ratios but also the PnL (Profit and Loss in percentage value) of the current and last trade
4.7 Hard Exits
Our trading method is known for the hard exits, also called invalidation.
The Single Trend+ includes a hard exit based on a MACD - settings are flexible and you may update them.
Having a stop-loss protecting your trade is a best practice - Protecting your stop-loss also from getting hit is incredible.
We prefer invalidate a few positions, even if sometimes we don't want to. Rather than the market hard exiting on us, and leaving with our hard-working money.
4.8 Alerts
Alerts are enabled for:
- BUY/SELL MAIN triangles signals
- BUY/SELL SECONDARY diamond signals
- Trade Manager alerts (Stop Loss, Take Profit 1, Take Profit 2)
- Hard Exits
V. Pain points that we're trying to solve with our Algorithm Builders
Issue #1 There are many informations / indicators / strategies / backtests / noise. Finding the right ones is not a simple task.
Solution #1 A reliable system that removes the external noise is much needed in trading to stay "in the game".
Issue #2 Trading could be quite stressful - The majority doesn't lose in trading because technical analysis is hard, but because managing our psychology is one of the hardest things a human can do.
Solution #2 Some ways to reduce the "trading stress" could be: getting better quality signals and trading like a "machine". Forgetting about Twitter and trusting the system you designed.
Issue #3 Trading without strict rules and only based on what we feel, or what we think the market should do is the fastest way to kiss our money goodbye.
Only 1 indicator generally is not enough. Traders generally use a combination of several indicators but they're monitoring them individually.
It's normal then to feel exhausted at the end of the day ^^ (to say the least)... and exhaustion leads to mistakes which leads to..... (I'm sure you got it) ... capital loss.
Solution #3 As a trader, I needed a trading framework and a method. I offer our trading method but they're plenty others out there. We cannot claim obviously it's the best ever ....but let's say we're using those exact same
scripts ourselves for our trading. And this what we've been recommending our clients to trade with for the past years. Also, having a tool detecting the convergence of several indicators and giving 1 unique signal
for BUY/SELL position will save you a lot of time/energy, and perhaps might help you out getting better trading performance.
VI. Resolving a complex puzzle and having fun in the process
Trading has to stay a passion and not (only be) a source of intense stress.
The most successful traders I know are "trading geeks" - literally always looking for optimizing, searching for the best possible entries, setups, indicators, tools, etc.
For them, it's not even about the money anymore, but only about beating their previous performance.
Why are they doing this? Because it's fun
Might appears as a bold statement, but I guarantee that looking for setups is fun.
One of our users even told us, that it's like playing with "Legos" and we couldn't possibly agree more.
VII. Designing a system that "makes sense"
Another bold statement now. Brace yourselves ladies and gentlemen
The Algorithm Builders allow to design trading systems quickly. What could takes days/weeks/months to find out... might be now within your reach in less than a few hours.
With a bit of practice, less than an hour might be enough per asset/timeframe to find a system that makes sense to you and adapted to your trading capital and psychology.
Assuming our users read our guides and are fully committed to learning a new way of trading - then we do guarantee you'll be able to design kick-ass trading systems that make sense.
"Making sense" doesn't mean at all it's guaranteed to win, it means you're the one defining the convergence of indicators, using your Algorithm Builder, and observe that most of the time - whenever there is a BUY signal, the candlesticks are going upwards - whenever there is a SELL signal, it's going downwards.
This is a necessary step to make real progress from a trading analyst perspective - and hopefully could lead to profits.
VII. Algorithm Builder versus the main trader enemy(=psychology)
This indicator has the goal to help solving one of the MAIN issues encountered by traders.
Most of traders realize, they can't perform with only 1 indicator (or 1 price pattern or 1 price action) and need a combination of multiple indicators before getting in a trade.
Far from being a magic pill, if it could at least reduce the stress you have while trading, then we'll consider we made a great job - it's a technical "useless noise remover", and needs to be followed strictly.
Such trust in a trading system can only be built by testing your Algorithm Builder configuration on either:
1. a demo account
2. or a live account with small bids. And then, increasing progressively the bids if your capital increases progressively.
Though, you should still use your common sense. (for instance: if we get a BUY signal right on a big timeframe resistance we're hitting for the first time).
I'm aware this is a new way of trading but for many, and while we cannot foresee the future, neither predict performance, we believe it might save you a lot of time to find good signals.
My maximum level of happiness will be reached the day when our users will contact me and showing me setups being mine.
I'm sure that even I can learn from my users and, we can all learn from each other Algorithm Builder configuration
VIII. What is a wrong or bad configuration?
Simply put. If you see that most of your signals react such as described below:
1. a buy triangle/diamond predicts, most of the time an upwards move
2. a sell triangle/diamond predicts, most of the time a downwards move
3. you estimated yourself the stop-loss needed to give enough room for your trades.
4. take profits based on algorithmic support and resistances or your own take profit method.
So what's a good Algorithm Builder configuration? A configuration you're happy with and makes sense.
A better Algorithm Builder setup is one used in demo or a live account w/ small bids for a few weeks, and you're consistent in your trading performance.
If you have any doubt or question, please hit me up directly or ask in the comments section of this script.
I'll never claim I have the best trading methodology or the best indicators. You only will be the judge, and I'll appreciate all the questions and feedback you're sending my way.
They help me a ton to develop indicators based on all the requests I received.
Kind regards,
Dave
[Kpt-Ahab] Simple AlgoPilot Riskmgt and Backtest Simple AlgoPilot Riskmgt and Backtest
This script provides a compact solution for automated risk management and backtesting within TradingView.
It offers the following core functionalities:
Risk Management:
The system integrates various risk limitation mechanisms:
Percentage-based or trailing stop-loss
Maximum losing streak limitation
Maximum drawdown limitation relative to account equity
Flexible position sizing control (based on equity, fixed size, or contracts)
Dynamic repurchasing of positions ("Repurchase") during losses with adjustable size scaling
Supports multi-stage take-profit targets (TP1/TP2) and automatic stop-loss adjustment to breakeven
External Signal Processing for Backtesting:
In addition to its own moving average crossovers, the script can process external trading signals:
External signals are received via a source input variable (e.g., from other indicators or signal generators)
Positive values (+1) trigger long positions, negative values (–1) trigger short positions
This allows for easy integration of other indicator-based strategies into backtests
Additional Backtesting Features:
Selection between different MA types (SMA, EMA, WMA, VWMA, HMA)
Flexible time filtering (trade only within defined start and end dates)
Simulation of commission costs, slippage, and leverage
Optional alert functions for moving average crossovers
Visualization of liquidation prices and portfolio development in an integrated table
Note: This script is primarily intended for strategic backtesting and risk setting optimization.
Real-time applications should be tested with caution. All order executions, alerts, and risk calculations are purely simulation-based.
Explanation of Calculations and Logics:
1. Risk Management and Position Sizing:
The position size is calculated based on the user’s choice using three possible methods:
Percentage of Equity:
The position size is a defined fraction of the available capital, dynamically adjusted based on market price (riskPerc / close).
Fixed Size (in currency): The user defines a fixed monetary amount to be used per trade.
Contracts: A fixed number of contracts is traded regardless of the current price.
Leverage: The selected leverage multiplies the position size for margin calculations.
2. Trade Logic and Signal Triggering:
Trades can be triggered through two mechanisms:
Internal Signals:
When a fast moving average crosses above or below a slower moving average (ta.crossover, ta.crossunder). The type of moving averages (SMA, EMA, WMA, VWMA, HMA) can be freely selected.
External Signals:
Signals from other indicators can be received via an input source field.
+1 triggers a long entry, –1 triggers a short entry.
Position Management:
Once entered, the position is actively managed.
Multiple take-profit targets are set.
Upon reaching a profit target, the stop-loss can optionally be moved to breakeven.
3. Stop-Loss and Take-Profit Logic:
Stop-Loss Types:
Fixed Percentage Stop:
A fixed distance below/above the entry price.
Trailing Stop:
Dynamically adjusts as the trade moves into profit.
Fast Trailing Stop:
A more aggressive variant of trailing that reacts quicker to price changes.
Take-Profit Management:
Two take-profit targets (TP1 and TP2) are supported, allowing partial exits at different stages.
Remaining positions can either reach the second target or be closed by the stop-loss.
4. Repurchase Strategy ("Scaling In" on Losses):
If a position reaches a specified loss threshold (e.g., –15%), an automatic additional purchase can occur.
The position size is increased by a configurable percentage.
Repurchases happen only if an initial position is already open.
5. Backtesting Control and Filters:
Time Filters:
A trading period can be defined (start and end date).
All trades outside the selected period are ignored.
Risk Filters: Trading is paused if:
A maximum losing streak is reached.
A maximum allowed drawdown is exceeded.
6. Liquidation Calculation (Simulation Only):
The script simulates liquidation prices based on the account balance and position size.
Liquidation lines are drawn on the chart to better visualize potential risk exposure.
This is purely a visual aid — no real broker-side liquidation is performed.
Dskyz Adaptive Futures Edge (DAFE)imgur.com/a/igj9lFj
Dskyz Adaptive Futures Edge (DAFE) is a futures trading strategy designed to adapt dynamically to market volatility and price action using a blend of technical indicators. The strategy combines adaptive moving averages, optional RSI filtering, candlestick pattern recognition, and multi-timeframe trend analysis to generate long and short trade signals. It incorporates robust risk management techniques including ATR-based stop-losses and trailing stops, ensuring trades are sized and managed within sustainable risk limits.
Key Components and Logic
-Adaptive Moving Averages
Dynamic Calculation: Fast and slow Simple Moving Averages (SMAs) adapt to changing volatility, making them sensitive to high-momentum shifts and smoothing during quieter price action.
Signal Generation: Entry signals are triggered when the fast SMA crosses the slow SMA in conjunction with price direction confirmation (e.g., price above both for long positions).
-RSI Filtering (Optional)
Momentum Confirmation: The RSI filter provides momentum confirmation to avoid overextended entries. It can be toggled on or off for both long and short conditions.
User Control: Adjustable parameters such as lookback period, oversold/overbought thresholds, and enable/disable switches give full control over its influence.
-Candlestick Pattern Recognition
Engulfing Logic: Recognizes strong bullish or bearish engulfing patterns with configurable strength criteria like range and volume. Patterns are filtered by trend direction and strength for confirmation.
Signal Conflict Handling: When both bullish and bearish engulfing patterns occur within the lookback window, the strategy avoids entry to reduce whipsaws in indecisive markets.
-Multi-Timeframe Trend Filter
Higher Timeframe Filtering: Incorporates 15-minute trend direction as a macro-level filter to align intrabar trades with larger trend momentum.
Smoothed Entry Logic: Prevents entering trades that go against the broader market structure, reducing false signals in choppy or low-conviction moves.
-Trade Execution and Risk Management
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Entry Logic
Priority System: Users can define whether moving average signals or candlestick patterns should take priority when both are present.
Volume & Volatility Checks: Ensures sufficient market participation and action before entering a position, improving the odds of reliable follow-through.
Stop-Loss and Trailing Exit
ATR-Based Initial Stops: Dynamically adjusts stop-loss distance based on market volatility using a multiple of ATR (Average True Range), keeping risk proportional to price swings.
Trailing Stop: Protects open profits and enables winners to run by following price action at a set distance (also ATR-based).
-Cooldown Period & Minimum Bar Hold (Trade Discipline Logic)
Cooldown Bars: After an exit, the strategy imposes a mandatory pause before opening a new position.
Why: This avoids rapid-fire re-entries triggered by minor fluctuations that could lead to overtrading and degradation of profitability.
Minimum Bar Hold: A trade must be held for a minimum number of bars before it can be exited.
Why: This prevents the strategy from immediately exiting trades due to fleeting volatility spikes, which previously caused premature exits that often reversed back in favor of the original signal. This ensures trades have adequate time to develop, filtering out noise from true reversals.
-Visual Elements and Transparency Tools
Chart Overlays: Moving averages, RSI values, and trade entry/exit points are shown directly on the chart for complete visibility.
Dashboard UI: Displays critical live metrics—current position, PnL, time held, ATR values, etc.
Debug Logs: Optional toggles allow verbose condition tracking for deep inspection into why a trade occurred (or didn't), useful for both live optimization and debugging.
-Input Parameter Reference Guide
Input Name Function & Suggested Use
Use RSI Filter - Enables or disables RSI-based entry confirmation. Disable if price action alone is desired for entry decisions.
RSI Length - RSI lookback period. Lower values (e.g., 7–14) are more responsive; higher values reduce false signals.
Overbought / Oversold Levels - Used to detect exhaustion zones. E.g., avoid long entries above 70 or short entries below 30.
Use Candlestick Patterns - Enable detection of bullish/bearish engulfing patterns as trade signals. Disable to rely only on trend/MA.
Pattern Strength Thresholds (Range, Volume) - Filters out weak engulfing signals. Higher values require stronger patterns to trigger.
Use 15min Trend Filter - Adds multi-timeframe trend confirmation. Recommended for filtering entries against larger trend direction.
Fast MA - Base Length for fast adaptive moving average. Suggested: 10–25.
Slow MA - Base length for slow adaptive moving average. Suggested: 30–60.
Volatility Sensitivity Multiplier - Multiplies volatility adjustments for adaptive MA length. Higher = more reactive to volatility.
Entry Volume Filter - Filters out trades during low volume. Recommended to prevent entries in illiquid conditions.
ATR Length - Lookback period for ATR calculation. Suggested: 14.
Trailing Stop ATR Offset - Defines how far the stop-loss is from entry. 1.5–2.5 is typical for medium-volatility environments.
Trailing Stop ATR Multiplier - Determines trailing stop distance. 1.5 is tight; 3+ gives more room for trending trades.
Cooldown Bars After Exit - Prevents immediate re-entries. Suggested: 3–10 bars depending on timeframe.
Minimum Bars to Hold Trade - Ensures trades are held long enough to avoid knee-jerk exits. Suggested: 5–10 for intraday strategies.
Trading Hours (Start / End) - Sets the window of allowed trading. Prevents entries outside key session times (e.g., avoid pre-market).
Enable Logging / Debugging - Shows internal trade decision data for tuning and understanding the logic.
Compliance with TradingView Regulations
Realistic Backtesting: The strategy uses proper initial capital, fixed trade quantities, and risk parameters to reflect realistic scenarios.
Transparent Trade Logic: Every condition used for signal generation is documented and controllable by the user. Users can view each signal's rationale.
Risk Mitigation: Cooldown bars, ATR stops, and minimum trade duration ensure the strategy behaves predictably and prevents reckless trade behavior.
Customization: Full control over each module (MA, RSI, Candlestick, Trend, etc.) gives users the ability to tailor the strategy to suit various futures contracts or timeframes.
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Summary
DAFE was built for high-stakes micro futures trading environments such as the MNQ, where milliseconds of volatility matter. This strategy's modular architecture, adaptive logic, and advanced risk controls make it an ideal framework for scalpers and swing traders alike.
BTCUSDT.P
Backtesting: www.dropbox.com
Deep Backtesting:
www.dropbox.com
****Currently testing on a prop account.
Caution Statement
This strategy is designed for educational and experimental purposes and should not be considered financial advice or a guaranteed method of profitability. While the DAFE (Dskyz Adaptive Futures Edge) strategy incorporates advanced filters, adaptive logic, and volatility-based risk management, its performance is subject to market conditions, data accuracy, and user configuration.
Futures trading involves substantial risk, and the leverage inherent in futures contracts can amplify both gains and losses. This strategy may execute trades rapidly and frequently under certain conditions—particularly when filters are disabled or thresholds are set too tightly—potentially leading to increased slippage, commissions, or unanticipated losses.
Users are strongly advised to:
Backtest thoroughly across various market regimes.
Adjust parameters responsibly and understand the implication of each input.
Paper trade in a simulated environment before going live.
Monitor trades actively and use discretion when market volatility increases.
-By using this strategy, you accept all risks and responsibility for any trading decisions made based on its output.
Mogwai Method with RSI and EMA - BTCUSD 15mThis is a custom TradingView indicator designed for trading Bitcoin (BTCUSD) on a 15-minute timeframe. It’s based on the Mogwai Method—a mean-reversion strategy—enhanced with the Relative Strength Index (RSI) for momentum confirmation. The indicator generates buy and sell signals, visualized as green and red triangle arrows on the chart, to help identify potential entry and exit points in the volatile cryptocurrency market.
Components
Bollinger Bands (BB):
Purpose: Identifies overextended price movements, signaling potential reversions to the mean.
Parameters:
Length: 20 periods (standard for mean-reversion).
Multiplier: 2.2 (slightly wider than the default 2.0 to suit BTCUSD’s volatility).
Role:
Buy signal when price drops below the lower band (oversold).
Sell signal when price rises above the upper band (overbought).
Relative Strength Index (RSI):
Purpose: Confirms momentum to filter out false signals from Bollinger Bands.
Parameters:
Length: 14 periods (classic setting, effective for crypto).
Overbought Level: 70 (price may be overextended upward).
Oversold Level: 30 (price may be overextended downward).
Role:
Buy signal requires RSI < 30 (oversold).
Sell signal requires RSI > 70 (overbought).
Exponential Moving Averages (EMAs) (Plotted but not currently in signal logic):
Purpose: Provides trend context (included in the script for visualization, optional for signal filtering).
Parameters:
Fast EMA: 9 periods (short-term trend).
Slow EMA: 50 periods (longer-term trend).
Role: Can be re-added to filter signals (e.g., buy only when Fast EMA > Slow EMA).
Signals (Triangles):
Buy Signal: Green upward triangle below the bar when price is below the lower Bollinger Band and RSI is below 30.
Sell Signal: Red downward triangle above the bar when price is above the upper Bollinger Band and RSI is above 70.
How It Works
The indicator combines Bollinger Bands and RSI to spot mean-reversion opportunities:
Buy Condition: Price breaks below the lower Bollinger Band (indicating oversold conditions), and RSI confirms this with a reading below 30.
Sell Condition: Price breaks above the upper Bollinger Band (indicating overbought conditions), and RSI confirms this with a reading above 70.
The strategy assumes that extreme price movements in BTCUSD will often revert to the mean, especially in choppy or ranging markets.
Visual Elements
Green Upward Triangles: Appear below the candlestick to indicate a buy signal.
Red Downward Triangles: Appear above the candlestick to indicate a sell signal.
Bollinger Bands: Gray lines (upper, middle, lower) plotted for reference.
EMAs: Blue (Fast) and Orange (Slow) lines for trend visualization.
How to Use the Indicator
Setup
Open TradingView:
Log into TradingView and select a BTCUSD chart from a supported exchange (e.g., Binance, Coinbase, Bitfinex).
Set Timeframe:
Switch the chart to a 15-minute timeframe (15m).
Add the Indicator:
Open the Pine Editor (bottom panel in TradingView).
Copy and paste the script provided.
Click “Add to Chart” to apply it.
Verify Display:
You should see Bollinger Bands (gray), Fast EMA (blue), Slow EMA (orange), and buy/sell triangles when conditions are met.
Trading Guidelines
Buy Signal (Green Triangle Below Bar):
What It Means: Price is oversold, potentially ready to bounce back toward the Bollinger Band middle line.
Action:
Enter a long position (buy BTCUSD).
Set a take-profit near the middle Bollinger Band (bb_middle) or a resistance level.
Place a stop-loss 1-2% below the entry (or based on ATR, e.g., ta.atr(14) * 2).
Best Context: Works well in ranging markets; avoid during strong downtrends.
Sell Signal (Red Triangle Above Bar):
What It Means: Price is overbought, potentially ready to drop back toward the middle line.
Action:
Enter a short position (sell BTCUSD) or exit a long position.
Set a take-profit near the middle Bollinger Band or a support level.
Place a stop-loss 1-2% above the entry.
Best Context: Effective in ranging markets; avoid during strong uptrends.
Trend Filter (Optional):
To reduce false signals in trending markets, you can modify the script:
Add and ema_fast > ema_slow to the buy condition (only buy in uptrends).
Add and ema_fast < ema_slow to the sell condition (only sell in downtrends).
Check the Fast EMA (blue) vs. Slow EMA (orange) alignment visually.
Tips for BTCUSD on 15-Minute Charts
Volatility: BTCUSD can be erratic. If signals are too frequent, increase bb_mult (e.g., to 2.5) or adjust RSI levels (e.g., 75/25).
Confirmation: Use volume spikes or candlestick patterns (e.g., doji, engulfing) to confirm signals.
Time of Day: Mean-reversion works best during low-volume periods (e.g., Asian session in crypto).
Backtesting: Use TradingView’s Strategy Tester (convert to a strategy by adding entry/exit logic) to evaluate performance with historical BTCUSD data up to March 13, 2025.
Risk Management
Position Size: Risk no more than 1-2% of your account per trade.
Stop Losses: Always use stops to protect against BTCUSD’s sudden moves.
Avoid Overtrading: Wait for clear signals; don’t force trades in choppy or unclear conditions.
Example Scenario
Chart: BTCUSD, 15-minute timeframe.
Buy Signal: Price drops to $58,000, below the lower Bollinger Band, RSI at 28. A green triangle appears.
Action: Buy at $58,000, target $59,000 (middle BB), stop at $57,500.
Sell Signal: Price rises to $60,500, above the upper Bollinger Band, RSI at 72. A red triangle appears.
Action: Sell at $60,500, target $59,500 (middle BB), stop at $61,000.
This indicator is tailored for mean-reversion trading on BTCUSD. Let me know if you’d like to tweak it further (e.g., add filters, alerts, or alternative indicators)!
Smart MA Crossover BacktesterSmart MA Crossover Backtester - Strategy Overview
Strategy Name: Smart MA Crossover Backtester
Published on: TradingView
Applicable Markets: Works well on crypto (tested profitably on ETH)
Strategy Concept
The Smart MA Crossover Backtester is an improved Moving Average (MA) crossover strategy that incorporates a trend filter and an ATR-based stop loss & take profit mechanism for better risk management. It aims to capture trends efficiently while reducing false signals by only trading in the direction of the long-term trend.
Core Components & Logic
Moving Averages (MA) for Entry Signals
Fast Moving Average (9-period SMA)
Slow Moving Average (21-period SMA)
A trade signal is generated when the fast MA crosses the slow MA.
Trend Filter (200-period SMA)
Only enters long positions if price is above the 200-period SMA (bullish trend).
Only enters short positions if price is below the 200-period SMA (bearish trend).
This helps in avoiding counter-trend trades, reducing whipsaws.
ATR-Based Stop Loss & Take Profit
Uses the Average True Range (ATR) with a multiplier of 2 to calculate stop loss.
Risk-Reward Ratio = 1:2 (Take profit is set at 2x ATR).
This ensures dynamic stop loss and take profit levels based on market volatility.
Trading Rules
✅ Long Entry (Buy Signal):
Fast MA (9) crosses above Slow MA (21)
Price is above the 200 MA (bullish trend filter active)
Stop Loss: Below entry price by 2× ATR
Take Profit: Above entry price by 4× ATR
✅ Short Entry (Sell Signal):
Fast MA (9) crosses below Slow MA (21)
Price is below the 200 MA (bearish trend filter active)
Stop Loss: Above entry price by 2× ATR
Take Profit: Below entry price by 4× ATR
Why This Strategy Works Well for Crypto (ETH)?
🔹 Crypto markets are highly volatile – ATR-based stop loss adapts dynamically to market conditions.
🔹 Long-term trend filter (200 MA) ensures trading in the dominant direction, reducing false signals.
🔹 Risk-reward ratio of 1:2 allows for profitable trades even with a lower win rate.
This strategy has been tested on Ethereum (ETH) and has shown profitable performance, making it a strong choice for crypto traders looking for trend-following setups with solid risk management. 🚀
Breaks and Retests - Free990Strategy Description: "Breaks and Retests - Free990"
The "Breaks and Retests - Free990" strategy is based on identifying breakout and retest opportunities for potential entries in both long and short trades. The idea is to detect price breakouts above resistance levels or below support levels, and subsequently identify retests that confirm the breakout levels. The strategy offers an automated approach to enter trades after a breakout followed by a retest, which serves as a confirmation of trend continuation.
Key Components:
Support and Resistance Detection:
The strategy calculates pivot levels based on historical price movements to define support and resistance areas. A lookback range is used to determine these key levels.
Breakouts and Retests:
The system identifies when a breakout occurs above a resistance level or below a support level.
It then waits for a retest of the previously broken level as confirmation, which is often a better entry opportunity.
Trade Direction Selection:
Users can choose between "Long Only," "Short Only," or "Both" directions for trading based on their market view.
Stop Loss and Trailing Stop:
An initial stop loss is placed at a defined percentage away from the entry.
The trailing stop loss is activated after the position gains a specified percentage in profit.
Long Entry:
A long entry is triggered if the price breaks above a resistance level and subsequently retests that level successfully.
The entry condition checks if the breakout was confirmed and if a retest was valid.
The long entry is only executed if the user-selected direction is either "Long Only" or "Both."
Short Entry:
A short entry is triggered if the price breaks below a support level and subsequently retests that level.
The short entry is only executed if the user-selected direction is either "Short Only" or "Both."
sell_condition checks whether the support has been broken and whether the retest condition is valid.
An initial stop loss is placed when the trade is opened to limit the risk if the trade moves against the position.
The stop loss is calculated based on a user-defined percentage (stop_loss_percent) of the entry price.
pinescript
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stop_loss_price := strategy.position_avg_price * (1 - stop_loss_percent / 100)
For long positions, the stop loss is placed below the entry price.
For short positions, the stop loss is placed above the entry price.
Trailing Stop:
When a position achieves a certain profit threshold (profit_threshold_percent), the trailing stop mechanism is activated.
For long positions, the trailing stop follows the highest price reached, ensuring that some profit is locked in if the price reverses.
For short positions, the trailing stop follows the lowest price reached.
Code Logic for Trailing Stop:
Exit Execution:
The strategy exits the position when the price hits the calculated stop loss level.
This includes both the initial stop loss and the trailing stop that adjusts as the trade progresses.
Code Logic for Exit:
Summary:
Breaks and Retests - Free990 uses support and resistance levels to identify breakouts, followed by retests for confirmation.
Entry Points: Triggered when a breakout is confirmed and a retest occurs, for both long and short trades.
Exit Points:
Initial Stop Loss: Limits risk for both long and short trades.
Trailing Stop Loss: Locks in profits as the price moves in favor of the position.
This strategy aims to capture the momentum after breakouts and minimize losses through effective use of stop loss and trailing stops. It gives the flexibility of selecting trade direction and ensures trades are taken with confirmation through the retest, which helps to reduce false breakouts.
Original Code by @HoanGhetti
Crypto Volatility Bitcoin Correlation Strategy Description:
The Crypto Volatility Bitcoin Correlation Strategy is designed to leverage market volatility specifically in Bitcoin (BTC) using a combination of volatility indicators and trend-following techniques. This strategy utilizes the VIXFix (a volatility indicator adapted for crypto markets) and the BVOL7D (Bitcoin 7-Day Volatility Index from BitMEX) to identify periods of high volatility, while confirming trends with the Exponential Moving Average (EMA). These components work together to offer a comprehensive system that traders can use to enter positions when volatility and trends are aligned in their favor.
Key Features:
VIXFix (Volatility Index for Crypto Markets): This indicator measures the highest price of Bitcoin over a set period and compares it with the current low price to gauge market volatility. A rise in VIXFix indicates increasing market volatility, signaling that large price movements could occur.
BVOL7D (Bitcoin 7-Day Volatility Index): This volatility index, provided by BitMEX, measures the volatility of Bitcoin over the past 7 days. It helps traders monitor the recent volatility trend in the market, particularly useful when making short-term trading decisions.
Exponential Moving Average (EMA): The 50-period EMA acts as a trend indicator. When the price is above the EMA, it suggests the market is in an uptrend, and when the price is below the EMA, it suggests a downtrend.
How It Works:
Long Entry: A long position is triggered when both the VIXFix and BVOL7D indicators are rising, signaling increased volatility, and the price is above the 50-period EMA, confirming that the market is trending upward.
Exit: The strategy exits the position when the price crosses below the 50-period EMA, which signals a potential weakening of the uptrend and a decrease in volatility.
This strategy ensures that traders only enter positions when the volatility aligns with a clear trend, minimizing the risk of entering trades during periods of market uncertainty.
Testing and Timeframe:
This strategy has been tested on Bitcoin using the daily timeframe, which provides a longer-term perspective on market trends and volatility. However, users can adjust the timeframe according to their trading preferences. It is crucial to note that this strategy does not include comprehensive risk management, aside from the exit condition when the price crosses below the EMA. Users are strongly advised to implement their own risk management techniques, such as setting appropriate stop-loss levels, to safeguard their positions during high volatility periods.
Utility:
The Crypto Volatility Bitcoin Correlation Strategy is particularly well-suited for traders who aim to capitalize on the high volatility often seen in the Bitcoin market. By combining volatility measurements (VIXFix and BVOL7D) with a trend-following mechanism (EMA), this strategy helps identify optimal moments for entering and exiting trades. This approach ensures that traders participate in potentially profitable market moves while minimizing exposure during times of uncertainty.
Use Cases:
Volatility-Based Entries: Traders looking to take advantage of market volatility spikes will find this strategy useful for timing entry points during market swings.
Trend Confirmation: By using the EMA as a confirmation tool, traders can avoid entering trades that go against the trend, which can result in significant losses during volatile market conditions.
Risk Management: While the strategy exits when price falls below the EMA, it is important to recognize that this is not a full risk management system. Traders should use caution and integrate additional risk measures, such as stop-losses and position sizing, to better manage potential losses.
How to Use:
Step 1: Monitor the VIXFix and BVOL7D indicators. When both are rising and the Bitcoin price is above the EMA, the strategy will trigger a long entry, indicating that the market is experiencing increased volatility with a confirmed uptrend.
Step 2: Exit the position when the price drops below the 50-period EMA, signaling that the trend may be reversing or weakening, reducing the likelihood of continued upward price movement.
This strategy is open-source and is intended to help traders navigate volatile market conditions, particularly in Bitcoin, using proven indicators for volatility and trend confirmation.
Risk Disclaimer:
This strategy has been tested on the daily timeframe of Bitcoin, but users should be aware that it does not include built-in risk management except for the below-EMA exit condition. Users should be extremely cautious when using this strategy and are encouraged to implement their own risk management, such as using stop-losses, position sizing, and setting appropriate limits. Trading involves significant risk, and this strategy does not guarantee profits or prevent losses. Past performance is not indicative of future results. Always test any strategy in a demo environment before applying it to live markets.
Fractal Breakout Trend Following StrategyOverview
The Fractal Breakout Trend Following Strategy is a trend-following system which utilizes the Willams Fractals and Alligator to execute the long trades on the fractal's breakouts which have a high probability to be the new uptrend phase beginning. This system also uses the normalized Average True Range indicator to filter trades after a large moves, because it's more likely to see the trend continuation after a consolidation period. Strategy can execute only long trades.
Unique Features
Trend and volatility filtering system: Strategy uses Williams Alligator to filter the counter-trend fractals breakouts and normalized Average True Range to avoid the trades after large moves, when volatility is high
Configurable Trading Periods: Users can tailor the strategy to specific market windows, adapting to different market conditions.
Flexible Risk Management: Users can choose the stop-loss percent (by default = 3%) for trades, but strategy also has the dynamic stop-loss level using down fractals.
Methodology
The strategy places stop order at the last valid fractal breakout level. Validity of this fractal is defined by the Williams Alligator indicator. If at the moment of time when price breaking the last fractal price is higher than Alligator's teeth line (8 period SMA shifted 5 bars in the future) this is a valid breakout. Moreover strategy has the additional volatility filtering system using normalized ATR. It calculates the average normalized ATR for last user-defined number of bars and if this value lower than the user-defined threshold value the long trade is executed.
When trade is opened, script places the stop loss at the price higher of two levels: user defined stop-loss from the position entry price or down fractal validation level. The down fractal is valid with the rule, opposite as the up fractal validation. Price shall break to the downside the last down fractal below the Willians Alligator's teeth line.
Strategy has no fixed take profit. Exit level changes with the down fractal validation level. If price is in strong uptrend trade is going to be active until last down fractal is not valid. Strategy closes trade when price hits the down fractal validation level.
Risk Management
The strategy employs a combined approach to risk management:
It allows positions to ride the trend as long as the price continues to move favorably, aiming to capture significant price movements. It features a user-defined stop-loss parameter to mitigate risks based on individual risk tolerance. By default, this stop-loss is set to a 3% drop from the entry point, but it can be adjusted according to the trader's preferences.
Justification of Methodology
This strategy leverages Williams Fractals to open long trade when price has broken the key resistance level to the upside. This resistance level is the last up fractal and is shall be broken above the Williams Alligator's teeth line to be qualified as the valid breakout according to this strategy. The Alligator filtering increases the probability to avoid the false breakouts against the current trend.
Moreover strategy has an additional filter using Average True Range(ATR) indicator. If average value of ATR for the last user-defined number of bars is lower than user-defined threshold strategy can open the long trade according to open trade condition above. The logic here is following: we want to open trades after period of price consolidation inside the range because before and after a big move price is more likely to be in sideways, but we need a trend move to have a profit.
Another one important feature is how the exit condition is defined. On the one hand, strategy has the user-defined stop-loss (3% below the entry price by default). It's made to give users the opportunity to restrict their losses according to their risk-tolerance. On the other hand, strategy utilizes the dynamic exit level which is defined by down fractal activation. If we assume the breaking up fractal is the beginning of the uptrend, breaking down fractal can be the start of downtrend phase. We don't want to be in long trade if there is a high probability of reversal to the downside. This approach helps to not keep open trade if trend is not developing and hold it if price continues going up.
Backtest Results
Operating window: Date range of backtests is 2023.01.01 - 2024.05.01. It is chosen to let the strategy to close all opened positions.
Commission and Slippage: Includes a standard Binance commission of 0.1% and accounts for possible slippage over 5 ticks.
Initial capital: 10000 USDT
Percent of capital used in every trade: 30%
Maximum Single Position Loss: -3.19%
Maximum Single Profit: +24.97%
Net Profit: +3036.90 USDT (+30.37%)
Total Trades: 83 (28.92% win rate)
Profit Factor: 1.953
Maximum Accumulated Loss: 963.98 USDT (-8.29%)
Average Profit per Trade: 36.59 USDT (+1.12%)
Average Trade Duration: 72 hours
These results are obtained with realistic parameters representing trading conditions observed at major exchanges such as Binance and with realistic trading portfolio usage parameters.
How to Use
Add the script to favorites for easy access.
Apply to the desired timeframe and chart (optimal performance observed on 4h and higher time frames and the BTC/USDT).
Configure settings using the dropdown choice list in the built-in menu.
Set up alerts to automate strategy positions through web hook with the text: {{strategy.order.alert_message}}
Disclaimer:
Educational and informational tool reflecting Skyrex commitment to informed trading. Past performance does not guarantee future results. Test strategies in a simulated environment before live implementation
IsAlgo - Support & Resistance Strategy► Overview:
The Support & Resistance Strategy is designed to identify critical support and resistance levels and execute trades when the price crosses these levels. Utilizing a combination of a moving average, ATR indicator, and the highest and lowest prices, this strategy aims to accurately pinpoint entry and exit points for trades based on market movements.
► Description:
The Support & Resistance Strategy leverages the ATR (Average True Range) and a moving average to identify key support and resistance levels. The strategy calculates these levels by measuring the distance between the current market price and the moving average. This distance is continuously compared with each new candle to provide an estimate of the support and resistance levels.
The ATR is utilized to determine the width of these levels, ensuring they adjust to market volatility. To validate these levels, the strategy counts how often a candle’s low or high touches the estimated support or resistance and then bounces back. A higher frequency of such touches indicates a stronger, more reliable level.
Once the levels are confirmed, the strategy waits for a candle to close above the resistance level or below the support level. A candle closing above the resistance triggers a long entry, while a candle closing below the support triggers a short entry.
The strategy incorporates multiple stop-loss options to manage risk effectively. These options include setting stop-loss levels based on fixed pips, ATR calculations, or the highest/lowest prices of previous candles. Up to three take-profit levels can be set using fixed pips, ATR, or risk-to-reward ratios. A trailing stop feature adjusts the stop loss as the trade moves into profit, and a break-even feature moves the stop loss to the entry price once a certain profit level is reached.
Additionally, the strategy can close trades if the price crosses the opposite support or resistance level or if a candle moves significantly against the trade direction.
↑ Long Entry Example:
↓ Short Entry Example:
► Features & Settings:
⚙︎ Levels: Configure the length, width, and ATR period for support and resistance levels.
⚙︎ Moving Average: Use an Exponential Moving Average (EMA) to confirm trend direction. This can be enabled or disabled.
⚙︎ Entry Candle: Define the minimum and maximum body size and the body-to-candle size ratio for entry candles.
⚙︎ Trading Session: Specify the trading hours during which the strategy operates.
⚙︎ Trading Days: Select which days of the week the strategy is active.
⚙︎ Backtesting: Set a backtesting period with start and end dates. This feature can be deactivated.
⚙︎ Trades: Customize trade direction (long, short, or both), position sizing (fixed or percentage-based), maximum open trades, and daily trade limits.
⚙︎ Trades Exit: Choose from various exit methods, including profit/loss limits, trade duration, or crossing the opposite support/resistance level.
⚙︎ Stop Loss: Set stop-loss levels using fixed pips, ATR-based calculations, or the highest/lowest price within a specified number of previous candles.
⚙︎ Break Even: Adjust the stop loss to break-even once certain profit conditions are met.
⚙︎ Trailing Stop: Automatically adjust the stop loss as the trade moves into profit.
⚙︎ Take Profit: Define up to three take-profit levels using fixed pips, ATR, or risk-to-reward ratios based on the stop loss.
⚙︎ Alerts: Receive alerts for significant actions such as trade openings and closings, with support for dynamic values.
⚙︎ Dashboard: A visual display on the chart providing detailed information about ongoing and past trades.
► Backtesting Details:
Timeframe: 1-hour US30 chart
Initial Balance: $10,000
Order Size: 5 Units
Commission: $0.5 per contract
Slippage: 5 ticks
Stop Loss: Based on the opposite support/resistance level or break-even adjustments
Momentum Alligator 4h Bitcoin StrategyOverview
The Momentum Alligator 4h Bitcoin Strategy is a trend-following trading system that operates on dual time frames. It utilizes the 1D Williams Alligator indicator to identify the prevailing major price trend and seeks trading opportunities on the 4-hour (4h) time frame when the momentum is turning up. The strategy is designed to close trades if the trend fails to develop or holding position if price continues increasing without any significant correction. Note that this strategy is specifically tailored for the 4-hour time frame.
Unique Features
2-layers market noise filtering system: Trades are only initiated in the direction of the 1D trend, determined by the Williams Alligator indicator. This higher time frame confirmation filters out minor trade signals, focusing on more substantial opportunities. At the same time, strategy has additional filter on 4h time frame with Awesome Oscillator which is showing the current price momentum.
Flexible Risk Management: The strategy exclusively opens long positions, resulting in fewer trades during bear markets. It incorporates a dynamic stop-loss mechanism, which can either follow the jaw line of the 4h Alligator or a user-defined fixed stop-loss. This flexibility helps manage risk and avoid non-trending markets.
Methodology
The strategy initiates a long position when the d-line of Stochastic RSI crosses up it's k-line. It means that there is a high probability that price momentum reversed from down to up. To avoid overtrading in potentially choppy markets, it skips the next two trades following a winning trade, anticipating sideways movement after a significant price surge.
This strategy has two layers trades filtering system: 4h and 1D time frames. The first one is awesome oscillator. It shall be increasing and value has to be higher than it's 5-period SMA. This is an additional confirmation that long trade is opened in the direction of the current momentum. As it was mentioned above, all entry signals are validated against the 1D Williams Alligator indicator. A trade is only opened if the price is above all three lines of the 1D Alligator, ensuring alignment with the major trend.
A trade is closed if the price hits the 4h jaw line of the Alligator or reaches the user-defined stop-loss level.
Risk Management
The strategy employs a combined approach to risk management:
It allows positions to ride the trend as long as the price continues to move favorably, aiming to capture significant price movements. It features a user-defined stop-loss parameter to mitigate risks based on individual risk tolerance. By default, this stop-loss is set to a 2% drop from the entry point, but it can be adjusted according to the trader's preferences.
Justification of Methodology
This strategy leverages Stochastic RSI on 4h time frame to open long trade when momentum started reversing to the upside. On the one hand, Stochastic RSI is one of the most sensitive indicator, which allows to react fast on the potential trend reversal. On the other hand, this indicator can be too sensitive and provide a lot of false trend changing signals. To eliminate this weakness we use two-layers trades filtering system.
The first layer is the 4h Awesome oscillator. This is less sensitive momentum indicator. Usually it starts increasing when price has already passed significant distance from the actual reversal point. The strategy opens long trade only is Awesome oscillator is increasing and above it's 5-period SMA. This approach increases the probability to filter the false signals during the choppy market or if the reversal is false.
The second layer filter is the Williams Alligator indicator on 1D time frame. The 1D Alligator serves as a filter for identifying the primary trend and increases probability to avoid the trades with low potential because trading against major trend usually is more risky. It's much better to catch the trend continuation than local bounce.
Last but not least feature of this strategy is close trades condition. It uses the flexible approach. First of all, user can set up the fixed stop-loss according to his own risk-tolerance, by default this value is 2% of price movement. It restricts the potential loss at the moment when trade has just been opened. Moreover strategy utilizes the 4h Williams Alligator's jaw line to exit the trade. If price fell below it trade is closed. This approach helps to not keep open trade if trend is not developing and hold it if price continues going up.
Backtest Results:
Operating window: Date range of backtests is 2021.01.01 - 2024.05.01. It is chosen to let the strategy to close all opened positions.
Commission and Slippage: Includes a standard Binance commission of 0.1% and accounts for possible slippage over 5 ticks.
Initial capital: 10000 USDT
Percent of capital used in every trade: 50%
Maximum Single Position Loss: -3.04%
Maximum Single Profit: +29.67%
Net Profit: +6228.01 USDT (+62.28%)
Total Trades: 118 (24.58% win rate)
Profit Factor: 1.71
Maximum Accumulated Loss: 1527.69 USDT (-11.52%)
Average Profit per Trade: 52.78 USDT (+0.89%)
Average Trade Duration: 60 hours
These results are obtained with realistic parameters representing trading conditions observed at major exchanges such as Binance and with realistic trading portfolio usage parameters.
How to Use:
Add the script to favorites for easy access.
Apply to the 4h timeframe desired chart (optimal performance observed on the BTC/USDT).
Configure settings using the dropdown choice list in the built-in menu.
Set up alerts to automate strategy positions through web hook with the text: {{strategy.order.alert_message}}
Disclaimer:
Educational and informational tool reflecting Skyrex commitment to informed trading. Past performance does not guarantee future results. Test strategies in a simulated environment before live implementation
Range Average Retest Model [LuxAlgo]The Range Average Retest Model tool highlights setups from the range average retest entry model, a model using the retest of the average between two opposite swing points as an entry.
This tool uses long-term volatility coupled with user-defined multipliers to filter out swing areas and set take profit and stop loss levels for all trades.
Key features include:
Draw up to 165 swing areas and their associated trades
Filter out swing areas using Pivot Length , Selection Mode and Threshold parameters
Filter out trades with Maximum Distance and Minimum Distance parameters
Enable or disable swing areas and select default colors
Enable or disable overlapping trades and change the default colors for Take Profit and Stop Loss zones
🔶 USAGE
The "Range Average Retest Model" is an entry model that enters a position when the price retests the average made between two swing points. Users can determine the period of the detected swing points from the "Pivot Length" setting.
The conditions for long or short trades, regardless of whether the swing area is bullish or bearish, are as follows:
Long positions: the current bar close is below the swing area average and the last bar close was above it.
Short positions: the current bar close is above the swing area average price and the last bar close was below it.
Each trade is displayed on the chart with a line connecting it to its swing area highlighting the range average, a green area for the take profit, and a red area for the stop loss.
Both the Take Profit and Stop Loss levels are calculated by applying your own multiplier in the settings panel to the long-term volatility measure, in this case, the average true range over the last 200 bars.
Trades will remain open until they reach either the Stop Loss or Take Profit price levels.
🔹 Filtering Swing Areas
The daily chart of the Nasdaq-100 futures (NQ) with pivot length 2 and bullish selection mode: it only detects bullish swing areas, but they are smaller and more numerous.
Traders can manipulate the behavior of the swing areas from the settings panel.
The Selection mode will filter areas by bias: it will detect bullish areas, bearish areas, or both.
The Threshold parameter is applied to the long-term volatility to filter out areas where the average prices are too close together; the higher the value, the greater the difference between the average prices must be.
🔹 Trades
3-minute chart of the Nasdaq-100 futures (NQ) with pivot length 5, bearish selection mode maximum distance 4, and stop loss 2: many trades detected with very asymmetric risk/reward.
The behavior of the trades is also manipulated from the settings panel.
The maximum and minimum distance parameters specify the number of bars a trade must be away from a swing area.
The Take Profit and Stop Loss parameters are applied to the long-term volatility to obtain their respective price levels.
🔹 Overlapping Trades
Same chart as before, but with overlapping trades: messy, right?
By default the tool does not show overlapping trades, this allows for a cleaner chart.
In the settings panel traders can enable overlapping mode, in which case the tool will show all available trades.
Traders must be aware that the chart can be very crowded.
🔶 SETTINGS
🔹 Swings
Pivot Length: How many bars are used to confirm a swing point. The larger this parameter is, the larger and fewer swing areas will be detected.
Selection Mode: Swing area detection mode, detect only bullish swings, only bearish swings, or both.
Threshold: Swing area comparator. This threshold is multiplied by a measure of volatility (average true range over the last 200 bars), for a new swing area to be detected it must have an average level that is sufficiently distant from the average level of any untouched swing area, this parameter controls that distance.
🔹 Trades
Maximum distance: Maximum distance allowed between a swing area and a trade.
Minimum distance: Minimum distance allowed between a swing area and a trade.
Take profit: The size of the take profit - this threshold is multiplied by a measure of volatility (the average true range over the last 200 bars).
Stop loss: The size of the stop-loss: this threshold is multiplied by a measure of volatility (the average true range over the last 200 bars).
Myfractalrange TrendHello Traders!
This is our main addition to MFR TradingView account: Myfractalrange Trend.
Many Trend signals exist out there, each trader has at some point created its own.
At Myfractalrange, we have developed a proprietary formula based on Price, Volume and Volatility.
Before going into how subscribers can use the Trend script, let't have a look at the different data point provided one by one:
- Bullish Trend: If the price of the asset is above this value, the asset is considered to be Bullish Trend. Default colour is green
- Bearish Trend : If the price of the asset is below this value, the asset is considered to be Bearish Trend. Default colour is red
- Neutral Trend: If the price of the asset is between the value of the Bullish Trend and the value of the Bearish Trend, the asset is considered to be Neutral Trend. Default colour is yellow
How does the script work?
The provided script is proprietary, so while the specific calculations and data sources cannot be disclosed, here is a broad explanation on how it works:
- It will retrieve the relevant data from the asset, could be volume, close, high, low, etc.
- The script will then check the length for the trend calculation of this specific asset and compute the Trend line
- From the value of this Trend line, we will then generate the "bullish" and "bearish" values
- The script will then plot the Bullish and Bearish values on the chart, the area between both being set as the Neutral area
How to use trend when trading?
When trading, understanding and utilising trends can be valuable for making informed trading decisions. Here are some key ways to use trends in trading:
- Trend Identification: Identifying the presence and direction of a trend is crucial
- Trend Following: One common trading strategy is trend following, which involves trading in the direction of the prevailing trend. In an uptrend, traders may look for opportunities to buy or go long, while in a downtrend, they may seek opportunities to sell or go short. Trend following strategies assume that trends are more likely to continue than reverse, and traders aim to capitalise on sustained price movements
- Trend Reversals: Identifying potential trend reversals is another approach. Traders may look for signs that a trend is losing momentum or showing signs of exhaustion. Traders may then consider taking contrarian positions or closing existing trades.
- Timing Entries and Exits: Trends can help with timing entry and exit points. Traders often aim to enter trades at favourable points within a trend, such as during pullbacks in an uptrend or rallies in a downtrend. This allows them to potentially capture favourable risk-to-reward ratios
- Risk Management: Incorporating trend analysis into risk management is crucial. Traders can set stop-loss orders or trailing stops based on the trend, aiming to protect profits or limit losses if the trend reverses. Position sizing can also be adjusted based on the strength or duration of a trend, with larger positions taken in strong, well-established trends
- Multiple Time Frame Analysis: Examining trends across different time frames can provide a broader perspective. Traders can look for alignment in trends across shorter-term and longer-term charts to gain confidence in their trading decisions. For example, a Trend on a daily chart may align with a Trend on a hourly chart, reinforcing the potential trading opportunity
The Myfractalrange Trend signal can be used for all the possibilities listed above
Here is an example of a Bullish Trend pattern: BTFD set up
Here is an example of a Bearish Trend pattern: STFR set up
Why use Trend in combination with other indicators, such as Hurst and probable Range?
Using Trend in combination with Hurst exponent and probable Range can provide traders with a more comprehensive view of market dynamics and potential trading opportunities. Here's how the three concepts can complement each other:
- Trend Analysis: Trend analysis helps identify the prevailing direction of the market. It provides insights into whether the market is in an uptrend (Bullish), downtrend (Bearish), or sideways consolidation (Neutral). Trend analysis helps traders align their positions with the dominant market direction, increasing the likelihood of successful trades
- Hurst exponent: Hurst exponent is a measure of the persistence or mean reversion characteristics of a time series. It provides insights into the strength and sustainability of price movements. Hurst momentum analysis helps traders understand whether the market is exhibiting trending behaviour or mean-reverting behaviour. It can help identify potential reversals or continuation patterns in the price action.
- Probable Range: The Range refers to the expected price range within which an asset is likely to fluctuate, in our case the MFR Ranges (normal and longer-term). It helps traders set realistic profit targets and stop-loss levels. By combining the probable range with the trend and the Hurst Exponent, traders can better gauge the potential extent of price movements and make more informed decisions regarding entry and exit points.
How to use these tools together?
- Confirmation and Confluence: Combining Trend with Hurst & Range can provide confirmation and confluence signals. For instance, when the trend analysis indicates an uptrend, Hurst confirms strong positive momentum and Range confirms the upside potential, it provides a stronger signal for potential bullish trades
- Timing Entries and Exits: The combination of trend analysis, Hurst and Range can assist in timing entry and exit points. For example, when trend analysis indicates an uptrend, traders can look for bullish signals from Hurst value and low of the MFR Range to identify potential entry points during pullbacks or periods of consolidation. Conversely, in a downtrend, bearish signals from Hurst at the top of the MFR Range can guide traders in identifying potential short-selling opportunities during corrective rallies
- Risk Management: The integration of trend analysis with Hurst and Range can also aid in risk management. Traders can adjust their stop-loss levels and profit targets based on the strength of the trend, its strength and its Range. Tighter stop-loss levels can be set when both trend analysis, Hurst value and Range are aligned, indicating a higher probability of trend continuation. Conversely, wider stop-loss levels may be used when conflicting signals or weakening trends are observed
By combining Trend analysis, Hurst exponent and MFR probable Range, traders can gain a more comprehensive understanding of the market's behaviour and make more informed trading decisions.
It's important to note that while Trend is a useful tool, it should not be relied upon solely for making trading decisions. It's recommended to use it in conjunction with other technical analysis tools and consider other factors such as market conditions, risk management, and fundamental analysis. Remember that the momentum indicator is just one tool among many, and it's important to consider other factors such as volume, momentum, volatility, and overall market conditions when making trading decisions. Additionally, using stop-loss orders and proper risk management techniques is crucial to mitigate potential losses.
We hope that you will find these explanations useful, please contact us by private message for access.
Enjoy!
DISCLAIMER: No sharing, copying, reselling, modifying, or any other forms of use are authorised. This script is strictly for individual use and educational purposes only. This is not financial or investment advice. Investments are always made at your own risk and are based on your personal judgement. Myfractalrange is not responsible for any losses you may incur. Please invest wisely.
LONG SAZB $This strategy combines the use of:
-The MTF EMA to detect trends.
-The MACD to create Long and Short Buy signals.
-The ATR for setting Stop Losses and Take Profits.
This works well with many different crypto and fiat pairs, but it must be optimized for the certain behavior of the currency pair. Its optimal use is strong trends, not so profitable when sideways.
This strategy was developed with the 5-minute Bitcoin / TetherUS Perpetual futures for Binance (Crypto trading platform).
This is the first version, updates will come.
MTF EMA
The MTF EMA (Multi-TimeFrame Exponential Moving Average ) is a great indicator to see the overall trend of an asset, you can see the status of a moving average for all timeframes on one chart.
Normally when you check a moving average of the price it's on some specific timeframe. The MTF EMA allows you to see moving average status for all timeframes in a single place. You can simplify your visual representation and know if an asset or a pair is overall bullish or bearish , with this improving your entry and exit signal decisions.
This strategy uses the 1 hour and 15 min EMA with different values. Experimenting with these is important to understand the currency pairs.
Up trend:
Price (source) > 1h MTF and 1h MTF < 15m MTF
Down trend:
Price (source) < 1h MTF and 1h MTF > 15m MTF
MACD
Using MACD (Moving Average Convergence Divergence) as a reference, the strategy identifies when the MACD line crosses over (a factor in a buy signal) and under (a factor in a Sell signal) the Signal line. This shows a shift in positive (cross over) and negative (cross under) of a security.
This strategy uses values of 12 on the Fast MA, 26 on the Slow MA, and 9 in the Signal Line MA.
The optional ribbon is for a more visual representation of the MACD .
The MACD and Signal line have the option to have a crossover limit to cancel buy signals depending on the value they crossed at according to the 0 line of the MACD . This is to avoid fake signals.
ATR TP/SL
Using ATR to define the stop loss and take profit is that it should allow you to set them at a realistic distance from price. Simply put, a pair experiencing a high level of volatility has a higher ATR, and a low volatility stock has a lower ATR.
The indicator does not indicate the price direction; rather it is used primarily to measure volatility caused by gaps and limit up or down moves. All this is used to allow the Stop Loss “breathing space” so trades don't get unnecessarily stopped, and allow the Take Profit to be at a more realistic, flexible, and profitable price.
This strategy uses different values for Longs and Shorts depending on the market behavior, optionally analyzes swing lows and highs according to the value of the candle lookback and sets the ATR depending on them, they must be tested to optimum. Also the ATR has a multiplicator to find the most efficient price levels.
Trade Setup
Shorts and Longs can be turned OFF and ON.
There is an optional maximum % loss for trades, the trade is closed when the high-low average of a candle is over this %.
Longs
This strategy indicates a Long Buy signal when these conditions are met:
- Uptrend signal from MTF EMA .
- MACD Crossover of Signal ( MACD > Signal) while being under the MACD crossover limit.
A Long exit signal is indicated when:
- Price crosses over the ATR Take Profit limit.
- Price crosses under the ATR Stop Loss limit.
- Price crosses under optional max % long loss.
Shorts
This strategy indicates a Long Buy signal when these conditions are met:
- Downtrend signal from MTF EMA .
- Signal Crossover of MACD ( MACD < Signal) while being over the MACD crossover limit.
A Short exit signal is indicated when:
- Price crosses under the ATR Take Profit limit.
- Price crosses over the ATR Stop Loss limit.
- Price crosses over optional max % short loss.
Disclaimer
1. I am not a licensed financial advisor or broker dealer. I do not tell you when or what to buy or sell. I developed this software which enables you to execute manual or automated trades multiple trades using TradingView. The software allows you to set the criteria you want for entering and exiting trades.
2. Do not trade with money you cannot afford to lose.
3. I do not guarantee consistent profits or that anyone can make money with no effort. I am not selling the holy grail.
4. Every system can have winning and losing streaks.
5. Money management plays a large role in the results of your trading. For example: lot size, account size, broker leverage, and broker margin call rules all have an effect on results. Also, your Take Profit and Stop Loss settings for individual pair trades and for overall account equity have a major impact on results. If you are new to trading and do not understand these items, then I recommend you seek education materials to further your knowledge.
**YOU NEED TO FIND AND USE THE TRADING SYSTEM THAT WORKS BEST FOR YOU AND YOUR TRADING TOLERANCE.**
**I HAVE PROVIDED NOTHING MORE THAN A TOOL WITH OPTIONS FOR YOU TO TRADE WITH THIS PROGRAM ON TRADINGVIEW.**
I am 100 % open to suggestions to improve the script.
If you encounter any problems or would like to see the script, share them with me at "steven17zmuda@gmail.com".
Items in this description text may not be written directly by me, but may be taken from education sites.
Portfolio Backtester Engine█ OVERVIEW
Portfolio Backtester Engine (PBTE). This tool will allow you to backtest strategies across multiple securities at once. Allowing you to easier understand if your strategy is robust. If you are familiar with the PineCoders backtesting engine , then you will find this indicator pleasant to work with as it is an adaptation based on that work. Much of the functionality has been kept the same, or enhanced, with some minor adjustments I made on the account of creating a more subjectively intuitive tool.
█ HISTORY
The original purpose of the backtesting engine (`BTE`) was to bridge the gap between strategies and studies . Previously, strategies did not contain the ability to send alerts, but were necessary for backtesting. Studies on the other hand were necessary for sending alerts, but could not provide backtesting results . Often, traders would have to manage two separate Pine scripts to take advantage of each feature, this was less than ideal.
The `BTE` published by PineCoders offered a solution to this issue by generating backtesting results under the context of a study(). This allowed traders to backtest their strategy and simultaneously generate alerts for automated trading, thus eliminating the need for a separate strategy() script (though, even converting the engine to a strategy was made simple by the PineCoders!).
Fast forward a couple years and PineScript evolved beyond these issues and alerts were introduced into strategies. The BTE was not quite as necessary anymore, but is still extremely useful as it contains extra features and data not found under the strategy() context. Below is an excerpt of features contained by the BTE:
"""
More than `40` built-in strategies,
Customizable components,
Coupling with your own external indicator,
Simple conversion from Study to Strategy modes,
Post-Exit analysis to search for alternate trade outcomes,
Use of the Data Window to show detailed bar by bar trade information and global statistics, including some not provided by TV backtesting,
Plotting of reminders and generation of alerts on in-trade events.
"""
Before I go any further, I want to be clear that the BTE is STILL a good tool and it is STILL very useful. The Portfolio Backtesting Engine I am introducing is only a tangental advancement and not to be confused as a replacement, this tool would not have been possible without the `BTE`.
█ THE PROBLEM
Most strategies built in Pine are limited by one thing. Data. Backtesting should be a rigorous process and researchers should examine the performance of their strategy across all market regimes; that includes, bullish and bearish markets, ranging markets, low volatility and high volatility. Depending on your TV subscription The Pine Engine is limited to 5k-20k historical bars available for backtesting, which can often leave the strategy results wanting. As a general rule of thumb, strategies should be tested across a quantity of historical bars which will allow for at least 100 trades. In many cases, the lack of historical bars available for backtesting and frequency of the strategy signals produces less than 100 trades, rendering your strategy results inconclusive.
█ THE SOLUTION
In order to be confident that we have a robust strategy we must test it across all market regimes and we must have over 100 trades. To do this effectively, researchers can use the Portfolio Backtesting Engine (PBTE).
By testing a strategy across a carefully selected portfolio of securities, researchers can now gather 5k-20k historical bars per security! Currently, the PTBE allows up to 5 securities, which amounts to 25k-100k historical bars.
█ HOW TO USE
1 — Add the indicator to your chart.
• Confirm inputs. These will be the most important initial values which you can change later by clicking the gear icon ⚙ and opening up the settings of the indicator.
2 — Select a portfolio.
• You will want to spend some time carefully selecting a portfolio of securities.
• Each security should be uncorrelated.
• The entire portfolio should contain a mix of different market regimes.
You should understand that strategies generally take advantage of one particular type of market regime. (trending, ranging, low/high volatility)
For example, the default RSI strategy is typically advantageous during ranging markets, whereas a typical moving average crossover strategy is advantageous in trending markets.
If you were to use the standard RSI strategy during a trending market, you might be selling when you should be buying.
Similarily, if you use an SMA crossover during a ranging market, you will find that the MA's may produce many false signals.
Even if you build a strategy that is designed to be used only in a trending market, it is still best to select a portfolio of all market regimes
as you will be able to test how your strategy will perform when the market does something unexpected.
3 — Test a built-in strategy or add your own.
• Navigate to gear icon ⚙ (settings) of strategy.
• Choose your options.
• Select a Main Entry Strat and Alternate Entry Strat .
• If you want to add your own strategy, you will need to modify the source code and follow the built-in example.
• You will only need to generate (buy 1 / sell -1/ neutral 0) signals.
• Select a Filter , by default these are all off.
• Select an Entry Stop - This will be your stop loss placed at the trade entry.
• Select Pyamiding - This will allow you to stack positions. By default this is off.
• Select Hard Exits - You can also think of these as Take Profits.
• Let the strategy run and take note of the display tables results.
• Portfolio - Shows each security.
• The strategy runs on each asset in your portfolio.
• The initial capital is equally distributed across each security.
So if you have 5 securities and a starting capital of 100,000$ then each security will run the strategy starting with 20,000$
The total row will aggregate the results on a bar by bar basis showing the total results of your initial capital.
• Net Profit (NP) - Shows profitability.
• Number of Trades (#T) - Shows # of trades taken during backtesting period.
• Typically will want to see this number greater than 100 on the "Total" row.
• Average Trade Length (ATL) - Shows average # of days in a trade.
• Maximum Drawdown (MD ) - Max peak-to-valley equity drawdown during backtesting period.
• This number defines the minimum amount of capital required to trade the system.
• Typically, this shouldn’t be lower than 34% and we will want to allow for at least 50% beyond this number.
• Maximum Loss (ML) - Shows largest loss experienced on a per-trade basis.
• Normally, don’t want to exceed more than 1-2 % of equity.
• Maximum Drawdown Duration (MDD) - The longest duration of a drawdown in equity prior to a new equity peak.
• This number is important to help us psychologically understand how long we can expect to wait for a new peak in account equity.
• Maximum Consecutive Losses (MCL) - The max consecutive losses endured throughout the backtesting period.
• Another important metric for trader psychology, this will help you understand how many losses you should be prepared to handle.
• Profit to Maximum Drawdown (P:MD) - A ratio for the average profit to the maximum drawdown.
• The higher the ratio is, the better. Large profits and small losses contribute to a good PMD.
• This metric allows us to examine the profit with respect to risk.
• Profit Loss Ratio (P:L) - Average profit over the average loss.
• Typically this number should be higher in trend following systems.
• Mean reversion systems show lower values, but compensate with a better win %.
• Percent Winners (% W) - The percentage of winning trades.
• Trend systems will usually have lower win percentages, since statistically the market is only trending roughly 30% of the time.
• Mean reversion systems typically should have a high % W.
• Time Percentage (Time %) - The amount of time that the system has an open position.
• The more time you are in the market, the more you are exposed to market risk, not to mention you could be using that money for something else right?
• Return on Investment (ROI) - Your Net Profit over your initial investment, represented as a percentage.
• You want this number to be positive and high.
• Open Profit (OP) - If the strategy has any open positions, the floating value will be represented here.
• Trading Days (TD) - An important metric showing how many days the strategy was active.
• This is good to know and will be valuable in understanding how long you will need to run this strategy in order to achieve results.
█ FEATURES
These are additional features that extend the original `BTE` features.
- Portfolio backtesting.
- Color coded performance results.
- Circuit Breakers that will stop trading.
- Position reversals on exit. (Simulating the function of always in the market. Similar to strategy.entry functionality)
- Whipsaw Filter
- Moving Average Filter
- Minimum Change Filter
- % Gain Equity Exit
- Popular strategies, (MACD, MA cross, supertrend)
Below are features that were excluded from the original `BTE`
- 2 stage in-trade stops with kick-in rules (This was a subjective decision to remove. I found it to be complex and thwarted my use of the `BTE` for some time.)
- Simple conversion from Study to Strategy modes. (Not possible with multiple securities)
- Coupling with your own external indicator (Not really practical to use with multiple securities, but could be used if signals were generated based on some indicator which was not based on the current chart)
- Use of the Data Window to show detailed bar by bar trade information and global statistics.
- Post Exit Analysis.
- Plotting of reminders and generation of alerts on in-trade events.
- Alerts (These may be added in the future by request when I find the time.)
█ THANKS
The whole PineCoders team for all their shared knowledge and original publication of the BTE and Richard Weismann for his ideas on building robust strategies.
═════════════════════════════════════════════════════════════════════════
[ADOL_]Trend BreakENG)
Trend Break trend break+
It automatically draws a trend line and generates signals based on elaborate standards.
It is a secretary who plays an excellent role as an auxiliary tool in the sale and sale.
Trend lines are an important tool in determining the direction of trading.
These indicators are automatic trend line construction and trading signal generation indicators.
The background informs the trend section. The key function is the notation of signals.
principle)
It reflects the concept of HH and LL.
What is HH? Abbreviation of Higher High, which means to increase the high point.
What is LL? It stands for Lower Low, which means to lower the low point.
The trend line is created by the basic construction method that connects the highs and the highs, and the lows and the lows.
The basic signal is prepared by generating a signal from the 3 previous candles of the breakthrough of the trend line.
Basic signal; L for long, S for short
When the flow continues in one direction by reflecting the candle flow in ascending and descending order
Create a filtered signal.
Filtering signal; Filtering signals are marked with ★.
The background is the output through direction matching filtering of the double weighted moving average.
Green Background: Uptrend Progress
Red background: downtrend progress
Gray background: neutral zone (rebound, retracement, crossing)
Principle example)
This is an example of a signal with no filtering applied.
This is an example of a filtered signal.
option)
Line color, line shape, whether or not to include a tail when drawing a trend, line thickness
You can choose options such as.
Time frame)
Applicable to all time frames.
Scalping: 1 minute bar, 3 minute bar
Single hit: 3 minutes, 15 minutes, 1 hour
Swing: 1 hour salary, 4 hour salary, daily salary
Applicable market)
Applicable to all markets.
Examples of market application)
NASDAQ
Korean stocks (ex: Samsung Electronics)
alert)
You can use the alert function.
-Background alert for trend direction
-Alert to break through downtrend line and alert to break through uptrend line
-Filtering applied alert to break through the downtrend line
-Filtering applied alert to break through the uptrend line
Trading method)
1. The trend line refers to the concept of support/resistance touch. Through the concept of touch
You can set a standard once more to see if the signal output is adequate.
One touch of support/resistance line: On the first touch, see long at the support line and short at the resistance line.
Touch the support/resistance line 2: Check the position once more in the step of building (consolidating) the support/resistance line. Long at the support level and short at the resistance level.
3 touches of the ground/resistance line: This is the section with high possibility in both directions.
Support/resistance line 4 (or higher) touch: Use as a breakthrough reference line. When breaking through, hit short at the support line and long at the resistance line.
If the support/resistance line breaks through to the closing price, support becomes resistance and resistance becomes support."
Trading method)
1. The trend line refers to the concept of support/resistance touch. Through the concept of touch
You can set a standard once more to see if the signal output is adequate.
One touch of support/resistance line: On the first touch, see long at the support line and short at the resistance line.
Touch the support/resistance line 2: Check the position once more in the step of building (consolidating) the support/resistance line. Long at the support level and short at the resistance level.
3 touches of the ground/resistance line: This is the section with high possibility in both directions.
Support/resistance line 4 (or higher) touch: Use as a breakthrough reference line. When breaking through, hit short at the support line and long at the resistance line.
If the support/resistance line breaks through to the closing price, support becomes resistance and resistance becomes support."
2. Entry Criteria/Stop Loss Criteria
-Entry criteria; Follow the signal.
-Stop loss criteria;
Using Fixed Stop Loss: Set the 1% fixed stop loss interval from signal generation (% is set individually).
Use of Candle Stop: When the low or high point of the signal generating rod collapses, set the stop loss.
Use of flow stop loss: Set the stop loss by considering the flow of the wave.
3. Note
All trading decisions you make are your sole responsibility.
If the indicators were helpful, please support us. Help in developing the following metrics.
4. How to use
Tap Add Indicator to Favorites. Click on the indicator at the top of the chart screen and look at the left tab
Indicators have been added. Press to use. Anyone can use it.
KOR)
Trend Break 추세돌파+
추세선을 자동으로 작도해주며, 정교화된 기준으로 시그널을
발생시켜 매매에 보조도구로써 훌륭한 역할을 수행해내는 비서입니다.
추세선은 매매의 방향성을 결정하는데 중요한 도구입니다.
해당 지표는 자동 추세선 작도와 매매 시그널 발생 지표입니다.
배경은 추세구간을 알려줍니다. 핵심기능은 시그널의 표기입니다.
원리)
HH와 LL의 개념을 반영합니다.
HH란 ? Higher High의 약자로 고점을 높인다는 의미입니다.
LL란? Lower Low의 약자로 저점을 낮춘다는 의미입니다.
추세선은 고점과 고점, 저점과 저점을 잇는 기본 작도 방법으로 만들어집니다.
추세선 돌파의 3개 이전 캔들부터 신호발생으로 준비를 기본 시그널을 만듭니다.
기본 시그널 ; 롱의 경우 L 표기, 숏의 경우 S표기
오름차순과 내림차순의 캔들 흐름을 반영하여, 한 방향으로 흐름이 지속될때
필터링된 시그널을 만듭니다.
필터링 시그널 ; 필터링 시그널은 ★ 표기가 붙습니다.
배경은 이중 가중이동 평균의 방향일치 필터링을 통한 출력입니다.
초록색 배경 : 상승추세 진행
빨간색 배경 : 하락추세 진행
회색 배경 : 중립구역(반등, 되돌림, 교차)
원리 예시)
필터링이 적용되지 않은 시그널의 예시입니다.
필터링이 적용된 시그널의 예시입니다.
옵션)
선색상, 선모양, 추세선작도시 꼬리포함여부, 선굵기
등의 옵션을 선택할 수 있습니다.
타임프레임)
모든 시간프레임에 적용 가능합니다.
스캘핑 : 1분봉, 3분봉
단타 : 3분봉, 15분봉, 1시간봉
스윙 : 1시간봉, 4시간봉, 일봉
적용시장)
모든 시장에 적용 가능합니다.
시장 적용의 예시)
나스닥
한국주식(예 : 삼성전자)
알람)
얼러트 기능을 사용할 수 있습니다.
- 추세방향성에 대한 배경의 얼러트
- 하락추세선 돌파 얼러트, 상승추세선 돌파 얼러트
- 필터링을 적용한 하락추세선 돌파 얼러트
- 필터링을 적용한 상승추세선 돌파 얼러트
매매방법)
1. 추세선은 지지/저항의 터치 개념을 참고합니다. 터치의 개념을 통해
시그널 출력이 적절한지 한번 더 기준을 잡을 수 있습니다.
지지/저항선 1터치 : 첫번째 터치에는 지지선에서 롱을, 저항선에서 숏을 봅니다.
지지/저항선 2터치 : 지지/저항선 구축(다지기)의 단계로 한번 더 자리를 확인합니다. 지지선에서 롱을, 저항선에서 숏을 봅니다.
지/저항선의 3터치 : 양방향의 가능성이 높은 구간입니다.
지지/저항선4(이상)터치 : 돌파기준선으로 사용합니다. 돌파할 때, 지지선에서 숏을, 저항선에서 롱을 칩니다.
지지/저항선이 종가로 뚫리면 지지는 저항이 되고, 저항은 지지가 됩니다."
2. 진입기준/손절기준
- 진입기준; 시그널을 따릅니다.
- 손절기준;
고정손절가 이용 : 시그널 발생으로부터 1% 고정 손절가 구간을 설정합니다.(%는 개별로 설정)
캔들손절가 이용 : 시그널 발생봉의 저점이나 고점이 무너지면 손절을 설정합니다.
흐름손절가 이용 : 파동의 흐름을 고려하여 손절을 설정합니다.
3. 참고
귀하가 내리는 모든 거래 결정은 전적으로 귀하의 책임입니다.
지표가 도움이 되었다면 응원 부탁드립니다. 다음 지표 개발에 도움이 됩니다.
4. 사용방법
즐겨찾기에 인디케이터 넣기를 누릅니다. 차트화면 상단에 지표를 눌러서 왼쪽탭에 보면
지표가 추가되어 있습니다. 눌러서 사용합니다. 누구나 사용할 수 있습니다.
Bollinger Bands Strategy with Intraday Intensity IndexFor Educational Purposes. Results can differ on different markets and can fail at any time. Profit is not guaranteed.
This only works in a few markets and in certain situations. Changing the settings can give better or worse results for other markets.
This is a mean reversion strategy based on Bollinger Bands and the Intraday Intensity Index (a volume indicator). John Bollinger mentions that the Intraday Intensity Index can be used with Bollinger Bands and is one of the top indicators he recommends in his book. It seems he prefers it over the other volume indicators that he compares to for some reason. III looks a lot like Chaikin Money Flow but without the denominator in that calculation. On the default settings of the BBs, the III helps give off better entry signals. John Bollinger however is vague on how to use the BBs and it's hard to say if one should enter when it is below/above the bands or when the price crosses them. I find that with many indicators and strategies it's best to wait for a confirmation of some sort, in this case by waiting for some crossover of a band. Like most mean reversion strategies, the exit is very loose if using BBs alone. Usually the plan to exit is when the price finally reverts back to the mean or in this case the middle band. This can potentially lead to huge drawdowns and/or losses. Mean reversion strategies can have high win/loss ratios but can still end up unprofitable because of the huge losses that can occur. These drawdowns/losses that mean reversion strategies suffer from can potentially eat away at a large chunk of all that was previously made or perhaps up to all of it in the worst cases, can occur weeks or perhaps up to months after being profitable trading such a strategy, and will take a while and several trades to make it all back or keep a profitable track record. It is important to have a stop loss, trailing stop, or some sort of stop plan with these types of strategies. For this one, in addition to exiting the trade when price reverts to the middle band, I included a time-based stop plan that exits with a gain or with a loss to avoid potentially large losses, and to exit after only a few periods after taking the trade if in profit instead of waiting for the price to revert back to the mean.
JackBot Scalper v6Jackbot Scalper v6 Update
In Version 6, Jackbot has improved performance on higher time frames with close to 85% success rate on 1-hour times frames and 70% success rate on 15-minute time frames.
Who
I am Jack Donaghy, a crypto trader and wealth strategist at an international asset management firm. I have traded billions in assets for clients and have grown a portfolio of personal assets by nearly 2200% within the last 1.5 years from trading. I originally invested in cryptocurrencies in November of 2016 and have been catching waves ever since. This bot is for those interested in scalping methods.
What
Jackbot Pro Scalper is a scalping study for Bitcoin that operates on small timeframes. It has a 60-70% success rate and operates with the goal of maximizing gains while minimizing losses. This bot works well with leveraged strategies as it pursues both long and short positions. While I primarily use the bot on BitMex, I have seen good success on Bitfinex with various USDT pairs including VEN and ETH.
When
With v6, the best results have come from 13, 15, and 17-minute charts with incredible success found on the 1-hour charts.
How
The bot works by 1. Defining its entry point. 2. Defining a take profit 3. Defining a stop loss. The magic of the bot is that it will not close a trade at the take profit, if volume and price are increasing, it will hold the exit until another indicator determines a reversal of the trend. More than that would ruin the logic so you will just have to see for yourself.
To Trade
Large Spikes = Entries (Green = Long, Red = Short)
Small Spikes = Take Profit (Green = Long Exit, Red = Short Exit)
Medium Spikes = Stop Loss (Purple = Long SL, Yellow = Short SL)
Previous Results
Backtested, Jackbot v6 shows that with 1 Bitcoin (unleveraged) you can make about 12K in a 1.5 month period. My personal experience was trading a test amount of Bitcoin on a particularly good run at 25x leverage using 25% of a test portfolio It went from 0.015 Bitcoin to 0.091 within 10 days. See ibb.co (This test was from V5.4 which V6 has improved upon.)
Disclaimer: This strategy is by no means perfect and not every trade will be a winner. It is a tool in your belt, not a perfect 100% trader. Previously, results show with a 25x leveraged position, the losses are ~20% before it will cut off the trade, however, the gains can be 40%+ (As the bot continues to run in certain conditions, it will often pick up major moves and hold them for longer.) It can have bad runs and a slew of poor entries, especially in tight volatile ranges.
PLEASE NOTE: This strategy can struggle with chop following major moves, if you are manually entering, consider other market conditions before entry if the price is in a tight range.
Cost
Jackbot will be offered for 0.1 Bitcoin and will be limited to the first 100 people who apply.
JackBot Scalper V5.4 Who
I am Jack Donaghy, a crypto trader and wealth strategist at an international asset management firm. I have traded billions in assets for clients and have grown a portfolio of personal assets by nearly 2200% within the last 1.5 years from trading. I originally invested in cryptocurrencies in November of 2016 and been catching waves ever since. This bot is for those interested in scalping methods.
What
Jackbot Pro Scalper is scalping study for bitcoin that operates on small timeframes. It has a 60-70% success rate and operates with the goal of maximizing gains while minimizing losses. This bot works well with leveraged strategies as pursues both long and short positions. While I primarily use it on BitMex, I have seen good success on Bitfinex.
When
5-30 minute charts, longer time frames can work but have not been successful enough to warrant publishing. Best results have come from 13 and 17-minute timeframes.
How
The bot works by 1. Defining its entry point. 2. Defining a take profit 3. Defining a stop loss. The magic of the bot is that it will not close a trade at the take profit, if volume and price are increasing, it will hold the exit until another indicator determines a reversal of the trend. More than that would ruin the logic so you will just have to see for yourself.
To Trade
Large Spikes = Entries (Green = Long, Red = Short)
Small Spikes = Take Profit (Green = Long Exit, Red = Short Exit)
Medium Spikes = Stop Loss (Purple = Long SL, Yellow = Short SL)
Previous Results
Backtested, this bot shows that with 1 Bitcoin (unleveraged) you can make about 10K in a 1.5 month period. My personal experience was trading a test amount of bitcoin on a particularly good run at 25x leverage using 25% of a test portfolio It went from 0.015 bitcoin to 0.091 within 10 days. See ibb.co
Disclaimer: This strategy is by no means perfect and not every trade will be a winner. Previously results show with a 25x leveraged position, the losses are ~20% before it will cut off the trade, however, the gains can be 40%+ (As the bot continues to run in certain conditions, it will often pick up major moves and hold them for longer.) It can have bad runs and a slew of poor entries, especially in tight volatile ranges.
PLEASE NOTE: This strategy can struggle with chop following major moves, if you are manually entering, consider other market conditions before entry if the price is in a tight range.
Long Term Profitable Swing | AbbasA Story of a Profitable Swing Trading Strategy
Imagine you're sailing across the ocean, looking for the perfect wave to ride. Swing trading is quite similar—you're navigating the stock market, searching for the ideal moments to enter and exit trades. This strategy, created by Abbas, helps you find those waves and ride them effectively to profitable outcomes.
🌊 Finding the Perfect Wave (Entry)
Our journey begins with two simple signs that tell us a great trading opportunity is forming:
- Moving Averages: We use two lines that follow price trends—the faster one (EMA 16) reacts quickly to recent price moves, and the slower one (EMA 30) gives us a longer-term perspective. When the faster line crosses above the slower line, it's like a clear signal saying, "Hey! The wave is rising, and prices might move higher!"
- RSI Momentum: Next, we check a tool called the RSI, which measures momentum (how strongly prices are moving). If the RSI number is above 50, it means there's enough strength behind this rising wave to carry us forward.
When both signals appear together, that's our green light. It's time to jump on our surfboard and start riding this promising wave.
⚓ Safely Riding the Wave (Risk Management)
While we're riding this wave, we want to ensure we're safe from sudden surprises. To do this, we use something called the Average True Range (ATR), which measures how volatile (or bumpy) the price movements are:
- Stop-Loss: To avoid falling too hard, we set a safety line (stop-loss) 8 times the ATR below our entry price. This helps ensure we exit if the wave suddenly turns against us, protecting us from heavy losses.
- Take Profit: We also set a goal to exit the trade at 11 times the ATR above our entry. This way, we capture significant profits when the wave reaches a nice high point.
🌟 Multiple Rides, Bigger Adventures
This strategy allows us to take multiple positions simultaneously—like riding several waves at once, up to 5. Each trade we make uses only 10% of our trading capital, keeping risks manageable and giving us multiple opportunities to win big.
🗺️ Easy to Follow Settings
Here are the basic settings we use:
- Fast EMA**: 16
- Slow EMA**: 30
- RSI Length**: 9
- RSI Threshold**: 50
- ATR Length**: 21
- ATR Stop-Loss Multiplier**: 8
- ATR Take-Profit Multiplier**: 11
These settings are flexible—you can adjust them to better suit different markets or your personal trading style.
🎉 Riding the Waves of Success
This simple yet powerful swing trading approach helps you confidently enter trades, clearly know when to exit, and effectively manage your risk. It’s a reliable way to ride market waves, capture profits, and minimize losses.
Happy trading, and may you find many profitable waves to ride! 🌊✨
Please test, and take into account that it depends on taking multiple longs within the swing, and you only get to invest 25/30% of your equity.
