ETHUSD Multi Entries Autotrade BinanceCommission = 4 USD per order >>> check in the Performance Summary
Slippage = 2 ticks
- I see from Kodify (tradingview.com/pine-wizards)
Risk: 1% per trade >>> check at the "List of trades"
* Auto trade BINANCE FUTURE by Webhook + Pro, Pro+, Premium Tradingview user.
Binance future quantity setting:
- Fixed Quantity = 0 => Auto quantity (Balance, risk, pips loss)
- Fixed Quantity > 0 (0.001, 0.002, 0.01,...) => send signal with Fixed Quantity
H4 timeframe is main trend: Supertrend indicator.
- Uptrend when closes candle is below the red line
- Downtrend when closes candle is above the green line
H1 timeframe: Keltner Color count (Free): 2 Entries (I. Basis line, II. Upper 1/Lower 1 line)
Keltner Color Count input
- Length = 50
- Multi1 = 1
- Multi2 = 2
- Multi3 = 3
- Source = Close
- Lookback = 25
I. Basis entry rule:
1. Keltner channels:
Long when closes candle crossover the Upper 3 Keltner.
Short when closes candle crossunder the Upper 3 Keltner.
2. Rule of Basis's correction zone before open trades.
- Buy when previous OHLC4 candle crossover the Keltner Basis (Supertrend uptrend & Keltner long). Not repaint.
- Short when previous OHLC4 candle crossunder the Keltner Basis (Supertrend downtrend & Keltner short). Not repaint.
II. 'Upper 1/Lower 1' entry rule:
1. Keltner color count: lookback = 25
2. Keltner channels:
- Long when closes candle crossover the Upper 2 Keltner and Keltner Color count Uptrend.
- Short when closes candle crossunder the Upper 2 Keltner and Keltner Color count Downtrend.
3. RSI down when crossover 70, RSI down when crossunder 30
4. Rule of 'Upper 1/Lower 1' correction zone before open trades.
- Buy when previous OHLC4 candle crossunder the Keltner Upper 1 (Supertrend uptrend & Keltner long & RSI up). Not repaint.
- Short when previous OHLC4 candle crossover the Keltner Lower 1 (Supertrend downtrend & Keltner short & RSI down). Not repaint.
III. Stoploss move: Height of Keltner * 1.3
IV. Report all history ETHUSD (h1 timeframe):
1. Keltner Basis line entries:
- 14/01/2019 - 20/11/2021
- 18/01/2021 - 01/01/2021
- 02/01/2020 - 01/01/2020
- 05/02/2016 - 01/01/2019
- 23/10/2015 - 01/01/2018
- 23/10/2015 - 01/01/2017
2. Keltner 'Upper 2/Lower 1' entries:
- 20/01/2019 - 20/11/2021
- 10/01/2018 - 01/01/2021
- 12/01/2017 - 01/01/2020
- 04/02/2016 - 01/01/2019
- 19/08/2015 - 01/01/2018
- 19/08/2015 - 01/01/2017
3. Combine 2 entries (Basis & 'Upper 1/Lower 1':
01/01/2019 - 20/11/2021
01/01/2018 - 01/01/2021
01/01/2017 - 01/01/2020
01/01/2016 - 01/01/2019
01/01/2015 - 01/01/2018
01/01/2015 - 01/01/2017
Cari dalam skrip untuk "rsi"
Bot go_up DD_long/shortHello!
This strategy is based on the double bottom pattern - for entering a long position / double top-short
A double bottom pattern is formed when two price bottoms are relatively at the same level and the top acts as resistance. This pattern appears at the end of a downtrend and signals a reversal.
A double top is a bearish reversal pattern that signals the end of an uptrend. It is formed by two price highs forming at the same level and a notch line that acts as local support.
As history and practice show, the double bottom pattern works better. Moreover, in a bull market.
You can include only long or only short. BUT while there is a long, a short position will not be opened, in fact, with a long as well.
You can use reverse trade, one coin at a time.
DESCRIPTION:
// LOGIC ENTRY:
Period for short and long positions-to search for double bottom as well as double top. the more, the less false.
Change liong and short-channel width for pattern search separately for long and short.
General shift-the overall width of the channel, which changes equally at once for long and short
By default, quiet settings for tf 5 minutes are applied!
You can choose the settings you like.
// AMOUNT(USDT) FIRST ORDER AND > % NEXT
In the first column, indicate the amount, in the second, how many percent the next order will be more than the previous one.
// EXIT SETTINGS
Closing a trade by RSI when it reaches the level specified in the settings (but in the negative, the trade will never be closed, even if the condition is triggered)
Using a percentage to exit a trade + stop loss. (Put a stop order 1000+ on the market can be anything, especially if you use spot trading)
PS: in order to use the RSI output at a certain level, put a checkmark on the desired one, and also check the percentage box and indicate a take on the percentage 10-20 +)
// MARTINGALE GRID
If there is a check mark, then the grid is used.
Use all signals?
If yes, then there will be no limit on inputs from logic
If the checkbox is not checked, then you can limit the entries from the strategy logic by the specified percentage.
Grid, the next order, when decreasing by a certain percentage, an order when decreasing by the percentage that will be specified (after entering from the logic, when the next signal appears, the grid will be counted from the beginning)
PS: orders are not automatically placed, if the conditions are triggered, then the entry is only at the next bar (within the TV, it is not possible to add orders immediately, but most often, in case of straits, for the better)
// FILTER SETTINGS
The filter consists of a series of popular, averaged oscillators
//DATA RANGE
You can see the results for the selected period
//
CALCULATION OF ORDERS AND MARGIN (FOR INFO ONLY)
The number of orders is the number of entries (you must always have the same number of orders in the arguments and in the properties !!)
- in the aruments for understanding, in the properties - it does not matter how much it will cost there, so many inputs will be!)
-leverage is created to calculate the margin
When you change these parameters, you will understand how much money is required in general and what maximum drawdown can be allowed
Green line-take, lower-stop-order.
To use algo trading, in fact, you need to use a script, in the service through which you will transmit a signal through webhooks, you need to select the amount.
{{strategy.order.contracts}}
ОПИСАНИЕ НА РУССКОМ
//ЛОГИКА ВХОДА:
Период для шорт и лонг позиций, сдвиг для шорта лонга, также общий
По умолчанию применены спокойные настройки для тф. 5 минут.
Вы можете самостоятельно подбирать настройки, основываясь на прошлые результаты
//СУММА ВХОДА В ЮЗДТ +МАРТИНГЕЙЛ:
В первой графе указываете сумму , во второй -на сколько процентов следующий ордер будет больше предыдущего.
//НАСТРОЙКИ ВЫХОДА ИЗ СДЕЛКИ
Закрытие сделки по RSI, когда достигнет уровня, указанного в настройках ( но в минус сделка не будет закрыта никогда, даже если условие сработало)
Использование процента для выхода из сделки+ стоп приказ.( Ставьте стоп-приказ 1000+ на рынке может быть всякое, тем более, если используете спотовую торговлю)
ПС: для того, чтобы использовать выход по RSI по определенному уровню, поставьте галочку на нужный , а также поставьте галочку по проценту и укажите тейк по проценту 10-20+)
//НАСТРОЙКИ СЕТКИ
Если стоит галочка-то сетка используется.
Использовать все сигналы?
Если да, то лимита по входам от логики не будет
Если не стоит галочка, то можно ограничить входы от логики стратегии, на указанный процент.
Сетка, следующий ордер, при снижении на определенный процент-след ордер при снижении на тот процент, который будет указан ( после входа от логики , при появлении следующего сигнала сетка будет считаться с начала)
ПС: ордера автоматически не ставятся, если сработали условия, то вход, только на следующем баре ( в рамках ТВ, нет возможности добавить сразу ордера, но чаще всего, при проливах-к лучшему)
//НАСТРОЙКИ ФИЛЬТРА
Фильтр состоит из серии популярных, усредненных осцилляторов.
//
БЭКТЕСТИНГ
Можете посмотреть результаты за выбранный промежуток
//
ПИРАМИДИНГ (исключительно для расчета)
Количество ордеров-это количество входов ( у вас всегда должно быть одинаковое количество ордеров в агрументах и в свойствах!!)
-в аргументах для понимания, в свойствах -важно, сколько там будет стоить-столько входов и будет!)
-плечо создано для расчета маржи
При изменение данных параметров Вы будете понимать сколько потребуется средств в общем и какую максимальную просадку можно допустить
Зеленая линия-тейк, нижняя-стоп-приказ.
Для использования алго-трейдинга, собственно так и нужно использовать скрипт, в сервисе, через который Вы будете передавать сигнал через веб-хуки , Вам нужно выбрать количество.
{{strategy.order.contracts}}
Удачных трейдов, друзья!
Indicators & Conditions Test Framework [DTU]Hello All,
This script is a framework to build strategies by combining indicators and conditions (long, short, exits). You are able to analyze your strategies in realtime by changing the input parameters related to indicators, conditions and their combinations.
OVERVIEW
With this Study/Strategy framework, you will be able to create strategy conditions, display them on the chart, and test them using existing indicators as well as external and custom indicators that you can add.
The main purpose of the Framework is to choose your indicators to be used in the conditions and test your strategy by producing your "Long, short, Exit long, Exit short" combinations.
Although may be, it can be a bit difficult and complicated at first start, but you can understand the logic on its use in a very short time.
Notes:
I removed external links off descriptive images and video to be comply with Trading view violation House Rules
Since I am new in the community and still trying to understand the pine script language I can make errors and violations on my script. Please Inform me on any issue that I made..
HOW TO
STEP 1: SETTINGS ______________________________________________________________________________________________________
SOURCE, TIMEFRAME, SECURITY
Select the Source, timeframe and Secure type that your indicators will use.
Here, the Secure entry consists of 3 parts and the f_security function is used to determine it.
a)Secure
This option is defined as reducing repaint in tradingview calculations as much as possible. The following function is used.
request.security(_symbol, _res, _src , lookahead=barmerge.lookahead_on)
b)Semi Secure
While this option can reduce repaint in tradingview calculations as much as possible, it is less secure. The following function is used.
request.security(_symbol, _res, _src )
c)Repaint
This option turns on the repaint feature. The following function is used.
request.security(_symbol, _res, _src ) : na
Ind Source:
You can the source that indicators will use their own calculations
Ext Source:
You can import external Indicator sources from here . It appears on condition/combination area as "EXT".
To export the External indicator plot it with a title. It will be visible in source dropdown input
PERIOD , ALERTS...
Period:
Determine your strategy testing period by selecting start and end date/time
(!!! According to your tradingview subscription, it takes the last 5000, 10000.. bars.
The extra bar option may cause problems such as not appearing in the calculations or errors).
Plot Alerts:
Plot condition result as alerts arrows on the chart's bottom for "LONG" and the top for "SHORT" entries, exits
Close on opposite:
When selected, a long entry gets closed when a short entry opens and vice versa
Show Profit:
It appears if script is in strategy mode (not in study) this can display current or open profit for better reanalyzing your strategy entry exit points. (Currently under development)
PLOT TYPE OPERATIONS
This option has 4 entries
a) Mult
Sets the multiplier for the selected Plot Type (stochastic, Percentrank, Org Range (-1,1) ) except for "Original" in the range (-1,1).
EXAMPLE: When 1000 is selected, the indicator in the range of (-1,1) will appear in the range of (-1000, 1000) on the screen.
b) Shift
It determines the shift that will appear on the screen for the selected Plot Type (stochastic, Percentrank,Org Range (-1,1) ) in the range (-1,1) other than "Original".
EXAMPLE: When Shift:35000 and mult:1000 are selected, the indicator will appear in the range (34000, 36000) on the screen.
c) Smooth
This option (only for Stochastic & PercentRank) allows to smooth the indicator to be displayed.
Here, tradinview ta.swma function is used.
b) hline
Adjusts the horizontal lines to appear on the screen according to the mult factor for the range (-1,1)
The lines represent the values (-1, -05, 0, 05, 1)
STEP 2: INDICATORS ______________________________________________________________________________________________________
You need to choose indicators that you can use in strategy conditions.
Here, the indicators come from the dturkuler/lib_Indicators_DT open script library defined in the code
In addition, you can add the indicators that you will create in the area defined in the code to this list..
You can also import external indicators and test them with other variables on the system..
You can choose a maximum of 5 indicators that you can use in total. (can be increased in new versions)
Indicators are categorized in 3 main sections
Indicator Selection:
You can select your indicators from this area
a)Moving Averages
These are indicators such as EMA, SMA that you can show on the stock. They come from the library.
These indicators are fed from Settings/source. Only the length value can be used as a parameter.
In addition, line colors can be changed..
As of now, there are 28 indicators in the library in total and 5 indicators are left as future use for this field for now.
b)Other Indicators
These are different indicators from the stock value such as RSI, COG. They come from the library. These indicators are fed from Settings/source.
Only the length value can be used as a parameter. In addition, line colors can be changed.
As of now, there are 24 indicators in the library in total and 5 indicators are left as a future use for this field for now.
c)Custom Indicators
These indicators are the ones you can create by programming yourself in the source code..
The area at the bottom of the settings screen is reserved for the parameters of this type of indicators.
Indicator Length:
You can update your selected indicator length value from here. (Not: it doesn't work for custom indicators since they have their parameter on cust. Ind. input screen )
Indicator Plot Type:
Next to the indicators, there is an input selection field about how they will be displayed on the screen.
a)Original
The indicator is displayed on the screen with its current values. It is an ideal solution for displaying moving average indicators such as (EMA, SMA) over current stock.
Since the values of indicators such as (RSI, COB) are low (-100,100 : -1.1), they appear at the bottom of the screen and make analysis difficult.
For this reason, other options may be more suitable for these.
b)Stochastic
The indicator is displayed on the screen with stochastic calculation in the range of -1.1.
It uses the stochastic(50) calculation method to spread indicators such as (RSI, COB) over the range (-1,1).
Indicators in this selection can be fixed and monitored under stock on the screen with the parameters under the Plot Type section.
You can see the original values of the relevant indicator on the Data Window screen.
(!!! Do not use the values on the chart in your condition calculations. Instead, get the values from Data Window)
c)PercentRank
The indicator is displayed on the screen with stochastic calculation in the range of -1.1. .
Since the values of indicators such as (RSI, COB) are low (-100,100 : -1.1), they appear at the bottom of the screen and make analysis difficult.
Indicators in this selection can be fixed and monitored under stock on the screen with the parameters under the Plot Type section.
You can see the original values of the relevant indicator on the Data Window screen
((!!! Do not use the values on the chart in your condition calculations. Instead, get the values from Data Window)
d)Org Range (-1,1)
If your indicator is in the range of -1.1, your indicator will be displayed on the screen with its original calculation in the range of -1.1.
Indicators in this selection can be fixed and monitored under stock on the screen with the parameters under the Plot Type section.
You can see the original values of the relevant indicator on the Data Window screen.
(!!! Do not use the values on the chart in your fitness calculations. Instead, get the values from Data Window)
STEP 2 NOTES:
STEP 3: CONDITIONS ______________________________________________________________________________________________________
After choosing the indicators you will use in the conditions, you move on to the "CONDITIONS" section.
There are 4 conditions type here.
• LONG ENTRY CONDITION
• SHORT ENTRY CONDITION
• LONG CLOSE CONDITION
• SHORT CLOSE CONDITION
The use of each condition is the same.
There are 3 combinations you can use in each condition. (can be increased in new versions)
a)COMBINATIONS
There are 3 combinations you can use in each condition. (can be increased in new versions)
Each combination are build from 4 parts
1)1st Indicator
If set to "NONE" this combination will not be used on calculations. You can select
IND1-5: from indicators (See above),
EXT: value from externally imported indicator
Stock built-in values: close, open...
2)Operator
Selected Operator compares 1st Indicator with the 2nd one. You can select different operators such as
crossover, crossunder, cross,>,<,=....
3)2nd Indicator
This indicator will be compared with the 1st one via selected Operator. You can select
IND1-5: from indicators (See above),
VALUE: a float value defined in the combinations value parameter
EXT: value from externally imported indicator
Stock builtin values: close,open...
4)Value
When the 2nd indicator field is "VALUE", value area compares the entered value.
ex: 1st indicator="open", op=">", 2nd indicator="VALUE", value=3000.12 means is(close>3000.12)
In other conditions, it compares the previous values of the indicator.
ex: 1st indicator="open", op=">" 2nd indicator is "close" and value is 2 means is(open>close )
EXAMPLES:
indicator 1= "IND1", Operator=">", indicator 2= "IND2" => is(IND1>IND2)
indicator 1= "IND1", Operator=">", indicator 2= "VALUE", "0.1" => is(IND1>0.9)
indicator 1= "IND2", Operator="crossover", indicator 2= "IND1" => is(IND2 crossover IND1) : like a=ta.crossover(IND2, IND1)
indicator 1= "IND1", Operator="<", indicator 2= "close" => is(IND1>close)
indicator 1= "IND1", Operator="<", indicator 2= "EXT" => is(IND1>EXT) , EXT mean external imported indicator that define on settings section
indicator 1= "IND1", Operator="<", indicator 2= "IND1", Value="1" => is (IND1>IND1 )
b)JOIN COMBINATIONS
Each combination in Condition is compared with the next one via JOIN operator
The join operator can be selected as AND or OR.
Examples:
1st combination= is(IND1>0.9) true
2nd combination= is(IND2 crossover IND1) false
1st combination "AND" 2ndcombination" => false (is(IND1>0.9) AND is(IND2 crossover IND1))
1st combination "OR" 2nd combination" => true (is(IND1>0.9) OR is(IND2 crossover IND1))
STEP 3 NOTES:
When the 2nd indicator field is "VALUE", value area compares the entered value. In other conditions, it compares the previous values of the indicator.
In cases where "VALUE" is not selected, integer values must be entered in this field. (float should not be entered. ie 1, 2 should be entered)
!!!If the 1st indicator is "NONE" in the combination, that combination is cancelled.
Each combination returns true/false, allowing the selected value to be compared with another value
Example: EMA(21)>EMA(50) returns true under all conditions or (EMA(21) crossover EMA(50)) returns true when passed.
You can use , Value of 5 indicators (IND1-IND5) or (VALUE) that you have defined in combinations or import indicator (EXT) or stock values (close, open, high...) in your calculations.
combination Compares the 1st indicator with 2nd indicator via the operator.
STEP 4: CUSTOM INDICATORS ______________________________________________________________________________________________________
There is an area in the code for designing Custom Indicators.
Here you can design your own indicators and use them in the framework.
You can also create unlimited parameters for your indicators in the SETTINGS custom indicator field.
For now, only 3 Custom indicators have been defined.
Examples are entered in the code for custom indicators.
STEP 4 NOTES:
Including / updating custom to the code is explained in the source code
• LIMITATIONS:
!!! According to your tradingview subscription, it takes the last 5000, 10000.. bars. More bar options may cause problems such as not appearing in the calculations or errors.
• RAMBLINGS:
• NOTES [ /i]
This Script can be used as an indicator if the last strategy parts in the code are commented out and converted to the initial strategy study.
It was originally prepared for my use with my own strategy framework and has export functions accordingly.
When integrated to my own strategy framework it brings many more features over strategy definition of trades.
• TODO [ /i]
TODO: Add tooltips to the settings screen
TODO: Add double triple, Quatr factor for all indicators (convert any indicator to factor2-4 facotr. ex: EMA to DEMA, TEMA, QEMA...)
TODO: Add factorized Fibo avg range indicator (good for trend definition and entry exit points)
TODO: Add bands to the indicator and conditions
TODO: Add debug window for exporting indicator's parameters
TODO: Add isRising(value) isFalling(value), is...(value) .... to combinations (they can be used as custom indicator also
TODO: Reassess condition entry screen for user friendly GUI
TODO: Increase # conditions from 3 to 4
TODO: Reassess strategy entries, exit and close (should be improved)
TODO: Add Alerts, Condiional alerts for indicator (study) part
TODO: Create export function v3 for Pinecoders Indicator framework
• THANKS:
For Pine script format docs RicardoSantos .
For Pine script coding standards Pinecoders .
For moving average script used on library s RodrigoKazuma .
FTRS BOLT PRO
The script uses RSI as major trend identification and supported by RSI divergence for take profit, and also counter trend in certain cases.
Uses EMA 200 for major trend identification to filter false signals, Average Volume as confirmation and faster signal detection to the change of trend.
The indicator detects immediate change of trend and immediately opens position for the major trend.
User can enjoy the RSI with labels of divergence to do manual judgement.
Existing risk to reward ratio based on amount of money instead of ticks count. The currency is depending on the chart's trading currency.
This strategy mainly built for FCPO and its for 1 min settings only. User can toggle the sessions as per users preferences
The default risk to reward ratio is 1:1.5. However, there is a risk management using RSI levels to
HYE Mean Reversion VWAP [Strategy]An RSI filtered version of PJ Sutherland's Jaws Mean Reversion algorithm using volume weighted average price (VWAP) instead of simple moving average (SMA).
"Long" on the close when;
1-) 2 period VWAP closes 3% or more below the 5 period VWAP ,
2-) 5 period exponential average of the 2 period RSI is below 30.
"Exit Long" on the close when;
1-) 2 period VWAP closes above the 5 period VWAP.
"Short" on the close when;
1-) 2 period VWAP closes 3% or more above the 5 period VWAP ,
2-) 5 period exponential average of the 2 period RSI is above 70.
"Exit Short" on the close when;
1-) 2 period VWAP closes below the 5 period VWAP.
*** You can change the needed percentage for long and short trades, periods of VWAPs and RSI levels.
*** You can select the trend direction: "Long Only" , "Short Only" or "Both". Default is "Long Only".
I used the "VWAP with period" indicator code of @neolao. Special thanks to @neolao.
Indicator Link:
HYE Mean Reversion SMA [Strategy]An RSI filtered version of PJ Sutherland's Jaws Mean Reversion algorithm.
"Long" on the close when;
1-) 2 period simple moving average closes 3% or more below the 5 period simple moving average,
2-) 5 period exponential average of the 2 period RSI is below 30.
"Exit Long" on the close when;
1-) 2 period simple moving average closes above the 5 period moving average.
"Short" on the close when;
1-) 2 period simple moving average closes 3% or more above the 5 period simple moving average,
2-) 5 period exponential average of the 2 period RSI is above 70.
"Exit Short" on the close when;
1-) 2 period simple moving average closes below the 5 period moving average.
*** You can change the needed percentage for long and short trades, periods of simple moving averages and RSI levels.
*** You can select the trend direction: "Long Only" , "Short Only" or "Both". Default is "Long Only".
Scalper Helper System===========================================================================
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Description
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Scalper Helper System combines a series of trade strategies which have been learned and honed in the Jim of All Trades channel.
Paixy has contributed candlestick combination rules, Jonas has shared his deep understanding of Stochastic.
Jim himself has taught clearly on the merits of RSI.
This system attempts to formulate all the notes and rules I have made over the past months.
The system searches for 10 - 15 rules which are divided into bullets and bombs. Bombs relate to momentum, so these signals may not be pinpoint accurate, but they are more often leading to bigger moves.
This initial version is released mainly only to the JOAT community to help continue the development of the idea and to help find
continued improvements.
Special thanks to FiendishFeather for his strategy work, (check out his work to learn how to apply any trading strategy to his back testing harness), and the date filtering snippet and the tip to show this option at the top.
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The strategy decisions are based on the following general rules:
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BULLETs are hint to the idea of firing a small sized position into the market, BOMBs are hints to go all in - however this does not mean proper risk management should be forgotten.
Without risk management this and any strategy will lead to failure.
Without risk management this and any strategy will lead to failure.
Without risk management this and any strategy will lead to failure.
Without risk management this and any strategy will lead to failure.
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Bullet1 uses the value of the stochastic and checks for buy/sell cross over on 5m, 8m and 13m chart.
These values should be calculated on a ratio basis ideally.
Bullet2 measures divergence between the printed Stochastic signals.
Bullet3 has been decommissioned.
Bullet4 is an RSI divergence and value indicator.
Bullet5 has been decommissioned.
Bullet6 uses the history of the stochastic buy and sell signals
Bullet7 uses the Scalper Helper Trends for entries by attempting to see how the overall trend is changing. More refinement is needed here.
Bullet8 uses the Scalper Helper Trends on multiple timeframes for entries.
Bullet9 strict buy/sell signals from Stochastic RSI
Bomb1 relies on the Fast, Medium and Slow MA's being correctly lined up as well as the Stochastic, this hints at a more imminent move and so the strategy suggests a quicker entry.
Bomb2 relies on the Fast, Medium and Slow MA's NOT being correctly lined up as well as the Stochastic, and therefore has the luxury of suggesting Limit orders near the local high/low.
Bomb3 looks for two or more Stochastics signals in the same direction and then performs a divergence calculation.
Bomb4 looks a change in the Stochastics signals direction and then performs a divergence calculation.
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Configuration settings:
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Users can chose to show mainly buy and/or sell signals and can select a level of strictness. Enabling strict rules will force a multi timeframe comparison of Stochastic analysis.
Users can try different levels for long and short targets for profit and stop loss. This is important because the market does not behave the same going up as it does going down.
The RSI conditional check makes the strategy more selective. This discernment can be applied to bullets or bombs in order to validate entry and exits.
During the bull run and perhaps even in ranging markets, the RSI overbought levels is usually 70-80, but in the bear market we are seeing in Crypto now, a value of 60 is more useful. Try for yourself to see what works for you and feedback in the comments.
An additional indicator, Scalper Helper Trends is recommended to get a quick view on the trend condition (rally, base, down) by viewing the MACD from multiple time frames. Further research is required to know which larger timeframes work best here.
For the 15min chart, 15m, 30m, 45m, 60m, 120m, 240m, 360m, 960m would work well. Note it is not possible to go higher than 1000 at this time.
Whether you use the Scalper Helper trends or not for your own visual confirmation, it is possible to allow this indicator to attempt to read it for you. More research is required to best model the reading of this. For now, it will simply measure the gradient of the number of up versus down colors.
The system can also find entries off the Scalper Helper Trends - but really this, by design is not the best use of Scalper Helper Trends. Although you may prove me wrong so the option is given for you to find buy/sells with your own testing.
Users can chose to use some engulfing candle arrangements to trigger exits and define the length of the 200MA and decide if this should play a part in the filtering of the signals. Similarly, a check can be made to ensure that the first two candles after a signal are behaving as we would expect with the "Wait for 2 closing in the direction of the signal" option. This has a lot of value on the 1min chart.
When Revenge trade is set to true you may re-enter a trade in the same direction as the last one when the last one was stopped out, otherwise you would only be looking for trades in the other direction. We all should not revenge trade, and indeed I have only seen a few cases when it has increased the profitability, however this option remains for now.
The flip opens a new trade in the reverse direction when a signal is given to close a trade, but does not apply to scenarios where stop losses or take profit closed the trade.
Stock Buy/Sell BotHello everyone, I've been making this strategy for a few weeks now. I finally feel like it's time to release it to the public so I can share what I have been working on.
This strategy only enters a long trades when the MACD crosses over the signal line and the RSI is oversold . The logic behind this is to wait for RSI to enter the oversold territory, and then when the market starts to recovery the MACD will crossover telling us the sell off is over and when are bot to buy.
ADDONS That Affect Strategy:
* Modify RSI oversold and RSI overbought levels.
* Modify MACD Fast and Slow moving average.
Thank you for taking the time to use and try my strategy. I hope you have the best success. I will be making a short strategy, and alerts for this strategy soon so you can automate it. Follow me for updates!
Cyatophilum Strategy BuilderAn indicator to create strategies, backtest and setup alerts.
The user can choose one or multiple TA entry conditions, if more than one the conditions are combined with a logical AND.
The entries will open up a trade, which is then handled by a risk management system including Trailing Stop, Take Profit and up to 100 Safety Orders.
This indicator can be used to backtest 3commas DCA bots who are using TA presets, RSI or ULT.
Its main goal is to create strategies by combining indicators.
Let's dive into the details of what's included:
Entry Condition: MACD
Triggers an entry when macd crosses with the signal line.
Configure the fast, slow length, signal smoothing and timeframe to trigger the condition.
Entry Condition: RSI
Triggers an entry when the RSI is higher or lower than the long/short threshold.
Configure the length, timeframe, long and short threshold to trigger the condition.
Entry Condition: ULT (Ultimate Oscillator)
Triggers an entry when the ULT is higher or lower than the long/short threshold.
Configure the 3 lengths, timeframe, long and short threshold to trigger the condition.
Entry Condition: Bollinger Bands
Triggers an entry when the price is above the upper band for long and below the lower band for short.
Configure the length, standard deviation and timeframe to trigger the condition.
Entry Condition: MFI (Money Flow Index)
Similar to RSI, it triggers an entry when the MFI is higher or lower than the long/short threshold.
Configure the length, timeframe, long and short threshold to trigger the condition.
Entry Condition: CCI (Commodity Channel Index)
Another oscillator that triggers an entry when its value is higher or lower than the long/short threshold.
Configure the length, timeframe, long and short threshold to trigger the condition.
Trend Filters
Use one or two trendlines to filter your trades: go only long/short when the trendline is bullish/bearish.
Choose between the several trendlines: ema, sma, wma, hull ma, kama, alma, rma, swma, vwma, Tilson T3, and the unique Adaptive T3 and Adaptive Hull MA.
If this is not enough, you can use the external trendline feature to plug in any other indicator for your trendline.
The second trendline can be MTF and come from another symbol if needed.
Combining Indicators
Most of the time we will not be using a single indicator at a time, but instead, combine them in order to get stronger entries.
The entry conditions are combined using a AND logical gate, meaning all conditions must be true for the entry to trigger.
Here is an example using a combination of 2 indicators: Bollinger Bands and RSI.
We can see less entries are being triggered on the bottom chart than on the top chart because the bottom chart is combining the 2 indicators while the top chart is only using Bollinger Bands.
You can combine up to all 6 indicators if you want, but keep in mind that combining too many may lead to triggering no entry at all.
Risk Management and Trade system
The indicator will not trigger more than one long or short entry in a row.
To start a new trade, the indicator will wait for either take profit, stop loss or an opposite entry if no SL and TP is set.
Stop Loss and Take Profit
Configure your stop loss and take profit for long and short trades.
You can also make a trailing stoploss and a trailing take profit.
Safety Orders
Just like 3commas bots, you can create a strategy with up to 100 safety orders.
Configure their placement and order size using the price deviation, step scale, take profit type (from base order or total volume), and volume scale settings.
Note: only the 20 first safety order steps or so will be plotted due to graphic limiations. The steps after that still trigger alerts and backtest results.
Creating Alerts
The indicator is using the newest alert system:
1. Write your alert messages in the indicator settings (alert section at the bottom)
2. Click "Create Alert" as usual, but choose "alert() function calls only"
Data Window
Since the indicator is applied on top of the price chart, the oscillator indicators cannot be plotted. You can always add them on another pane but if you want to just see their values, you can use the Data Window to see the value of each oscillator on each bar.
Backtest settings
Used to get the results below:
Initial Capital: 100 000$
Base Order Size: 0.1 contract (BTC)
Safety Order Size: 0.1 contract (BTC)
Commission: 0.1%
Slippage: 100 ticks
pyramiding: 6
The indicator settings are plotted in the main chart panel.
TRSI STRATEGYThis strategy is based on our very first indicator TRSI .
Which is at the same time made of TRIX, RSI and EMA indicators.
Use TRSI to see how the strategy and indicator behaves on your chart.
Make sure to use the same values on strategy and indicator options.
Entry conditions
Buy and sell signals are generated when TRSI's lines cross above and below 60 and 40 line levels.
Buy - TRSI line crosses over its EMA line above 60 horzontal line
Sell - TRSI line crosses under its EMA line below 40 horzontal line
Close position when lines cross in backwards direction
Recommendet timeframe - 60 min.
Default values (for BTC):
TRIX - 14
RSI - 6
EMA -6
Top line - 60
Bottom line - 40
Supplementary indicators
In options menu of the strategy you may switch on two EMA and bollinger bands indicators to
make extra decision while analysign your chart. Useful if you have limitation on indicator quantity on the chart.
Repaint
The strategy doesn't use lookehead and time security functions.
The entries are generated on confirmation of bar close.
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Данная стратегия основана на одном из наших первых индикаторов TRSI ,
который в свою очередь был сделан из трех других индикаторов TRIX, RSI, EMA.
Используйте TRSI на графике чтобы визуально понять как индикатор и стратегия ведут себя.
Используйте одинаковые параметры в индикаторе и в стратегии.
Вход в позицию
Сигналы на покупку и продажу генерируются при пересечении линий TRSI над и под уровнями 60 и 40.
Покупка - линия TRSI пересекает сверху вниз свою EMA над уровнем 60.
Продажа - линия TRSI пересекает снизу верх свою EMA под уровнем 40.
Закрытие позиции при обратном пересечении линий.
Рекомендуемый таймфрейм - 60 минут.
Настройки по умолчанию (для BTC):
TRIX - 14
RSI - 6
EMA -6
Top line - 60
Bottom line - 40
Дополнительные индикаторы
В настройках стратегии можно включить две EMA и полосы боллинджера для дополнительного анализа
при принятии решения входа в позицию. Полезно если у вас ограничение на количество одновременных индикаторов на графике.
Репэйнт
В стратегии не использованы lookahead и временные security функции, которые могут привести к репэйнту.
Входы в позицию генерируются по подтверждению закрытия бара.
Bull Call Spread Entry StrategyThis strategy script uses the "Spread Entry Strength" overlay indicator script I designed to show entry timing optimized for an Option Bull
Call Spread.
As for this strategy...
The defaults for the strategy itself are as follows:
Period for strategy: 1/1/18 to 12/1/2021. This can be changed to a different period using the settings.
Condition for entry:
Bull Spread Entry Strength >= "Overlay Signal Strength Level"
Limit entry is used, price must be <= close when signaled
Entry occurs by next day or the order is cancelled
Condition for exit (uses a timed exit):
Bars passed since order entry >= 30 (6 weeks..~42 calendar days)
Thursday (day before "option" expiration date... assuming weekly options exist)
All of the user settings from the overlay are pulled into this for customization purposes. Details of the actual Spread Entry Strength overlay are as follows (copied from my shared indicator):
2 background shadings will occur:
The background will shade blue if the ticker is prime for a Bullish Call spread.
The background will shade purple if the the ticker is prime for a Bearish Put spread.
In theory, if the SE Strength is at one of the extremes of the Bear or Bull side, then a spread is prime for entry.
To calculate this, 8 conditions receive a 1 or zero dependent on whether the condition is true (1) or false (0), and then all of those are summed. The primary gist of the strength comes from Nishant's book, or my interpretation thereof, with some additives that limits what I need to review (such as condition 8 below.)
The 8 Bull Conditions are:
1) Bollinger Bands are outside of the Keltner Channels
2) ADX is trending up
3) RSI is trending up
4) -DI is trending down
5) RSI is under 30
6) Price is below the lower Keltner Channel
7) Price is between the lower Bollinger Band and the Bollinger basis.
8) Price at one point within the last 5 bars was below the lower Bollinger Band
The 8 Bear Conditions are the inverse conditions (except the first):
1) Bollinger Bands are outside of the Keltner Channels
2) ADX is trending down
3) RSI is trending down
4) +DI is trending up
5) RSI is over 70
6) Price is above the upper Keltner Channel
7) Price is between the upper Bollinger Band and the Bollinger basis.
8) Price at one point within the last 5 bars was above the upper Bollinger Band
There is a "market noise" filter that will filter out shading when another market move is considered, i.e. if you don't want to see the potential trade when QQQ moves more than 1% then do the following in the settings:
Check "Market Filter"
Enter QQQ in the "Market Ticker To Use"
Enter 1 in the "Market Too Hot Level"
Press Ok
Obviously, the same holds true for the "Market Too Cool Filter."
Second release notes:
Overlay Signal Strength Level - You can set your own "level" for the overlay in the settings, instead of having to change the script code itself. I have the default set to 6. A lower number shows more overlays, a higher number shows fewer (i.e. more conditions have been met.).
Provide Narrative (Troubleshooting) - Narrative label created with several outputs that will show after the last bar. This narrative needs to be turned on in the settings, as the default is "off" ... unchecked.
Remove Strength Indicator When Squeezed - when checked no overlays will be produced regardless of "scoring." Default is off.
Show Squeezes (Will Override Indicator When Concurrent) - overlays an orange background when the ticker is in a squeeze. I am still working on the accuracy here, but it's usable. This will override the strength indicator as well. This needs to be turned on, if you want it.
Short SMA Period - period used to calculate the short SMA, used in the narrative only, at this point in time.
Medium SMA Period - period used to calculate the medium SMA, used in the narrative only, at this point in time.
Long SMA Period - period used to calculate the medium SMA, used in the narrative only, at this point in time.
Outside of the settings... a few calculation adjustments here and there have occurred and some color shading adjustments to allow for the adjustable level setting.
HFT Divergence Hunter BacktesterDefault Settings are meant to be used in BTC /USDT chart on 5 min time frame on Binance Futures . If you want to use for another asset on another time frame YOU MUST CHANGE THE SETTINGS
This is a divergence finding strategy developed by HFT Research. It is a highly customizable strategy and provides endless opportunities to find profitable trades in the market.
Default Settings are meant to be used in BTC /USDT chart on 5 min time frame on Binance Futures . If you want to use for another asset on another time frame YOU MUST CHANGE THE SETTINGS
This is a divergence finding indicator developed by HFT Research. It is a highly customizable indicator and provides endless opportunities to find profitable trades in the market.
Use Envelope , this is the main decision maker in this strategy. The idea behind is that you choose the length of the moving average and set an offset % to create an upper and lower band. If you click on “display envelope” you will be able to visually see the band you have created. This way, you get to scalp the market as the price is diverging and moving away from the moving average. As the famous saying goes, moving averages act like magnets and prices always visits them back. Using this ideology, we aim to capitilize on the price swings that move away from the chosen moving average by x%.
STARC Bands ;
These are two bands that are applied above and below a simple moving average of an asset’s price. The upper band is created by adding the value of the average true range (ATR) or a multiple of i. The lower band is created by subtracting the value of the ATR from the SMA . The channel can provide traders with ideas on when to buy or sell. During an overall uptrend, buying near the lower band and selling near the top band is favorable. However, from our testing results it does fairly poorly in crypto markets while it does pretty well in traditional markets.
Use RSI ;
One of the most commonly used indicators in the trading world. The idea is simple, buy when its oversold and sell when its overbought. You can use RSI as a secondary confirmation of the dips. It can be turned on and off.
Use MFI
MFI stands for Money Flow Index and it is an oscillator like RSI . However, it does track the price in a different fashion than RSI providing a reliable option. It uses the price and volume data for identifying overbought and oversold signals in an asset.
Use Fisher Transform
Even though, it has a funny name, Fisher is actually a very decent and reliable indicator. It converts the prices into a Gaussian normal distribution channel. Therefore, the indicator detects when the prices have moved to an extreme, based on recent price action.
Use VWAP
VWAP stands for volume weighted average price . It is an extremely useful indicator when trading intra-day. It does reset every trading session which is at 00:00 UTC . Instead of looking at x number of candles and providing an average price, it will take into consideration the volume that’s traded at a certain price and weigh it accordingly. It will NOT give entry signals but act as a filter. If the price is above VWAP will filter out the shorts and other way around for longs.
Use ADX
Average directional index is a powerful indicator when one is assessing the strength of a trend as well as measuring the volatility in the market. Unfortunately, the worst market condition for this strategy is sideways market. ADX becomes a useful tool since it can detect trend. If the volatility is low and there is no real price movement, ADX will pick that up and will not let you get in trades during a sideways market. It will allow you to enter trades only when the market is trending.
Use Super trend Filter
The indicator works well in a trending market but can give false signals when a market is trading in a range.
It uses the ATR ( average true range ) as part of its calculation which takes into account the volatility of the market. The ATR is adjusted using the multiplier setting which determines how sensitive the indicator is.
Use MA Filter
Lookback: It is an option to look back x number of candles to validate the price crossing. If the market is choppy and the price keeps crossing up and down the moving average you have chosen, it will generate a lot of “noisy” signals. This option allows you to confirm the cross by selecting how many candles the price needs to stay above or below the moving average. Setting it 0 will turn it off.
MA Filter Type: There is a selection of moving averages that is available on TradingView currently. You can choose from 14 different moving average types to detect the trend as accurate as possible.
Filter Length: You can select the length of your moving average. Most commonly used length being 50,100 and 200.
Filter Type: This is our propriety smoothing method in order to make the moving averages lag less and influence the way they are calculated slightly. Type 1 being the normal calculation and type 2 being the secret sauce .
Reverse MA Filter: This option allows you to use the moving average in reverse. For example, the strategy will go long when the price is above the moving average. However, if you use the reserve MA Filter, you will go short when the price is above the moving average. This method works best in sideways market where price usually retraces back to the moving average. So, in an anticipation of price reverting back to the moving average, it is a useful piece of option to use during sideway markets.
Use MACD Filter
MACD here will act as a filter rather than an entry signal generator. There are a few different ways to use this MACD filter. You can click on the Use MACD filter and it will use filter out the shorts generated in a bullish territory and longs generated in the bearish territory. It will greatly reduce the number of trades the strategy will trade because MACD is a lagging indicator. By the time MACD turns bullish or bearish , most of the other indicators will have already generated the signals. Therefore, resulting in less trades. You can use MACD filter as MA oscillator meaning that it will only look at the MA lines in MACD to filter out trades. Alternatively, you can use it with the histogram (Signal lines) meaning that it will only look at the histogram whether its below or above the zero line in order to filter out the trades.
TP (%)
Place your desired take profit percentage here. Default is 1.5%
Move SL At Entry x% Profit
This is when the strategy will move your SL to the entry point if the position reaches x% profit. It can also generate a signal which can be automated to adjust the SL on the exchange.
SL (%)
Place your desired stop loss percentage here. Default is 1%
The backtester assumes the following;
- 1000$ capital
- 0.06% commission based on binance
- 1% risk meaning 100% equity on cross leverage
- Backtest results are starting from 2020
If you want to get access to this indicator please DM me or visit our website.
RSPRO StrategyStrategy for RSPRO indicator
Based on resistance/support and bollinger band fluctuations this indicator also has filter with x bars after RSI overbought/oversell zones from settings.
There are two types of entries and signals: early (usually before trend changes) and main (when trend started to reverse)
Fits for BTC and any altcoins. And any assets. Good for both scalping and position trading (depends on timeframe that you use)
Best use it with big timeframes: 45 and 90min, 2 and 4 hours for position trading.
For scalping 5-30min timeframes are good too.
In Script settings you can specify:
1) RSI period, 14 by default.
2) Show early entries (squares), enabled by defaults.
3) Show main entries (triangles), enabled by defaults.
4) Enable/Disable filter to show main entries only after RSI overbought/oversell regions
Disabled by defaults and RSI is 67 for upper zone and 33 for lower zone.
You can also specify how many bars back before current bar this filter must do. It's 10 by default, you can vary it up to 90.
+With customisable start/end date, take profit and stop-loss.
This is invite only script. PM me if you want to test it.
Kenan's Deluxe Combo Indicator Scalper Version StrategyThis is a combo strategy of sorts. I've been able to come up with this strategy after a lot of research.
Under Normal circumstances, when people look at dozens of indicators and they all signal, they open positions. So I decided to save people the trouble and put the major indicators together in a strategy.
All of the classic cross strategies usually give a lot of signal. Some of these signals are unnecessary and incorrect signals. Combining leading indicators. I tried to avoid the faulty signals.
Indicators and oscillators included in this strategy are:
1. Ema 5/13/21
2. Macd
3. Macd Dema
4. Ichimoku
5. Dmi
6. Stochastic
7. Aroon
8. Bollinger Band
9. Rsi
10. Chande Momentum Oscillator
11. Exponential Ease of Movement ( Eom )
12. Klinger Oscillator
13. Stochastic RSI
14. Ultimate Oscillator
15. Woodies CCI
16. Rate Of Change Lenght( Roc ) oscillator
17. WaveTrend Oscillator . It was created by @fskrypt.
18. Ehlers Adaptive CG Indicator . It was created by @LazyBear
19. Insync Index. It was created by @LazyBear
This script works by listening to the indicators and oscillators above. Opens new position after receiving signal verification signal from all
So how does this strategy close your position (optional).
1. You can close the position with the trailing stop option.
2. You can close the position according to the Rsi limits. To give an example. After a long position is opened, you can close the position after the rsi has risen above 70.
3. You can close the position according to the Bollinger Band . After a position is opened, you can close the position after the price moves out of the bollinger Band .
You can also change the values of indicators as desired. If you get better results. I would appreciate it if you could contact me via comment or private message.
I set the commission rate at 0.075 percent. If you want, you can change the settings yourself and make backtest.I changed the default settings for some indicators.
Kenan's Deluxe Combo Indicator StrategyThis is a combo strategy of sorts. I've been able to come up with this strategy after a lot of research.
Under Normal circumstances, when people look at dozens of indicators and they all signal, they open positions. So I decided to save people the trouble and put the major indicators together in a strategy.
All of the classic cross strategies usually give a lot of signal. Some of these signals are unnecessary and incorrect signals. Combining leading indicators. I tried to avoid the faulty signals.
Indicators and oscillators included in this strategy are:
1. Ema 5/13/21
2. Macd
3. Macd Dema
4. Ichimoku
5. Dmi
6. Stochastic
7. Aroon
8. Bollinger Band
9. Rsi
10. Chande Momentum Oscillator
11. Exponential Ease of Movement ( Eom )
12. Klinger Oscillator
13. Stochastic RSI
14. Ultimate Oscillator
15. Woodies CCI
16. Rate Of Change Lenght( Roc ) oscillator
17. WaveTrend Oscillator . It was created by @fskrypt.
18. Ehlers Adaptive CG Indicator . It was created by @LazyBear
19. Insync Index. It was created by @LazyBear
This script works by listening to the indicators and oscillators above. Opens new position after receiving signal verification signal from all
So how does this strategy close your position (optional).
1. You can close the position with the trailing stop option.
2. You can close the position according to the Rsi limits. To give an example. After a long position is opened, you can close the position after the rsi has risen above 70.
3. You can close the position according to the Bollinger Band . After a position is opened, you can close the position after the price moves out of the bollinger Band .
You can also change the values of indicators as desired. If you get better results. I would appreciate it if you could contact me via comment or private message.
I set the commission rate at 0.075 percent. If you want, you can change the settings yourself and make backtest.I changed the default settings for some indicators.
Crypto Trend Following StrategyThis is the strategy script indicator of Crypto Trend Following Strategy which can be used for back testing. With study script indicator, strategy can be easily automated.
To set alerts, see Crypto Trend Following Study indicator.
Script is using several moving averages to keep you on the right side of the trend. Signals are also filtered based on other indicators to prevent buying already overbought or selling already oversold coins and avoid ranging markets.
MAIN GOAL
Main goal of the strategy is long-term stable profit. No strategy has 100% accuracy therefore there always will be some false signals. But patience pays, with Trend Following Strategy, you will get couple of small loses while waiting to get big wins when coin is trending strongly. As you never know the right time you must sustain and be in all trades to make sure that you will not miss the big move.
BACKTEST
This script is for free to play with so you can back test and see for yourself how the strategy performs on any of your favourite coins.
Strategy is optimized and back tested for USDT and BTC pairs on 6h timeframe but it can be used on any pair and any timeframe.
RISK & REWARD
Strategy does not use safety orders as DCAs usually leads to bag holding sooner or later. It does not use take profit either as strategy will tell you when to buy and when to sell based on the actual market condition.
You should always use stop loss to protect your account from drawdown or even being liquidated.
You can change stop loss or take profit as you like or even back test the strategy with your preferred settings to find what suits you best.
STRATEGY SETTINGS
You can use the strategy script for fine tuning and find best settings for yourself.
If you need any help with settings do not hesitate to ask. I would also appreciate any feedback and ideas how to improve the script.
==== Indicators settings ====
RSI Long < and StochRSI Long <
• used to filter out buy signals of already overbought coins - ( stoch ) RSI must be under set value to fire a BUY signal
RSI Short > and StochRSI Short >
• used to filter out sell signals of already oversold coins - ( stoch ) RSI must be over set value to fire a SELL signal
ADX >
• used to filter out buy or sell signals in ranging markets - ADX must be over set value to fire a BUY or SELL signal
MA Fast and Slow Length
• Two moving averages to indicate an actual short-term trend
Baseline Length & Type
• Baseline is a moving average which confirms the longer-term trend. You can set length and type of the moving average
==== Test period settings ====
• You can set the back tested window
==== Strategy settings =====
• Target Take profit and Stop loss in %
• Only LONG trades – tick if you do not want to calculate SHORT trades in the back test
• Plot key levels on chart – if you use stop loss and/or take profit, you can turn on levels of price to reach (yellow – bought price, red – stop loss – green - take profit)
Back test calculates with commission and fixed order size. You can change these settings on Properties Tab
Relative Strength Index - 200 EMA CrossoversThis version of RSI uses (RSI, 200) as the signal and color codes the background as well as the RSI/200 line. For the same results as my post use a Length of 5 on RSI, as well as the "area with breaks" as a representation of RSI.
MACD_RSI strategyUse three indicator to entry a position
EMA (20), MACD (12, 26, 20), RSI (14)
apply ema20 on rsi as signal line
Entry long when
price above EMA20, MACD above signal line and RSI above signal line
Entry short when
price below EMA20, MACD below signal line and RSI below signal line
Study only, use it under your own risk.
Omni Trader Accompanying Backtesting StrategyVersion 1.0
Purpose
This backtesting strategy indicator is a accompanying tool for use with my popular trading and alert indicator: Omni Trader | RMI EMA RSI VOL | Margin Focused Indicator
Reference Indicator Link:
Features
This strategy has been programmed to act exactly how the accompanying indicator would be used with an automated strategy such as Autoview or through manual trading
Has identical coloured signals with correct icons for reference with the indicators standard alert conditions (LONG/SHORT)
The ability to toggle on or off all the logic and UI presets you could previously use to enhance the standard indicator
Fully customisable in the settings regarding trading strategy to match exactly how you have the reference indicator set up with alerts or how you are trading manually with it.
Ability to choose a timeframe, want to ignore the crypto boom at the latter stages of 2017? Sure you can, change the time frames in the settings to see a more recent representation of your trades.
Stop Loss & Take Profit enabled in this back tester for fine tuning of your strategy, especially useful for automated users to refine the most profitable settings for your style.
Access
This indicator is free for existing owners of my Omni Trader | RMI EMA RSI VOL | Margin Focused Indicator linked above as an accompanying tool to improve their strategy and net more profit. If you would like access to any of my indicators or would like to know more please find me on my community discord channel where you can find indicator details/documentation and general help:
Discord Link: discord.gg
Thank you for the immense support everyone, happy trading!
- Falco
PT2 Strategies Run Test Beta這是進行Profit Trailer 2環境的回測測試
Backtesting for PT2 (profit trailer 2) strategy Bate Version
目前支援策略
NORMAL BUY Strategy
HIGHBB,LOWBB,BBWIDTH,LOSE,EMAGAIN,EMASPREAD,EMACROSS,SMAGAIN,SMASPREAD,SMACROSS,MACD,RSI,STOCH,STOCHRSI,OVB
NORMAL SELL Strategy
GAIN,HIGHBB,BBWIDTH,EMAGAIN,EMASPREAD,EMACROSS,SMAGAIN,SMASPREAD,SMACROSS,MACD,RSI,STOCH,STOCHRSI,OVB
DCA BUY Strategy
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Noro's Stochastic Strategy v1.3in 1.3:
+ profit became more
+ RSI Period
+ SMI+RSI Mode
+ Color filter
+ background
Uses:
1) Stochastic Momentum Index ("Use SMI-Strategy")
2) Fast RSI , period 2 ("Use RSI-Strategy")
3) SMA Body filter ("Use Body-filter")
4) Color filter ("Use Color-filter")
Hiz_ManFX_Money_PrinterWelcome to the Hiz_ManFX Scalping Strategy, a high-performance closed-source trading tool developed specifically for scalpers and short-term traders who demand precision, speed, and clarity in volatile markets.
⚠️ Disclaimer: This script is for educational and informational purposes only. It is not financial advice. Always practice proper risk management and conduct your own due diligence before live trading.
🚀 Overview
This strategy is built for scalping — taking advantage of short-term price moves — but it is versatile enough to work across all timeframes, including 1-minute, 5-minute, 15-minute, and higher. Whether you're trading forex, crypto, stocks, indices, or commodities, the algorithm adapts dynamically to suit any asset class.
At its core, the Hiz_ManFX system focuses on high-probability trade setups using a carefully engineered combination of technical indicators and filters designed to reduce noise and false signals — critical for fast-paced trading environments.
⚙️ Key Features
✅ Closed-source logic for proprietary signal generation
✅ Optimized for scalping but effective on all timeframes
✅ Compatible with all pairs and instruments
✅ Adaptive filtering for different market conditions
✅ Clear, non-repainting entry and exit signals
✅ Built-in alerts for fast reaction
✅ Designed with simplicity, speed, and performance in mind
🧠 How It Works (Conceptual Breakdown)
While the exact internal mechanics are proprietary, here's a conceptual overview of what goes into the strategy:
🔹 Signal Generation
The strategy uses a confluence-based entry system derived from a combination of well-established indicators and conditions, including (but not limited to):
Momentum-based tools (e.g., RSI or MACD variations)
Trend confirmation (e.g., moving average crossovers)
Volatility triggers
Candle structure recognition (like engulfing or breakout conditions)
🔹 Filters & Confirmation
Multiple confirmation layers help prevent false signals in choppy conditions. This includes dynamic trend filters and adaptive thresholds tuned for different volatility environments.
🔹 Exit Logic
Take-Profit and Stop-Loss levels are designed to be risk-efficient, with logic that adapts based on market structure or fixed pip/percentage ranges. The strategy does not aim for long holding periods but instead focuses on frequent, fast trades with a high win rate.
📊 Performance & Backtesting Notes
In internal backtests using various instruments and conditions:
Win Rate: ~80% on average in trending markets
Drawdown: Controlled with consistent stop placement
Trade Frequency: High, especially on lower timeframes
Sample Size: Over 100+ trades on typical backtest datasets
Note: All results are for historical simulation only and may vary in real-time conditions. Settings and performance can differ depending on market conditions, spread, slippage, and broker.
🕐 Recommended Timeframes
1M, 3M, 5M, 15M for scalping
1H and 4H for swing traders using the same logic
Can also be tested on daily charts for longer-term strategies
💹 Best Markets
This strategy has been tested across:
Major forex pairs (EUR/USD, GBP/USD, USD/JPY, etc.)
Highly liquid crypto assets (BTC, ETH, SOL, etc.)
Indices like NASDAQ, SPX, and DAX
Large-cap stocks and volatile commodities
It is especially effective in high-volume, trending environments.
🔒 Closed-Source Transparency
While the logic remains closed-source to protect the proprietary algorithm, this description aims to provide a transparent understanding of how the tool works, what it looks for, and how traders can benefit from its structure.
You are encouraged to test it in demo environments, observe how the signals behave across different assets, and customize alerts to match your workflow.
🙋♂️ About Hiz_ManFX
I’m a dedicated trader and system developer focused on building tools that make a difference — not just in theory, but in real-time decision-making. This script reflects months of testing, optimization, and market experience.
📩 Support & Feedback
I value your feedback! If you have questions, suggestions, or want to share results, feel free to reach out through comments or via profile contact.
✅ Summary
The Hiz_ManFX Scalping Strategy is a high-probability, multi-indicator system built for serious traders who want an edge in fast-moving markets. While it doesn't promise perfection (no system can), it delivers structure, logic, and efficiency in every signal it provides.
Thank you for using Hiz_ManFX — trade smart, manage your risk, and stay consistent.
Let me know if you want to tailor this further for a specific platform, indicator name, or feature description.
Anomalous Holonomy Field Theory🌌 Anomalous Holonomy Field Theory (AHFT) - Revolutionary Quantum Market Analysis
Where Theoretical Physics Meets Trading Reality
A Groundbreaking Synthesis of Differential Geometry, Quantum Field Theory, and Market Dynamics
🔬 THEORETICAL FOUNDATION - THE MATHEMATICS OF MARKET REALITY
The Anomalous Holonomy Field Theory represents an unprecedented fusion of advanced mathematical physics with practical market analysis. This isn't merely another indicator repackaging old concepts - it's a fundamentally new lens through which to view and understand market structure .
1. HOLONOMY GROUPS (Differential Geometry)
In differential geometry, holonomy measures how vectors change when parallel transported around closed loops in curved space. Applied to markets:
Mathematical Formula:
H = P exp(∮_C A_μ dx^μ)
Where:
P = Path ordering operator
A_μ = Market connection (price-volume gauge field)
C = Closed price path
Market Implementation:
The holonomy calculation measures how price "remembers" its journey through market space. When price returns to a previous level, the holonomy captures what has changed in the market's internal geometry. This reveals:
Hidden curvature in the market manifold
Topological obstructions to arbitrage
Geometric phase accumulated during price cycles
2. ANOMALY DETECTION (Quantum Field Theory)
Drawing from the Adler-Bell-Jackiw anomaly in quantum field theory:
Mathematical Formula:
∂_μ j^μ = (e²/16π²)F_μν F̃^μν
Where:
j^μ = Market current (order flow)
F_μν = Field strength tensor (volatility structure)
F̃^μν = Dual field strength
Market Application:
Anomalies represent symmetry breaking in market structure - moments when normal patterns fail and extraordinary opportunities arise. The system detects:
Spontaneous symmetry breaking (trend reversals)
Vacuum fluctuations (volatility clusters)
Non-perturbative effects (market crashes/melt-ups)
3. GAUGE THEORY (Theoretical Physics)
Markets exhibit gauge invariance - the fundamental physics remains unchanged under certain transformations:
Mathematical Formula:
A'_μ = A_μ + ∂_μΛ
This ensures our signals are gauge-invariant observables , immune to arbitrary market "coordinate changes" like gaps or reference point shifts.
4. TOPOLOGICAL DATA ANALYSIS
Using persistent homology and Morse theory:
Mathematical Formula:
β_k = dim(H_k(X))
Where β_k are the Betti numbers describing topological features that persist across scales.
🎯 REVOLUTIONARY SIGNAL CONFIGURATION
Signal Sensitivity (0.5-12.0, default 2.5)
Controls the responsiveness of holonomy field calculations to market conditions. This parameter directly affects the threshold for detecting quantum phase transitions in price action.
Optimization by Timeframe:
Scalping (1-5min): 1.5-3.0 for rapid signal generation
Day Trading (15min-1H): 2.5-5.0 for balanced sensitivity
Swing Trading (4H-1D): 5.0-8.0 for high-quality signals only
Score Amplifier (10-200, default 50)
Scales the raw holonomy field strength to produce meaningful signal values. Higher values amplify weak signals in low-volatility environments.
Signal Confirmation Toggle
When enabled, enforces additional technical filters (EMA and RSI alignment) to reduce false positives. Essential for conservative strategies.
Minimum Bars Between Signals (1-20, default 5)
Prevents overtrading by enforcing quantum decoherence time between signals. Higher values reduce whipsaws in choppy markets.
👑 ELITE EXECUTION SYSTEM
Execution Modes:
Conservative Mode:
Stricter signal criteria
Higher quality thresholds
Ideal for stable market conditions
Adaptive Mode:
Self-adjusting parameters
Balances signal frequency with quality
Recommended for most traders
Aggressive Mode:
Maximum signal sensitivity
Captures rapid market moves
Best for experienced traders in volatile conditions
Dynamic Position Sizing:
When enabled, the system scales position size based on:
Holonomy field strength
Current volatility regime
Recent performance metrics
Advanced Exit Management:
Implements trailing stops based on ATR and signal strength, with mode-specific multipliers for optimal profit capture.
🧠 ADAPTIVE INTELLIGENCE ENGINE
Self-Learning System:
The strategy analyzes recent trade outcomes and adjusts:
Risk multipliers based on win/loss ratios
Signal weights according to performance
Market regime detection for environmental adaptation
Learning Speed (0.05-0.3):
Controls adaptation rate. Higher values = faster learning but potentially unstable. Lower values = stable but slower adaptation.
Performance Window (20-100 trades):
Number of recent trades analyzed for adaptation. Longer windows provide stability, shorter windows increase responsiveness.
🎨 REVOLUTIONARY VISUAL SYSTEM
1. Holonomy Field Visualization
What it shows: Multi-layer quantum field bands representing market resonance zones
How to interpret:
Blue/Purple bands = Primary holonomy field (strongest resonance)
Band width = Field strength and volatility
Price within bands = Normal quantum state
Price breaking bands = Quantum phase transition
Trading application: Trade reversals at band extremes, breakouts on band violations with strong signals.
2. Quantum Portals
What they show: Entry signals with recursive depth patterns indicating momentum strength
How to interpret:
Upward triangles with portals = Long entry signals
Downward triangles with portals = Short entry signals
Portal depth = Signal strength and expected momentum
Color intensity = Probability of success
Trading application: Enter on portal appearance, with size proportional to portal depth.
3. Field Resonance Bands
What they show: Fibonacci-based harmonic price zones where quantum resonance occurs
How to interpret:
Dotted circles = Minor resonance levels
Solid circles = Major resonance levels
Color coding = Resonance strength
Trading application: Use as dynamic support/resistance, expect reactions at resonance zones.
4. Anomaly Detection Grid
What it shows: Fractal-based support/resistance with anomaly strength calculations
How to interpret:
Triple-layer lines = Major fractal levels with high anomaly probability
Labels show: Period (H8-H55), Price, and Anomaly strength (φ)
⚡ symbol = Extreme anomaly detected
● symbol = Strong anomaly
○ symbol = Normal conditions
Trading application: Expect major moves when price approaches high anomaly levels. Use for precise entry/exit timing.
5. Phase Space Flow
What it shows: Background heatmap revealing market topology and energy
How to interpret:
Dark background = Low market energy, range-bound
Purple glow = Building energy, trend developing
Bright intensity = High energy, strong directional move
Trading application: Trade aggressively in bright phases, reduce activity in dark phases.
📊 PROFESSIONAL DASHBOARD METRICS
Holonomy Field Strength (-100 to +100)
What it measures: The Wilson loop integral around price paths
>70: Strong positive curvature (bullish vortex)
<-70: Strong negative curvature (bearish collapse)
Near 0: Flat connection (range-bound)
Anomaly Level (0-100%)
What it measures: Quantum vacuum expectation deviation
>70%: Major anomaly (phase transition imminent)
30-70%: Moderate anomaly (elevated volatility)
<30%: Normal quantum fluctuations
Quantum State (-1, 0, +1)
What it measures: Market wave function collapse
+1: Bullish eigenstate |↑⟩
0: Superposition (uncertain)
-1: Bearish eigenstate |↓⟩
Signal Quality Ratings
LEGENDARY: All quantum fields aligned, maximum probability
EXCEPTIONAL: Strong holonomy with anomaly confirmation
STRONG: Good field strength, moderate anomaly
MODERATE: Decent signals, some uncertainty
WEAK: Minimal edge, high quantum noise
Performance Metrics
Win Rate: Rolling performance with emoji indicators
Daily P&L: Real-time profit tracking
Adaptive Risk: Current risk multiplier status
Market Regime: Bull/Bear classification
🏆 WHY THIS CHANGES EVERYTHING
Traditional technical analysis operates on 100-year-old principles - moving averages, support/resistance, and pattern recognition. These work because many traders use them, creating self-fulfilling prophecies.
AHFT transcends this limitation by analyzing markets through the lens of fundamental physics:
Markets have geometry - The holonomy calculations reveal this hidden structure
Price has memory - The geometric phase captures path-dependent effects
Anomalies are predictable - Quantum field theory identifies symmetry breaking
Everything is connected - Gauge theory unifies disparate market phenomena
This isn't just a new indicator - it's a new way of thinking about markets . Just as Einstein's relativity revolutionized physics beyond Newton's mechanics, AHFT revolutionizes technical analysis beyond traditional methods.
🔧 OPTIMAL SETTINGS FOR MNQ 10-MINUTE
For the Micro E-mini Nasdaq-100 on 10-minute timeframe:
Signal Sensitivity: 2.5-3.5
Score Amplifier: 50-70
Execution Mode: Adaptive
Min Bars Between: 3-5
Theme: Quantum Nebula or Dark Matter
💭 THE JOURNEY - FROM IMPOSSIBLE THEORY TO TRADING REALITY
Creating AHFT was a mathematical odyssey that pushed the boundaries of what's possible in Pine Script. The journey began with a seemingly impossible question: Could the profound mathematical structures of theoretical physics be translated into practical trading tools?
The Theoretical Challenge:
Months were spent diving deep into differential geometry textbooks, studying the works of Chern, Simons, and Witten. The mathematics of holonomy groups and gauge theory had never been applied to financial markets. Translating abstract mathematical concepts like parallel transport and fiber bundles into discrete price calculations required novel approaches and countless failed attempts.
The Computational Nightmare:
Pine Script wasn't designed for quantum field theory calculations. Implementing the Wilson loop integral, managing complex array structures for anomaly detection, and maintaining computational efficiency while calculating geometric phases pushed the language to its limits. There were moments when the entire project seemed impossible - the script would timeout, produce nonsensical results, or simply refuse to compile.
The Breakthrough Moments:
After countless sleepless nights and thousands of lines of code, breakthrough came through elegant simplifications. The realization that market anomalies follow patterns similar to quantum vacuum fluctuations led to the revolutionary anomaly detection system. The discovery that price paths exhibit holonomic memory unlocked the geometric phase calculations.
The Visual Revolution:
Creating visualizations that could represent 4-dimensional quantum fields on a 2D chart required innovative approaches. The multi-layer holonomy field, recursive quantum portals, and phase space flow representations went through dozens of iterations before achieving the perfect balance of beauty and functionality.
The Balancing Act:
Perhaps the greatest challenge was maintaining mathematical rigor while ensuring practical trading utility. Every formula had to be both theoretically sound and computationally efficient. Every visual had to be both aesthetically pleasing and information-rich.
The result is more than a strategy - it's a synthesis of pure mathematics and market reality that reveals the hidden order within apparent chaos.
📚 INTEGRATED DOCUMENTATION
Once applied to your chart, AHFT includes comprehensive tooltips on every input parameter. The source code contains detailed explanations of the mathematical theory, practical applications, and optimization guidelines. This published description provides the overview - the indicator itself is a complete educational resource.
⚠️ RISK DISCLAIMER
While AHFT employs advanced mathematical models derived from theoretical physics, markets remain inherently unpredictable. No mathematical model, regardless of sophistication, can guarantee future results. This strategy uses realistic commission ($0.62 per contract) and slippage (1 tick) in all calculations. Past performance does not guarantee future results. Always use appropriate risk management and never risk more than you can afford to lose.
🌟 CONCLUSION
The Anomalous Holonomy Field Theory represents a quantum leap in technical analysis - literally. By applying the profound insights of differential geometry, quantum field theory, and gauge theory to market analysis, AHFT reveals structure and opportunities invisible to traditional methods.
From the holonomy calculations that capture market memory to the anomaly detection that identifies phase transitions, from the adaptive intelligence that learns and evolves to the stunning visualizations that make the invisible visible, every component works in mathematical harmony.
This is more than a trading strategy. It's a new lens through which to view market reality.
Trade with the precision of physics. Trade with the power of mathematics. Trade with AHFT.
I hope this serves as a good replacement for Quantum Edge Pro - Adaptive AI until I'm able to fix it.
— Dskyz, Trade with insight. Trade with anticipation.
