Relativity BEARS FUTURES 50X 4H AlgorithmHi,
This system is prepared only for leveraged markets and for Futures and CFD markets.
Leveraged processing apply to cryptocurrency contracts that are also subject to.
System parameters:
Timeframe = 4H (4 Hours)
Leverage = 50X
Position Size = %1 (0.01) Each Trade
Market Direction : Short
System features :
- It targets the Risk /Reward Ratio of 1/3 and above. (Risk/Reward Ratio >= 3 )
- If a Take Profit Point has come in a successful trade but the parameter conformity has not deteriorated, system continues the trade.
- In this way, you can catch strong long trends several times a year.
But it is strict as stop-loss and avoids large declines,whipsaws whenever possible.
- The system tries to avoid unnecessary processes as much as possible.
This means less commission and less sideways market.
- Since it takes advantage of the reverse market, it is suitable not only for long and short but only for short position, ie "bears".
But this neutralizes unnecessary processes.
- Stop-Loss points and Snow-take points are shown in red and green.
-However, if there is a small amount of follow-up available at the computer, it is recommended to put stop-loss only.
Because the system revises both stop-loss and take profit points according to the conditions formed.
Doing this in the right major long trend here allows you to be in trades.
-The system takes into account the risk and only opens transactions where the value corresponding to 10 leverage ratio is greater than the risk.
This provides as much protection from risk as possible.
-Alerts added.
About Backtest :
Since this system uses leveraged market, backtest results are not healthy.
But since it targets the 1/3 Risk Reward Rate (3.00),
we must look Ratio Avg Win/Loss and it must be over 0.5 because :
This ratio means: When we reach 33% of our correct trades in all our trades, we are at breakeven.
This is 100 - 33 = 66
33/66 = 0.5 (Ratio Avg. Win / Avg Loss )
So whenever this rate is over 0.5, we make a profit.
*** The fact that this ratio is over 0.70-1.00 in terms of securing ourselves because there is a maturity in the future indicates that we are doing
successful snowball trades.(Because future contracts have loss of maturity and end dates)
And we achieve success cumulatively.
Important Note : This system is prepared only for these parameters.
These parameters are designed for Futures and CFDs.
It doesn't work in spot markets and Forex Markets.
NOTE :
The system has been prepared as a strategy to present success in a transparent manner.
Please check "Ratio Avg . Win / Avg Loss" rates in backtests.(Especially preferred financial instruments what you trade generally)
Important Note 2 -
Although the system revises the stop and take profit points in the required parameters, the most accurate place is when the signal comes.
It should be entered when the signal comes as much as possible and if this did not happen,
trade must be opened in the nearest bars after the signal comes.
If the position is not closed, renew your position in the new month by observing the maturity conditions.
Here you should pay attention to the maturity, the cost of transportation.
Because the more time to maturity, the more advantageous it will be.
Best regards.
Cari dalam skrip untuk "stop loss"
Relativity BULLS FUTURES 50X 4H AlgorithmHi,
This system is prepared only for leveraged markets and for Futures and CFD markets.
Leveraged processing apply to cryptocurrency contracts that are also subject to.
System parameters:
Timeframe = 4H (4 Hours)
Leverage = 50X
Position Size = %1 (0.01) Each Trade
System features :
- It targets the Risk /Reward Ratio of 1/3 and above. (Risk/Reward Ratio >= 3 )
- If a Take Profit Point has come in a successful trade but the parameter conformity has not deteriorated, system continues the trade.
- In this way, you can catch strong long trends several times a year.
But it is strict as stop-loss and avoids large declines,whipsaws whenever possible.
- The system tries to avoid unnecessary processes as much as possible.
This means less commission and less sideways market.
- Since it takes advantage of the reverse market, it is suitable not only for long and short but only for long position, ie "bulls".
But this neutralizes unnecessary processes.
- Stop-Loss points and Snow-take points are shown in red and green.
-However, if there is a small amount of follow-up available at the computer, it is recommended to put stop-loss only.
Because the system revises both stop-loss and take profit points according to the conditions formed.
Doing this in the right major long trend here allows you to be in trades.
-The system takes into account the risk and only opens transactions where the value corresponding to 10 leverage ratio is greater than the risk.
This provides as much protection from risk as possible.
-Alerts added.
About Backtest :
Since this system uses leveraged market, backtest results are not healthy.
But since it targets the 1/3 Risk Reward Rate (3.00),
we must look Ratio Avg Win/Loss and it must be over 0.5 because :
This ratio means: When we reach 33% of our correct trades in all our trades, we are at breakeven.
This is 100 - 33 = 66
33/66 = 0.5
So whenever this rate is over 0.5, we make a profit.
*** The fact that this ratio is over 0.70-1.00 in terms of securing ourselves because there is a maturity in the future indicates that we are doing
successful snowball trades.(Because future contracts have loss of maturity and end dates)
And we achieve success cumulatively.
Important Note : This system is prepared only for these parameters.
These parameters are designed for Futures and CFDs.
It doesn't work in spot markets and Forex Markets.
NOTE :
The system has been prepared as a strategy to present success in a transparent manner.
Please check "Ratio Avg . Win / Avg Loss" rates in backtests.
Important Note 2 -
Although the system revises the stop and take profit points in the required parameters, the most accurate place is when the signal comes.
It should be entered when the signal comes as much as possible and if this did not happen,
trade must be opened in the nearest bars after the signal comes.
If the position is not closed, renew your position in the new month by observing the maturity conditions.
Here you should pay attention to the maturity, the cost of transportation.
Because the more time to maturity, the more advantageous it will be.
Best regards.
Relativity BEARS FUTURES 10X 1D AlgorithmHi,
This system is prepared only for leveraged markets and for Futures and CFD markets.
Leveraged processing apply to cryptocurrency contracts that are also subject to.
System parameters:
Timeframe = 1D (1 Day)
Leverage = 10x
Position Size = %1 (0.01) Each Trade
System features :
- It targets the Risk /Reward Ratio of 1/3 and above. (Risk/Reward Ratio >= 3 )
- If a Take Profit Point has come in a successful trade but the parameter conformity has not deteriorated, system continues the trade.
- In this way, you can catch strong long trends several times a year.
But it is strict as stop-loss and avoids large declines,whipsaws whenever possible.
- The system tries to avoid unnecessary processes as much as possible.
This means less commission and less sideways market.
- Since it takes advantage of the reverse market, it is suitable not only for long and short but only for short position, ie "bears".
But this neutralizes unnecessary processes.
- Stop-Loss points and Snow-take points are shown in red and green.
-However, if there is a small amount of follow-up available at the computer, it is recommended to put stop-loss only.
Because the system revises both stop-loss and take profit points according to the conditions formed.
Doing this in the right major long trend here allows you to be in trades.
-The system takes into account the risk and only opens transactions where the value corresponding to 10 leverage ratio is greater than the risk.
This provides as much protection from risk as possible.
-Alerts added.
About Backtest :
Since this system uses leveraged market, backtest results are not healthy.
But since it targets the 1/3 Risk Reward Rate (3.00),
we must look Ratio Avg Win/Loss and it must be over 0.5 because :
This ratio means: When we reach 33% of our correct trades in all our trades, we are at breakeven.
This is 100 - 33 = 66
33/66 = 0.5
So whenever this rate is over 0.5, we make a profit.
*** The fact that this ratio is over 0.70-1.00 in terms of securing ourselves because there is a maturity in the future indicates that we are doing
successful snowball trades.(Because future contracts have loss of maturity and end dates)
And we achieve success cumulatively.
Important Note : This system is prepared only for these parameters.
These parameters are designed for Futures and CFDs.
It doesn't work in spot markets and Forex Markets.
NOTE :
The system has been prepared as a strategy to present success in a transparent manner.
Please check "Ratio Avg . Win / Loss" rates in backtests.
Important Note 2 -
Although the system revises the stop and take profit points in the required parameters, the most accurate place is when the signal comes.
It should be entered when the signal comes as much as possible and if this did not happen,
trade must be opened in the nearest bars after the signal comes.
Here you should pay attention to the maturity, the cost of transportation.
Because the more time to maturity, the more advantageous it will be.
Best regards.
Relativity BULLS FUTURES 10X 1D AlgorithmHi,
This system is prepared only for leveraged markets and for Futures and CFD markets.
Leveraged processing apply to cryptocurrency contracts that are also subject to.
System parameters:
Timeframe = 1D (1 Day)
Leverage = 10x
Position Size = %1 (0.01) Each Trade
System features :
- It targets the Risk /Reward Ratio of 1/3 and above. (Risk/Reward Ratio >= 3 )
- If a Take Profit Point has come in a successful trade but the parameter conformity has not deteriorated, system continues the trade.
- In this way, you can catch strong long trends several times a year.
But it is strict as stop-loss and avoids large declines,whipsaws whenever possible.
- The system tries to avoid unnecessary processes as much as possible.
This means less commission and less sideways market.
- Since it takes advantage of the reverse market, it is suitable not only for long and short but only for long position, ie "bulls".
But this neutralizes unnecessary processes. (Short market direction, the system for bears will be published separately.)
- Stop-Loss points and Snow-take points are shown in red and green.
-However, if there is a small amount of follow-up available at the computer, it is recommended to put stop-loss only.
Because the system revises both stop-loss and take profit points according to the conditions formed.
Doing this in the right major long trend here allows you to be in trades.
-The system takes into account the risk and only opens transactions where the value corresponding to 10 leverage ratios is greater than the risk.
This provides as much protection from risk as possible.
-Alerts added.
About Backtest :
Since this system uses leveraged market, backtest results are not healthy.
But since it targets the 1/3 Risk Reward Rate (3.00),
we must look Ratio Avg Win/Loss and it must be over 0.5 because :
This ratio means: When we reach 33% of our correct trades in all our trades, we are at breakeven.
This is 100 - 33 = 66
33/66 = 0.5
So whenever this rate is over 0.5, we make a profit.
*** The fact that this ratio is over 0.70-1.00 in terms of securing ourselves because there is a maturity in the future indicates that we are doing
successful snowball trades.(Because future contracts have loss of maturity and end dates)
And we achieve success cumulatively.
Important Note : This system is prepared only for these parameters.
These parameters are designed for Futures and CFDs.
It doesn't work in spot markets.
NOTE :
The system has been prepared as a strategy to present success in a transparent manner.
Please check "Ratio Avg. Win / Loss" rates in backtests.
Important Note 2 -
Although the system revises the stop and take profit points in the required parameters, the most accurate place is when the signal comes.
It should be entered when the signal comes as much as possible and if this did not happen,
trade must be opened in the nearest bars after the signal comes.
Best regards.
MARUSIA TRADING STRATEGIES [VCRYPTO]Description of MARUSIA TRADING STRATEGIES
ยซMARUSIAยป is a compilation of several strategies.
You may choose the one which best suits your trading habit from options menu.
The strategies are based on indicatorโs and barโs closing level analysis on different timeframes.
At the time being there are 3 types of strategies for BTC on 1H and 3H tf.
+++ BTC 1H 90% Success +++ (Beginner)
Instrument - BTC, timeframe โ 1H, exchange โ Bitmex.
The advantage of the strategy is a high quantity of profitable trades (90% at the time of publishing).
The Trading View backtest results from 2019:
+ 303% net profit
+ 90% profitable trades
+ 6% drawback
+++ BTC 1H Mega Scalper +++ (Intermediate)
Instrument - BTC, timeframe โ 1H, exchange โ Bitmex.
The advantage of the strategy is more frequent trades with a good probability of success.
The Trading View backtest results from 2019:
+ 792% net profit
+ 64% profitable trades
+ 5% drawback
+++ BTC 3H Mega Scalper +++ (Expert)
Instrument - BTC, timeframe โ 3H, exchange โ Bitmex.
The advantage of the strategy is more frequent trades with a good probability of success.
The Trading View backtest results from 2018:
+ 1637% net profit
+ 79% profitable trades
+ 4,4% drawback
HOW TO USE
1. Choose the strategy from the strategyโs option menu on the chart. Pay attention to the instrument and timeframe you are using the selected strategy for.
2. Wait until you see green (above bar) or orange (below bar) label. To receive an alert when these labels (or signals) appear on the chart use ALERT INDICATOR for this strategy.
3. On the opening of the next bar enter the position if the label on the previous bar hasnโt disappeared. Green โ for Buy, orange โ for Sell. In this case you will see Buy/Sell signal on the chart.
4. Putting TRAILING STOPS
4.1. You should put a trailing stop when the price moves to profit up or down for 1% from your entry. For example, if you are long at 7255 USD and price moves up to 7328 USD (7255*1.01), put trailing stop with a trailing value 0,4% of your entry price, which is 29 USD (7255*0.004).
4.2. Every time when there is a long or short position, you may see a green info label with entry price, trail stop activation level and trail value. You may use this information instead of making a calculation by yourself. Only if your entry is the same as in the label.
5. Position closing maybe by reaching your trailing stop (in this case you may reenter the position on the next bar, if there is a signal label as per step 2 on the bar where your trailing stop is triggered) or when there is a signal for opposite direction.
6. If the signals appear differently than described as above, just refresh the website of Trading View. This happens because mostly take profits are shown only after the current bar is closed.
โข The Buy/Sell signal label may move up or down on the bar with priceโs movement. Donโt worry it doesnโt mean that your entry is changing.
โข The lines on the chart are weekly price levels โ the price levels of the previous week โ
Green โ open, Red โ close, Blue โ high, Brown โ low, Black โ hl2 (average of high and low). You may use them as support and resistance levels.
***
+ Trading View backtest results
+No repaint
+ Several strategies to choose which suits your trading habit
+Free testing
+Support with a call
Pm to get access to the strategy.
____________________________________________________________________________
ะะฟะธัะฐะฝะธะต ะบ ัััะฐัะตะณะธะธ "MARUSIA TRADING STRATEGIES "
ะกะฑะพัะฝะธะบ ะฝะตัะบะพะปัะบะธั
ัััะฐัะตะณะธะน ัะตัะธะธ "Marusia"
ะัะฑะพั ะบะพะฝะบัะตัะฝะพะน ัััะฐัะตะณะธะธ ะพัััะตััะฒะปัะตััั ะธะท ัะดะพะฑะฝะพะณะพ ะผะตะฝั
ะัะฝะพะฒะฐ ะฝะฐัะธั
ัััะฐัะตะณะธะน - ัะพะฒะผะตัะตะฝะธะต ะธะฝะดะธะบะฐัะพัะฝะพะณะพ ะฐะฝะฐะปะธะทะฐ ะธ ะฐะฝะฐะปะธะทะฐ ััะพะฒะฝั ะทะฐะบัััะธั ัะฒะตัะตะน ะฝะฐ ัะฐะทะฝัั
ะฒัะตะผะตะฝะฝัั
ะธะฝัะตัะฒะฐะปะฐั
(ะฐะฝะฐะปะธะท ััะพะฒะฝะตะน).
+++ BTC 1H 90% Success +++ (Beginner)
ะกััะฐัะตะณะธั ัะฐะฑะพัะฐะตั ะฝะฐ ะธะฝััััะผะตะฝัะต Bitcoin (BTC) ะฟะพ ะบะพัะธัะพะฒะบะฐะผ ะฑะธัะถะธ BITMEX ะฝะฐ 1 ัะฐัะพะฒะพะผ ัะฐะนะผััะตะนะผะต (1H).
ะัะฝะพะฒะฝะพะต ะฟัะตะธะผััะตััะฒะพ ะดะฐะฝะฝะพะน ัััะฐัะตะณะธะธ - ััะฟะตัะฒััะพะบะฐั ััะฟะตัะฝะพััั ัะดะตะปะพะบ (ะฑะพะปะตะต 90% ะฝะฐ ะผะพะผะตะฝั ะฟัะฑะปะธะบะฐัะธะธ).
ะะฐะฝะฝะฐั ัััะฐัะตะณะธั ะฟัะตะดััะฐะฒะปัะตั ัะพะฑะพะน ะณะธะฑัะธะด ััะตะดะฝะตััะพัะฝัั
ัััะฐัะตะณะธะน ะฟะพ ัะฐััะพัะต ัะดะตะปะพะบ (ั 2019 ะฟะพ 12.04.2020 - 204 ัะดะตะปะบะธ, ะฒ ััะตะดะฝะตะผ ะพะดะฝะฐ ัะดะตะปะบะฐ ัะฐะท ะฒ 2 ะดะฝั) ะธ ัะปะตะผะตะฝั ะฒััะพะบะพัะฐััะพัะฝัั
(ัะบะฐะปัะฟ) ัััะฐัะตะณะธะน - ะฝะตะพะฑั
ะพะดะธะผะพ ะฒัััะฐะฒะปะตะฝะธะต ะธัะฟะพะปัะทะพะฒะฐะฝะธะต ัะบะพะปัะทััะตะณะพ ััะพะฟ-ะฟัะธะบะฐะทะฐ (trailing stop-loss), ัะฐััะตัะฝัะต ะดะฐะฝะฝัะต ะฟะพ ะบะพัะพัะพะผั ะฟะพัะฒะปััััั ะฟััะผะพ ะฝะฐ ัะบัะฐะฝะต ะฟัะธ ะพัะบัััะธะธ ัะดะตะปะบะธ.
ะกัะฐัะธััะธะบะฐ ะฟะพ ะดะฐะฝะฝะพะน ัััะฐัะตะณะธะธ, ะฟะพะดัะฒะตัะถะดะตะฝะฝะฐั ะฑัะบัะตััะพะผ ะฒ Trading View
ะก 2019 ะณะพะดะฐ ะดะพ ะผะพะผะตะฝัะฐ ะฟัะฑะปะธะบะฐัะธะธ ัััะฐัะตะณะธะธ ะฑะตะบัะตัั ะฟะพะบะฐะทัะฒะฐะตั ัะปะตะดัััะธะต ะดะฐะฝะฝัะต:
+ 303% ัะธััะพะน ะฟัะธะฑัะปะธ
+ 90% ััะฟะตัะฝัั
ัะดะตะปะพะบ
+ 6% ะผะฐะบั. ะตะดะธะฝะพะฒัะตะผะตะฝะฝะฐั ะฟัะพัะฐะดะบะฐ
+++ BTC 1H Mega Scalper +++ (Intermediate)
ะกััะฐัะตะณะธั ัะฐะฑะพัะฐะตั ะฝะฐ ะธะฝััััะผะตะฝัะต Bitcoin (BTC) ะฟะพ ะบะพัะธัะพะฒะบะฐะผ ะฑะธัะถะธ BITMEX ะฝะฐ 1 ัะฐัะพะฒะพะผ ัะฐะนะผััะตะนะผะต (1H)
ะัะฝะพะฒะฝะพะต ะฟัะตะธะผััะตััะฒะพ ะดะฐะฝะฝะพะน ัััะฐัะตะณะธะธ - ะฒััะพะบะพัะฐััะพัะฝัะต ัะดะตะปะบะธ ั ั
ะพัะพัะตะน ะฒะตัะพััะฝะพัััั ััะฟะตั
ะฐ.
ะก 2019 ะณะพะดะฐ ะดะพ ะผะพะผะตะฝัะฐ ะฟัะฑะปะธะบะฐัะธะธ ัััะฐัะตะณะธะธ ะฑะตะบัะตัั Trading View ะฟะพะบะฐะทัะฒะฐะตั ัะปะตะดัััะธะต ะดะฐะฝะฝัะต:
+ 792% ัะธััะพะน ะฟัะธะฑัะปะธ
+ 64% ััะฟะตัะฝัั
ัะดะตะปะพะบ
+ 5% ะผะฐะบั. ะตะดะธะฝะพะฒัะตะผะตะฝะฝะฐั ะฟัะพัะฐะดะบะฐ
+++ BTC 3H Mega Scalper +++ (Expert)
ะกััะฐัะตะณะธั ัะฐะฑะพัะฐะตั ะฝะฐ ะธะฝััััะผะตะฝัะต Bitcoin (BTC) ะฟะพ ะบะพัะธัะพะฒะบะฐะผ ะฑะธัะถะธ BITMEX ะฝะฐ 3 ัะฐัะพะฒะพะผ ัะฐะนะผััะตะนะผะต (3H)
ะัะฝะพะฒะฝะพะต ะฟัะตะธะผััะตััะฒะพ ะดะฐะฝะฝะพะน ัััะฐัะตะณะธะธ - ะฒััะพะบะพัะฐััะพัะฝัะต ัะดะตะปะบะธ ั ั
ะพัะพัะตะน ะฒะตัะพััะฝะพัััั ััะฟะตั
ะฐ
ะก 2019 ะณะพะดะฐ ะดะพ ะผะพะผะตะฝัะฐ ะฟัะฑะปะธะบะฐัะธะธ ัััะฐัะตะณะธะธ ะฑะตะบัะตัั Trading View ะฟะพะบะฐะทัะฒะฐะตั ัะปะตะดัััะธะต ะดะฐะฝะฝัะต:
+ 1637% ัะธััะพะน ะฟัะธะฑัะปะธ
+ 79% ััะฟะตัะฝัั
ัะดะตะปะพะบ
+ 4,4% ะผะฐะบั. ะตะดะธะฝะพะฒัะตะผะตะฝะฝะฐั ะฟัะพัะฐะดะบะฐ
***
ะะฝััััะบะธัะธั ะฟะพ ะธัะฟะพะปัะทะพะฒะฐะฝะธั:
1. ะั ะพัะบััะฒะฐะตัะต ะณัะฐัะธะบ ั ะฒะบะปััะตะฝะฝะพะน ัััะฐัะตะณะธะตะน. ะะฑัะฐัะธัะต ะฒะฝะธะผะฐะฝะธะต ะฝะฐ ะธะฝััััะผะตะฝั ะธ ัะฐะนะผััะตะนะผ ัััะฐัะตะณะธะธ.
2. ะะถะธะดะฐะตัะต ะฟะพัะฒะปะตะฝะธั ะฝะฐ ะณัะฐัะธะบะต ะทะตะปะตะฝะพะณะพ (ัะฝะธะทั) ะธะปะธ ะพัะฐะฝะถะตะฒะพะณะพ (ัะฒะตัั
ั) ัะปะฐะถะบะฐ.
ะะปั ะฟะพะปััะตะฝะธั ัะฒะตะดะพะผะปะตะฝะธั ะฟะพัะฒะปะตะฝะธั ะทะฝะฐัะบะพะฒ (ัะธะณะฝะฐะปะพะฒ) ะธัะฟะพะปัะทัะนัะต ะะะะ ะขะะซะ ะะะะะะะขะะ ะดะปั ะดะฐะฝะฝะพะน ัััะฐัะตะณะธะธ.
3. ะะฐ ะพัะบัััะธะธ ัะปะตะดัััะตะน ัะฒะตัะธ ะฒั
ะพะดะธัะต ะฒ ัะดะตะปะบั, ะตัะปะธ ัะปะฐะถะตะบ ะธะท ะฟ.2 ะพััะฐะปัั ะธ ะฝะต ะฟัะพะฟะฐะป (ะทะตะปะตะฝัะน ัะปะฐะถะตะบ - ะฟะพะบัะฟะบะฐ, ะพัะฐะฝะถะตะฒัะน - ะฟัะพะดะฐะถะฐ)
4. ะัััะฐะฒะปะตะฝะธะต trailing stop-loss
4.1 Trailing stop-loss ะฒัััะฐะฒะปัะตััั, ะบะพะณะดะฐ ัะตะฝะฐ ะฟัะพัะปะฐ 1% ะฒ ะฟัะพัะธั ะพั ัะตะฝั ะฒัั
ะพะดะฐ ะฒ ัะดะตะปะบั (ะฝะฐะฟัะธะผะตั: ะฟะพะบัะฟะบะฐ 7255 ะธ ะบะพะณะดะฐ ัะตะฝะฐ ะฑัะดะตั 7328 (7255*1,01) ะฒัััะฐะฒะปัะตััั ะฟะปะฐะฒะฐััะธะน ััะพะฟ-ะปะพัั (trailing stop-loss) ะฒ ัะฐะทะผะตัะต 0,4% ะพั ัะตะฝั ะฒั
ะพะดะฐ "29" (7255*0,004).
4.2. ะะฐะบ ัะพะปัะบะพ ะฑัะดะตั ะทะฐะบัััะฐ ัะฒะตัะฐ, ะฝะฐ ะบะพัะพัะพะน ะั ะฒะพัะปะธ ะฒ ัะดะตะปะบั - ะฒั ัะฒะธะดะตัะต ะทะฝะฐัะตะฝะธั ะธะท ะฟ.4.1 ะฝะฐ ัะบัะฐะฝะต ััะดะพะผ ั ะณัะฐัะธะบะพะผ (ะฒั ะผะพะถะตัะต ะธั
ะธัะฟะพะปัะทะพะฒะฐัั ะฑะตะท ัะฐะผะพััะพััะตะปัะฝะพะณะพ ัะฐััะตัะฐ, ะฝะพ ัะพะณะดะฐ ะตััั ัะธัะบ, ััะพ ะตัะปะธ ัะตะฝะฐ ะฝะฐ ัะฒะตัะต ะฒั
ะพะดะฐ ะดะพััะธะณะฝะตั ะทะฝะฐัะตะฝะธั ะธะท ะฟ. 4.1 - ัะพ ัะดะตะปะบะฐ ะทะฐะบัะพะตััั, ะฐ ะฒั ััะพ ัะฒะธะดะธัะต ัะพะปัะบะพ ะฝะฐ ัะปะตะดัััะตะน ัะฒะตัะต, ะบะพะณะดะฐ ะทะฝะฐัะตะฝะธะต ัะตะฝั ะผะพะถะตั ะฑััั ะผะตะฝะตะต ะฒัะณะพะดะฝะพะต)
5. ะัั
ะพะด ะธะท ัะดะตะปะบะธ ะพัััะตััะฒะปัะตััั ะปะธะฑะพ ะฟะพ trailing stop-loss (ัะพะณะดะฐ ะฒั ะผะพะถะตัะต ะฟะตัะตะทะฐะนัะธ ะฒ ัะดะตะปะบั ะฝะฐ ะพัะบัััะธะธ ัะปะตะดัััะตะน ัะฒะตัะธ, ะตัะปะธ ะฝะฐ ัะฒะตัะต, ะฝะฐ ะบะพัะพัะพะน ะฟัะพะธะทะพัะปะพ ะทะฐะบัััะธะต ะฟะพ trailing stop-loss ะฟะพัะฒะธะปะธัั ัะปะฐะถะบะธ ะธะท ะฟ.2), ะปะธะฑะพ ะฟะพ ะฟะพัะฒะปะตะฝะธั ะฟัะพัะธะฒะพะฟะพะปะพะถะฝะพะณะพ ัะปะฐะถะบะฐ, ัะพะณะดะฐ ะฒั
ะพะด ะฒ ัะดะตะปะบั, ะฒ ัะพะพัะฒะตัััะฒะธะธ ั ะฟ. 2 ะธ 3
7. ะัะปะธ ะั ัะฒะธะดะตะปะธ, ััะพ ัะธะณะฝะฐะปั ะพัะปะธัะฐัััั ะพั ะฝะฐะฟะธัะฐะฝะฝะพะณะพ ะฒ ะดะฐะฝะฝะพะน ะธะฝััััะบัะธะธ - ะฟัะพััะพ ะพะฑะฝะพะฒะธัะต ัััะฐะฝะธัั ั Trading View ะฒ ะฑัะฐัะทะตัะต ะธ ะฒัะต ะฒััะฐะฝะตั ะฝะฐ ัะฒะพะธ ะผะตััะฐ.
* ะะฐ ัะฒะตัะต ะทะฐั
ะพะดะฐ ะฒ ัะดะตะปะบั ัะธะณะฝะฐะป "buy/sell" ะผะพะถะตั "ะฟะปะฐะฒะฐัั" ะฟะพ ัะฒะตัะต, ะฝะพ ะตัะปะธ ะั ะฒัะฟะพะปะฝะธะปะธ ะฟ.1-3 ะะฐะผ ะฝะตะพัะตะผ ะฑะตัะฟะพะบะพะธัััั. ะะต ะพะฑัะฐัะฐะนัะต ะฝะฐ ะฝะตะณะพ ะฒะฝะธะผะฐะฝะธะต.
***
ะัะฝะพะฒะฝัะต ะพัะปะธัะธั ะพั ัััะฐัะตะณะธะน ะฝะฐัะธั
ะบะพะปะปะตะณ:
+ ะ ะตะทัะปััะฐัั ะฑัะบัะตััะฐ ะฒ ะฟะปะฐััะพัะผะต Trading View โ ะฟัะพะทัะฐัะฝะฐั ััะฐัะธััะธะบะฐ ะฟะพ ัะดะตะปะบะฐะผ, ะบะพัะพััั ะฒั ะผะพะถะตัะต ะฟะพัะผะพััะตัั ัะฐะผะพััะพััะตะปัะฝะพ
+ ะะพัััะพะตะฝ ะฝะฐ ะฟัะธะฝัะธะฟะฐั
non-repaint basis โ ัะธะณะฝะฐะปั ะฝะต ะธััะตะทะฐัั (ะฟัะธ ะฟัะฐะฒะธะปัะฝะพะผ ัะพะฑะปัะดะตะฝะธะธ ะธะฝััััะบัะธะธ ะฟะพ ะธัะฟะพะปัะทะพะฒะฐะฝะธั)
+ ะะฐะถะดะฐั ัััะฐัะตะณะธั ัะตัะธะธ ะฟะพัััะพะตะฝะฐ ะฝะฐ ัะฒะพะตะผ ัะฝะธะบะฐะปัะฝะพะผ ะฟัะธะฝัะธะฟะต - ะฒั ะผะพะถะตัะต ะฒัะฑัะฐัั ะดะปั ัะตะฑั ะพะฟัะธะผะฐะปัะฝัะน ะฝะฐะฑะพั ัััะฐัะตะณะธะน
+ ะะตัะฟะปะฐัะฝัะน ัะตััะพะฒัะน ะฟะตัะธะพะด
+ ะะพะดะดะตัะถะบะฐ ั ะฒะพะทะผะพะถะฝะพัััั ะพัะณะฐะฝะธะทะฐัะธะธ ัะตะปะตัะพะฝะฝะพะณะพ ะทะฒะพะฝะบะฐ
ะะปั ะฟัะตะดะพััะฐะฒะปะตะฝะธั ะดะพัััะฟะฐ ะบ ะดะฐะฝะฝะพะน ัััะฐัะตะณะธะธ - ะฟะพะถะฐะปัะนััะฐ ะฟะธัะธัะต ะฒ ะปะธัะฝัะต ัะพะพะฑัะตะฝะธั. ะั ะฑััััะพ ั ะะฐะผะธ ัะฒัะถะตะผัั.
Cyatophilum Intraday Breakouts [BACKTEST]Private indicator. Access can be unlocked by purchasing a subscription on my website which link is in my profile signature.
Here is the backtest version of the Triple Screen Strategy
Recap of the strategy:
The goal of this indicator is to be able to automate and backtest the strategy, all while staying on a single chart and without repainting.
Features:
Market Tide MACD configuration
Market Wave choice between 3 oscillator: Elder Force Index, Stochastic and William Percent Range
Automated Long and Short entries alerts
Integrated Trailing Stop Loss system fully configurable with automated exit alerts
Integrated Trailing Take profit system fully configurable with automated exit alerts
Indicator samples
Backtest
Strategy time period can be choosen in the parameters of the indicator.
Be aware that the chart is limited to 10 000 candles of the current timeframe for the backtest calculation.
Default initial capital: 10 000$
Default order size: 100% of equity
Default commission fees: 0.1% per transaction
Backtest results below.
Alerts
Entry Long: Triggers on green long labels.
Take Profit Long: Triggers on the "TAKE PROFIT" green flag if the long target is reached.
Stop Loss Long: Triggers on the "STOP LOSS" or "TSSL" label if the stop loss line has been crossed.
Exit Long: Triggers on either of Take Profit Long or Stop loss long.
Entry Short: Triggers on red short labels.
Take Profit Short: Triggers on the "TAKE PROFIT" green flag if the short target is reached.
Stop Loss Short: Triggers on the "STOP LOSS" or "TSSL" label if the stop loss line has been crossed.
Exit Short: Triggers on either of Take Profit Short or Stop Loss Short.
You can get access to this indicator by purchasing a subscription using the link below.
Thanks for reading!
2-Period RSI strategy (with filter)2-period RSI strategy backtest described in several books of the trader Larry Connors . This strategy uses a 2 periods RSI , one slow arithmetic moving average and one fast arithmetic moving average.
Entry signal:
- RSI 2 value below oversold level (Larry Connors usually sets oversold to be below 5, but other authors prefer to work below 10 due to the higher number of signals).
- Closing above the slow average (200 periods).
- Entry at closing of candle or opening of next candle.
Exit signal:
- Occurs when the candlestick closes above the fast average (the most common fast average is 5 periods, but some traders also suggest the 10 period average).
Entry Filter (modification made by me):
- Applied an RSI2 arithmetic moving average to smooth out oscillations.
- Entered only when RSI2 is below oversold level and RSI2 moving average is below 30.
* NOTE: In the stocks that I evaluate daily the averages of 4 and 6 periods work very well as a filter.
Comments:
This strategy works very well in Daily charts but can be applied in other chart times as well. As this is a strategy to catch market fluctuations, it presents different results with different stocks.
I have been applying this strategy to the stocks of the Brazilian market (BOVESPA) and have enjoyed the result. Every day I evaluate the stocks that are generating entry signals and choose which one to trade based on the stocks with the highest Profit Value.
The RSI 2 averaging filter probably will reduce profit of the backtests because reduces the number of signals, but the Profit Value will usually increase. For me this was a good thing because without the filter, this strategy usually shows more signals than I have capital to allocate.
Before entering a trade I look at which fast average the paper has the highest Profit Value and then I use this average as my output signal for that trade (this change has greatly improved the result of the outputs).
This strategy does not use Stop Loss because normally Stop Loss decreases effectiveness (profit). In any case, the option to apply a percentage Stop Loss if desired is added in the script. As the strategy does not use stop, extra caution with risk management is advisable. I advise not to allocate more than 20% of the trade capital in the same operation.
I'm still studying ways to improve this strategy, but so far this is the best setup I've found. Suggestions are always welcome and we can test to see if they improve the backtest result.
Good luck and good trades.
================================================
Backtest das estratรฉgia do IFR de 2 perรญodos descrita em varios livros do trader Larry Connors . Esta estratรฉgia usa um IFR de 2 perรญodos, uma mรฉdia movel aritmรฉtica lenta e uma mรฉdia movel aritmรฉtica rรกpida.
Sinal de entrada:
- Valor do IFR 2 abaixo do nรญvel de sobrevenda (Larry Connors usualmente define sobrevenda sendo abaixo de 5, mas outros autores preferem trabalhar abaixo de 10 devido ao maior nรบmero de sinais).
- Fechamento acima da mรฉdia lenta (200 perรญodos).
- Realizado a compra no fechamento do candle ou na abertura do candle seguinte.
Sinal de saรญda:
- Ocorre quando o candle fecha acima da mรฉdia rรกpida (a mรฉdia rรกpida mais comum รฉ a de 5 perรญodos, mas alguns traders sugerem tambรฉm a mรฉdia de 10 perรญodos).
Filtro para entrada (modificaรงรฃo feita por mim):
- Aplicado uma mรฉdia mรณvel aritmรฉtica do IFR2 para suavisar as oscilaรงรตes.
- Realizado a entrada apenas quando o IFR2 estรก abaixo do nรญvel de sobrevenda e a mรฉdia mรณvel do IFR2 estรก abaixo de 30.
*OBS: nos ativos que avalio diariamente as mรฉdias de 4 e 6 perรญodos funcionam muito bem como filtro.
Comentรกrios:
Esta estratรฉgia funciona muito bem no tempo grรกfico Diรกrio mas pode ser aplicada tambem em outros tempos grรกficos. Como trata-se de uma estratรฉgia para pegar oscilaรงรตes do mercado, ela apresenta diferentes resultados com diferentes ativos.
Eu venho aplicando esta estratรฉgia nos ativos do mercado brasileiro (BOVESPA) e tenho gostado do resultado. Diariamente eu avalio os papeis que estรฃo gerando entrada e escolho qual irei realizar o trade baseado nos papeis que apresentam maior Profit Value.
O filtro da mรฉdia do IFR 2 reduz o lucro nos backtests pois reduz tambรฉm a quantidade de sinais, mas em compensaรงรฃo o Profit Value irรก normalmente aumentar. Para mim isto foi algo positivo pois, sem o filtro, normalmente esta estratรฉgia apresenta mais sinais do que possuo capital para alocar.
Antes de entrar em um trade eu olho em qual mรฉdia rรกpida o papel apresenta maior Profit Value e entรฃo eu utilizo estรก mรฉdia como meu sinal de saรญda para aquele trade (esta mudanรงa tem melhorado bastante o resultado das saรญdas).
Estรก estratรฉgia nรฃo utiliza Stop Loss pois normalmente o Stop Loss diminui a eficรกcia (lucro). De qualquer maneira, foi acrescentado no script a opรงรฃo de aplicar um Stop Loss percentual caso seja desejado. Como a estratรฉgia nรฃo utiliza stop รฉ aconselhรกvel um cuidado redobrado com o gerenciamento de risco. Eu aconselho nรฃo alocar mais de 20% do capital de trade em uma mesma operaรงรฃo.
Ainda estou estudando formas de melhorar esta estratรฉgia, mas atรฉ o momento estรก รฉ a melhor configuraรงรฃo que encontrei. Sugestรตes sรฃo sempre bem vindas e podemos testar para verificar se melhoram o resultado do backtest.
Boa sorte e bons trades.
Cyatophilum Bands Pro Trader V3 [BACKTEST]An Original Automated Strategy that can be used for Manual or Bot Trading, on any timeframe and market.
>> Presentation <<
How it works
No, these are NOT Bollinger Bands..
The Cyatophilum Bands are an original formula that I created. You will probably never find it anywhere else.
Their behavior is the following:
When they are horizontal it means the trend is going sideways and they represent supports (lower band) and resistances (upper band).
When they are climbing or falling it means the trend is either bullish or bearish and they represent Trend Lines.
The strategy enters Long on a Bull Breakout and enters Short on a Bear Breakout.
The exits are triggered either on a Trend Reversal, a Stop Loss or a Take Profit.
FEATURES
Take Profit System
Stop Loss System
Show Net profit Line
More features here
Finding a profitable configuration is GUARANTEED
0. Choose your symbol and timeframe. Then add the Backtest version to your chart. If at any time you decide to change your timeframe, go back to step 1.
1. Open the strategy tester and look at the buy & hold line.
If it is mostly climbing (last value greater than 0) then it means we are in a bull market. You should then opt or a long only strategy.
If it is mostly dropping (last value lower than 0) then it means we are in a bear market. You should then opt or a short only strategy.
Note : This first step is really important. Trading against the market has very little chances to succeed.
2. Go into the Strategy Input Parameters:
check "Enable Long Results" and uncheck "Enable Short Results" if you are in a long only strategy.
check "Enable Short Results" and uncheck "Enable Long Results" if you are in a short only strategy.
3. Open the Strategy Tester and open the Strategy Properties.
We are going to find the base parameters for the Bands.
The "Bands Lookback" is the main parameter to configure for any strategy. It corresponds to how strong of a support and resistance the bands will behave. The lower the timeframe, the higher lookback you will need. It can move from 10 to 60. For example 60 is a good value for a 3 minute timeframe. Try different values, and look at the "net profit" value in the Overview tab of the Strategy Tester. Keep the Lookback value that shows the best net profit value.
Then play with the "Bands Smoothing" from 2 to 20 and keep the best net profit value.
The "Band Smoothing" is used to reduce noise.
Usually, the default value (10) is what gives the best results.
From this point you should already be able to have a profitable strategy (net profit>0), but we can improve it using the Stop Loss and the Take Profit feature.
4. To activate the Stop Loss feature, click on the "SECURITY" checkbox
You should see horizontal red lines appear.
A Long/short exit alert will be triggered if the price were to cross this line. (A red Xcross will appear)
Choose the Stop Loss percentage.
On top of that, you can enable the feature "Trailing Stop". It will make the red line follow the price, at a speed that you can configure with the "Trailing Speed" parameter.
Now, sometimes a stop is triggered and it was just a fakeout. You can enable "Re-entries after a stop" to avoid missing additional opportunities.
5. To activate the Take Profit feature, click on the "TAKE PROFIT" checkbox
You should see horizontal green lines appear.
A Long/short exit alert will be triggered if the price were to cross this line. (A flag will appear)
Choose the Take Profit percentage.
A low takeprofit will provide a safer strategy but can reduce potential profits.
A higher takeprofit will increase risk but can provide higher potential profits.
6. Money Management
You can configure the backtest according to your own money management.
Let's say you have 10 000 $ as initial capital and want to trade only 5%, set the Order Size to 5% of Equity.
You can increase net profit by increasing the order size but this is at your own risk.
How to create alerts explained here
Sample Uses Cases
Use it literally anywhere
This indicator can be used on any timeframe and market (not only cryptocurrencies).
About the Backtest below
The Net Profit (Gross profit - Gross loss) is calculated with a commission of 0.05% on each order.
No leverage used. This is a long strategy.
Each trade is made with 10 % of equity from an inital capital of 10 000$. The net profit can be bigger by increasing the % of equity but this a trader's rule to minimise the risk.
I am selling access to all my indicators on my website : blockchainfiesta.com
To get a 2 days free trial, just leave a comment , thanks !
Join my Discord for help, configurations, requests, etc. discord.gg
Trend Follower Strategy (Long Only)Adjusted for Bitcoin.
Long position only.
10% of your balance each time.
Tight stop loss.
Reasonable profit-loss ratio.
Positive return every year.
No repaint.
Hophop Strategy DemoThis is the demo of hophop strategy that can only be executed for the pairs and timeframes listed below
"BTCUSD"
"XBTUSD"
"ETHUSD"
"ETHBTC"
"ETHXBT"
"XRPUSD"
"XRPBTC"
"XRPXBT"
"10"
"30"
"45"
"60"
"120"
"240"
I have added dynamic trailing stop loss that can be used as a stop loss when trade is not in profit alternatively you can use it as a take profit points if you don't want to close the trade aggressively
For those who hasnt worked with strategy before
Blue arrow : Long
Red arrow: Short
Purple arrow: Close active trade
if strategy is on a long trade and active trade is in profit, you can use the red line as stop loss or take profit
if strategy is on a long trade and active trade is in loss, you can use the red line as stop loss if active trade hasn't closed already
if strategy is on a short trade and active trade is in profit, you can use the green line as stop loss or take profit
if strategy is on a short trade and active trade is in loss, you can use the green line as stop loss if active trade hasn't closed already
In full version active stop loss/take profit is embedded to strategy and they are configurable according to your risk appetite
Strategy results are for the dates between 01.01.2018 - 01.10.2018 . ( which includes volatile bear market and choppy sideways market )
NGRN MACD-X & RSI v4 STRATEGYMACD-X, RSI & Volume Indicator Strategy - Version 4
Overview
This strategy and it's associated study were modeled after the famous Philakone described algorithms on his now defunct instructional video series.
This indicator allows for full customisation of parameters and interaction between three indicators that allow users to shape their trading methods to their desired goals. This associated strategy also allows users to backtest the study alerts script and find the best settings towards that end.
MACD + RSI + VOLUME - are of the most powerful and widely usded indicators, MACD/Histogram crosses, coupled with RSI & Volume increases/decreases will detects areas of deeply oversold / overbought and buys/sells on the reversal
Features
Full customisation - All parameters are open for customising to allow the trader to build their own strategy and adapt from market to market.
Clean/Simple UI - Facilitating ease of use.
Enable Buying OR Selling, - or have them both active at the same time.
Toggle off and on ALTERNATING Buy and Sell feature (pyramiding) - to allow for consecutive DCA style buys or SCALING out of an entry (partial sell).
Customizable Stop-Loss plot - to enable users to create a STOP-LOSS alert option or other alert(s) based on the plot location.
Toggle Auto Stop-Loss sell option - to enable users choose whether or not to automatically issue a sell signal when close crosses stop loss plot, or choose to toggle off if not profitable.
Customizable Take-Profit plot - to enable users to create a TAKE-PROFIT alert option or other alert(s) based on the plot location.
Study and associated Strategy - to use the TradingView โStrategy Testerโ back-testing features to find the best alert settings for specific coins in bear, bull and sideways markets.
Changes Version 4
Improved STOP-LOSS plot draw.
Added the option to automatically sell when stop-loss cross triggered or have the option disabled, in the event a better profit can be achieved.
Added new TAKE-PROFIT plot (aqua line) to visually guide users where to place the TAKE-PROFIT parameter as well as give users options to create alerts based on the TAKE-PROFIT plot.
Access
Full Access is 0.1 ETH , one time fee for LIFETIME access to the STUDY indicator, STRATEGY and future updates as well as support and SETTINGS for various markets on the Binance Exchange.
Settings
SCREENSHOT LINKS:
BUY SETTINGS: prntscr.com
SELL SETTINGS: prntscr.com
NGRN MACD-X & RSI v3.1 STRATEGYMACD-X, RSI & Volume Indicator Strategy - Version 3.1
Overview
This strategy and it's associated study were modeled after the famous Philakone described algorithms on his now defunct instructional video series.
This indicator allows for full customisation of parameters and interaction between three indicators that allow users to shape their trading methods to their desired goals. This associated strategy also allows users to backtest the study alerts script and find the best settings towards that end.
MACD + RSI + VOLUME - are of the most powerful and widely usded indicators, MACD/Histogram crosses, coupled with RSI & Volume increases/decreases will detects areas of deeply oversold / overbought and buys/sells on the reversal
Features
Full customisation - All parameters are open for customising to allow the trader to build their own strategy and adapt from market to market.
Clean/Simple UI - Facilitating ease of use.
Enable Buying or Selling, - or have them both active at the same time.
Toggle off and on ALTERNATING Buy and Sell feature (pyramiding) - to allow for consecutive dollar cost averaging style buys or SCALING out of an entry (partial sell).
Customizable Stop-Loss plot - to enable users to create a STOP-LOSS alert option or other alert(s) based on the plot location. See settings screenshot.
Study and associated Strategy - to use the TradingView โStrategy Testerโ back-testing features to find the best alert settings for specific coins in bear, bull and sideways markets.
Changes Version 3.1
UI consolidates reduntant script inputs making the script easier to use.
Fixes STOP-LOSS algorithm.
Adds a STOP-LOSS Plot (red line) to enable users to create a STOP-LOSS alert option or other alert(s) based on the plot location. See settings screenshot.
Access
Full Access is 0.1 ETH , one time fee for LIFETIME access to the STUDY indicator, STRATEGY and future updates as well as support and SETTINGS for various markets on the Binance Exchange.
Settings
BUY SETTINGS: prntscr.com
SELL SETTINGS: prntscr.com
STOP-LOSS SETTINGS : prntscr.com
ETHUSD - Bitfinex - 5 minutes - fastThe same principle of the other ETHUSD script for autoview, with more generic signals.
Safety is because of the Stop Loss (with editable values) that turns the hand in the operation.
There are more operations, however, as you can see, losses can increase.
For those who do not have the patience to wait for the signs of the other.
Backtest properties
. Initial: 10k usd
. Currency: USD
. Pyramiding: 0
. Order Size: 100% equity
. Comission: 0.25%
>>>>>>>>>>>>>>>>>>> ADVICE <<<<<<<<<<<<<<<<<<<<<<<<<<<<<
This script was created on the BitFINEX chart in 5 minutes.
It is not recommended for use in another pair, another exchange or another timeframe.
[Autoview][BackTest]Dual MA Ribbons R0.12 by JustUncleLThis is an implementation of a strategy based on two MA Ribbons, a Fast Ribbon and a Slow Ribbon. This strategy can be used on Normal candlestick charts or Renko charts (if you are familiar with them).
The strategy revolves around a pair of scripts: One to generate alerts signals for Autoview and one for Backtesting, to tune your settings.
The risk management options are performed within the script to set SL(StopLoss), TP(TargetProfit), TSL(Trailing Stop Loss) and TTP (Trailing Target Profit). The only requirement for Autoview is to Buy and Sell as directed by this script, no complicated syntax is required.
The Dual Ribbons are designed to capture the inferred behavior of traders and investors by using two groups of averages:
> Traders MA Ribbon: Lower MA and Upper MA (Aqua=Uptrend, Blue=downtrend, Gray=Neutral), with center line Avg MA (Orange dotted line).
> Investors MAs Ribbon: Lower MA and Upper MA (Green=Uptrend, Red=downtrend, Gray=Neutral), with center line Avg MA (Fuchsia dotted line).
> Anchor time frame (0=current). This is the time frame that the MAs are calculated for. This way 60m MA Ribbons can be viewed on a 15 min chart to establish tighter Stop Loss conditions.
Trade Management options:
Option to specify Backtest start and end time.
Trailing Stop, with Activate Level (as % of price) and Trailing Stop (as % of price)
Target Profit Level, (as % of price)
Stop Loss Level, (as % of price)
BUY green triangles and SELL dark red triangles
Trade Order closed colour coded Label:
>> Dark Red = Stop Loss Hit
>> Green = Target Profit Hit
>> Purple = Trailing Stop Hit
>> Orange = Opposite (Sell) Order Close
Trade Management Indication:
Trailing Stop Activate Price = Blue dotted line
Trailing Stop Price = Fuschia solid stepping line
Target Profit Price = Lime '+' line
Stop Loss Price = Red '+' line
Dealing With Renko Charts:
If you choose to use Renko charts, make sure you have enabled the "IS This a RENKO Chart" option, (I have not so far found a way to Detect the type of chart that is running).
If you want non-repainting Renko charts you MUST use TRADITIONAL Renko Bricks. This type of brick is fixed and will not change size.
Also use Renko bricks with WICKS DISABLED. Wicks are not part of Renko, the whole idea of using Renko bricks is not to see the wick noise.
Set you chart Time Frame to the lowest possible one that will build enough bricks to give a reasonable history, start at 1min TimeFrame. Renko bricks are not dependent on time, they represent a movement in price. But the chart candlestick data is used to create the bricks, so lower TF gives more accurate Brick creation.
You want to size your bricks to 2/1000 of the pair price, so for ETHBTC the price is say 0.0805 then your Renko Brick size should be about 2*0.0805/1000 = 0.0002 (round up).
You may find there is some slippage in value, but this can be accounted for in the Backtest by setting your commission a bit higher, for Binance for example I use 0.2%
Special thanks goes to @CryptoRox for providing the initial Risk management Framework in his "How to automate this strategy for free using a chrome extension" example.
HL MovingAvg2Line Cross Dhananjay
Sharing the simple trend following trading strategy, traders can add their own rules in this, to minimise the losses and maximise the profits. Like below.
1. Go long only if price is above 189 days EMA/SAM
2. Exit position when high or low of previous candle is breached in the opposite direction of the trend.
3. Go long only if price is in up trend on higher time frame charts and go short when price is down trend of higher time frame charts.
Stop loss, target and other things can also be decided by the trader.
Idea is to capture the short term trend to trade in FnO or 2/3 days position in underlying instrument.
Traders can optimise the length of the Moving average so that your traded is set for maximum profit giving settings for this strategy. Different instruments responds to different moving averages because of different volatility.
Idea is to go long when price closes above 9 days EMA of Highs and exit and go short whenever price closes below 9 days EMA of lows, exit short when first condition meets after short trade.
I ma not that good with scripts, have many such ideas, interested script writers can get in touch with me so that we can create trading systems which have grater success rate .
8ma34 EURUSD 1h 480tp 950slCrossing 8 sma and 34 sma on the 1h chart (close) of EURUSD.
If sma (8) crossing up sma (34) then open a long on closed bar with +480 pips for the take profit and -950 pips for the stop loss.
If sma (8) crossing down sma (34) then open a short on closed bar with -480 pips for the take profit and +950 pips for the stop loss.
Golden Cross, SMA 200 Moving Average Strategy (by ChartArt)This famous moving average strategy is very easy to follow to decide when to buy (go long) and when to take profit.
The strategy goes long when the faster SMA 50 (the simple moving average of the last 50 bars) crosses above the slower SMA 200. Orders are closed when the SMA 50 crosses below the SMA 200. This simple strategy does not have any other stop loss or take profit money management logic. The strategy does not short and goes long only!
Here is an article explaining the "golden cross" strategy in more detail:
www.stockopedia.com
On the S&P 500 index (symbol "SPX") this strategy worked on the daily chart 81% since price data is available since 1982. And on the DOW Jones Industrial Average (symbol "DOWI") this strategy worked on the daily chart 55% since price data is available since 1916. The low number of trades is in both cases not statistically significant though.
All trading involves high risk; past performance is not necessarily indicative of future results. Hypothetical or simulated performance results have certain inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not actually been executed, the results may have under- or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown.
Daily Close Comparison Strategy (by ChartArt via sirolf2009)Comparing daily close prices as a strategy.
This strategy is equal to the very popular "ANN Strategy" coded by sirolf2009(1) which calculates the percentage difference of the daily close price, but this bar-bone version works completely without his Artificial Neural Network (ANN) part.
Main difference besides stripping out the ANN is that my version uses close prices instead of OHLC4 prices, because they perform better in backtesting. And the default threshold is set to 0 to keep it simple instead of 0.0014 with a larger step value of 0.001 instead of 0.0001. Just like the ANN strategy this strategy goes long if the close of the current day is larger than the close price of the last day. If the inverse logic is true, the strategy goes short (last close larger current close). (2)
This basic strategy does not have any stop loss or take profit money management logic. And I repeat, the credit for the fundamental code idea goes to sirolf2009.
(2) Because the multi-time-frame close of the current day is future data, meaning not available in live-trading (also described as repainting), is the reason why this strategy and the original "ANN Strategy" coded by sirolf2009 perform so excellent in backtesting.
All trading involves high risk; past performance is not necessarily indicative of future results. Hypothetical or simulated performance results have certain inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not actually been executed, the results may have under- or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown.
(1) You can get the original code by sirolf2009 including the ANN as indicator here:
(1) and this is sirolf2009's very popular strategy version of his ANN:
MACD + Stochastic, Double Strategy (by ChartArt)This strategy combines the classic stochastic strategy to buy when the stochastic is oversold with a classic MACD strategy to buy when the MACD histogram value goes above the zero line. Only difference to the classic stochastic is a default setting of 71 for overbought (classic setting 80) and 29 for oversold (classic setting 20).
Therefore this strategy goes long if the MACD histogram goes above zero and the stochastic indicator detects a oversold condition (value below 29). If the inverse logic is true, the strategy goes short (stochastic overbought condition with a value above 71 and the MACD histogram falling below the zero line value).
Please be aware that this pure double strategy using simply two classic indicators does not have any stop loss or take profit money management logic.
All trading involves high risk; past performance is not necessarily indicative of future results. Hypothetical or simulated performance results have certain inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not actually been executed, the results may have under- or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown.
Amiya's Crude Oil Alligator RSI StrategyCrude Oil Futures with the following conditions:
15 minutes candle.
Indicators: William Alligator and RSI- both default setting.
Buy signal to be generated when following conditions are met:
1. Candle closes above Lips.
2. Lips is above teeth
3. Teeth is above jaws
4. RSI is above 55.
Stop loss when either of the following conditions are met:
1. RSI is below 50 or
2. Candle close crosses below Teeth or
3. Lips is lower than teeth.
Take Profit Signal to be generated when the current price is 25 rupees above the entry price.
Sell signal to be generated when following conditions are met:
1. Candle closes below lips.
5. Lips is below teeth
6. Teeth is below jaws
7. RSI is below 45.
Stop loss when either of the following conditions are met:
2. RSI is above 50 or
3. Candle close crosses above Teeth or
4. Lips is higher than teeth.
Take Profit Signal to be generated when the current price is 25 rupees lower than the entry price.
In cases of Buy Signal, Sell Signal, Stop Loss and Take Profit, alerts should be generated and also, alerts should be shown on the chart, mentioning Buy Signal, Sell Signal, Stop Loss and Take Profit.
SY_Quant_AI_YJโ
Improved and Compliant Description (for SY_Quant_AI_YJ)
Strategy Name: SY_Quant_AI_YJ
Type: Visual Trend System + MACD Cycle Filter + Smart Alerts
Status: Invite-Only / Visualization & Alerts Only (No order execution)
๐ Overview:
SY_Quant_AI_YJ is a trend-following visual strategy and alert system designed to help traders detect directional bias, time entries with MACD cross logic, and receive structured JSON-format push alerts. It combines Supertrend, EMA/SMA structures, and MACD cycles to build a coherent and actionable trend view, enhanced by visual stop-loss guidance and profit-taking alerts.
๐ Core Logic:
This script integrates technical components into a multi-step trend confirmation framework:
Supertrend (ATR-based): Serves as the primary trend filter, reducing noise and false breakouts.
EMA-55, SMA-15, SMA-80: Help establish short- to mid-term trend structure.
MACD Cycle Crosses: Configurable for long, medium, or short cycles to adapt to different market phases.
Bar Coloring System: Highlights trend strength (e.g., green for strong bullish, red for bearish), assisting in quick decision-making.
Signal Confirmation: Entry signals (long/short) are confirmed by trend alignment, price structure, and MACD cycle phase.
โ๏ธ Default Settings:
Supertrend: ATR period 15, multiplier 3.1
MACD Mode: Selectable via dropdown (Long, Medium, Short Cycle)
Stop-Loss Logic: Automatically tied to Supertrend value at entry bar
Signal Filtering: Consecutive same-direction entries are blocked to avoid redundancy
No trading simulation: Entries and exits are visual only; alerts replace real trade execution
๐ Usage:
Long/Short signals are displayed using labelup / labeldown markers (โๅๅคโ / โๅ็ฉบโ)
JSON-format alerts are triggered for:
โ
Entry zones (including stop-loss and entry range)
โ
Profit-taking when MACD reverses and position is floating in profit
Stop-loss guide lines plotted dynamically during active positions
Suitable for use on 15-minute to 4-hour charts
โ ๏ธ Disclaimer:
This strategy does not simulate or execute trades. It is designed for monitoring and decision support only. All signals are informational and should be used alongside proper risk management and independent analysis. Past visual or alert performance does not guarantee future results.
๐ Access:
To gain access to this invite-only script, please send a private message or contact us via the designated link. Access is reviewed and granted manually per user request.
Market Open Impulse [LuciTech]Market Open Impulse Strategy
The Market Open Impulse Strategy is designed to capture significant price movements that occur at market open (2:30 PM UK time). This strategy identifies impulsive candles with high volatility and enters trades based on the direction and strength of the initial market reaction.
How It Works:
The strategy activates exclusively at 2:30 PM UK time during market open sessions. It uses ATR-based volatility filtering to identify impulsive candles that exceed a configurable multiplier (default 1.5x ATR). Long entries are triggered when an impulsive candle closes above its midpoint and above the opening price, while short entries occur when an impulsive candle closes below its midpoint and below the opening price.
Risk management is handled through precise stop loss placement at the opposite extreme of the impulse candle (high for short positions, low for long positions). Take profit levels are calculated using a configurable risk-reward ratio with a default setting of 3:1. Position sizing is automatically calculated based on the percentage risk per trade, and an optional breakeven feature can move the stop loss to the entry price at specified profit levels.
The strategy incorporates time-based filtering to ensure trades only occur during the specified market open window. Visual indicators highlight qualifying impulsive candles and plot all entry and exit levels for clear trade management. The system offers flexible risk management with customizable risk percentage, risk-reward ratios, and breakeven settings, along with multiple stop loss calculation methods including both ATR-based and candle-based options.
Key Parameters:
Market open timing is fully configurable through hour and minute settings for strategy activation. The impulse ATR multiple sets the minimum volatility threshold required for trade qualification, with visual highlighting available for qualifying setups. Risk management parameters include the percentage of account equity to risk per trade, target profit multiples relative to initial risk, and the profit level threshold for breakeven stop loss adjustment. Users can choose between ATR-based or candle-based stop loss calculation methods and adjust technical parameters for volatility calculation including ATR length and smoothing methods.
Applications:
This strategy is particularly effective for trading market open volatility and momentum, capturing institutional order flow during key timing windows, executing short-term swing trades on significant price impulses, and trading markets with predictable opening patterns and consistent volatility characteristics.
Backtest [OptAlgo]This backtest script is designed to convert ideas or indicators into backtest results. The script creates buy/sell signals by comparing price sources against fixed values or other imported plots using many comparison methods. It has many features including multiple exit systems: TP/SL, custom plot-based stops and more. It supports full trading automation through webhook alerts with live signal processing.
๐ข Signal Creation System
โโโโโ Values Group : Compare price sources against fixed numerical values
โโโโโ Plots Group : Compare two different price sources/indicators against each other
โโโโโ Flexible Comparisons : 15+ comparison methods (equal, crossover, rising...)
โโโโโ Signal Types : Long, Short, Close All, Block signals, and combination signals
โโโโโ Merge Rules : Minimum condition requirements for signal activation
๐ Advanced Signal Logic
โโโโโ Counter Signals : Choose between reversing positions or closing them
โโโโโ Signal Inversion : Flip all buy/sell signals with one toggle
โโโโโ External Signal Import : Import coded signals (1=Long, -1=Short, 0=Close)
โโโโโ Day Blocker : Enable/disable trading on specific weekdays
โโโโโ Session Control : Limit trading to specific market sessions
โ๏ธ Strategy Settings
โโโโโ Position Sides : All Ways, Long Only, or Short Only modes
โโโโโ Signal Control : Individual enable/disable for long and short signals
โโโโโ Counter Signal Mode : Reverse Open Position vs Close Open Position
โโโโโ Signal Reversal : Global signal inversion capability
๐ฐ Risk Management (Limiter Settings)
โโโโโ Leverage Control : Leverage with liquidation warnings
โโโโโ Drawdown Limit : Auto-halt strategy at specified drawdown percentage
โโโโโ Tradable Ratio : Use portion of available balance (0.01-1.0)
โโโโโ Contract Limit : Cap maximum contract size regardless of balance
๐ฏ TP/SL System
โโโโโ Fixed TP/SL : Set percentage-based take profit and stop loss
โโโโโ Custom Plot Stops : Use any indicator/plot as dynamic stop loss
โโโโโ ATR-Based Exits : Volatility-adjusted TP/SL using Average True Range
โโโโโ Realistic Protection : Prevents unrealistic TP/SL prices in live trading
โโโโโ Stop Modes : Instant (Sudden) vs Candle Close execution
โโโโโ ATR Stop Loss : Override fixed SL with volatility-based calculations
โโโโโ ATR Take Profit : Dynamic TP based on market volatility
โโโโโ Trailing Options : Safe, Normal, or Aggressive trailing methods
โโโโโ Calculation Modes : Normal, Volume-weighted, or Limited (with max %) options
โโโโโ Volume Integration : ATR levels adjust based on volume influx
๐ค Automation & Alerts
โโโโโ Webhook Integration : Send JSON alerts for automated execution
โโโโโ Live Signals : Real-time signal processing (every tick vs bar close)
โโโโโ Strategy Key : Unique identifier for automated systems
โโโโโ Early Entry : Send alerts X seconds before candle close
โโโโโ Fast Execution : Prevent signal lag in automated trading
๐ Development Tools
โโโโโ Alert Plotting : Visualize signals directly on chart (disable for live alerts)
โโโโโ Professional Mode : Remove UI controls for faster calculation
โโโโโ Debug : Metrics are plotted in data window.
๐ Key Advantages
โโโโโ Multi-Condition Logic : Combine multiple indicators with flexible rules
โโโโโ Risk-First Design : Built-in drawdown and leverage protection
โโโโโ Automation Ready : Full webhook and alert system integration
โ ๏ธ Important Warnings
โโโโโ High leverage combined with high SL may adjust to liquidation price
โโโโโ Use consistent leverage across all strategies on same trading isolated margin pair
โโโโโ Live signals require "Calculate on every tick" enabled in settings
โโโโโ Disable alert plotting when creating actual alerts to prevent latency
