Pagoda of scalping, excessivetradingThis is a system I developed initially for scalping. Please be careful because trading only by this system blindly can cause total losses!
This system uses a risky technique by taking profits very fast.
It is build around moving averages and japanese candlesticks close prices cross the moving averages. The stop loss in this example is the reversal of the moving average crossing the prices.
You can feel free to play with parameters and let me know what other good stuff you did find out!
Peace!
Cari dalam skrip untuk "stop loss"
Simple and efficient swing RSI systemHello there,
I am glad to bring you another simple and efficient algorithm.
Its made purely from RSI which can be used directly or inversed. Its suited for swing trading 15 min chart or more minimum.
Can be adapted to all types of financial markets.
Rules for entry are easy : First we have the stop loss and take profits levels. Based on SL , we have the risk % of our equity, where the minimum lot we can trade its setted on 0.1 lots , can be modified tho.
For entries, we have the overbought and oversold levels.
Whenever we cross one of them we enter the trade . We close the trade whenever we reach sl/tp or inverse crosses.
Although its has a low win rate, its a very good system to catch big trends, so there you can recover all the small losses that you had in a untrend market .
Aswell it requires a lot of patience, since a position can be kept for weeks, even months.
Hope you enjoyed it .
renko candle strategy(lirshah)Renko candles strategy has been written based on renko box plots.
the strategy plots renko boxes and levels for trading,
the buy signals trigger when renko is on uptrend and hit the lower box border and similar scenario for sell signal.
the standard parameter are as bellow:
box size: 3.5$
take profit: 1000 pip
stop loss: 200 pip
the below overview is results of strategy on 1sec chart(normal candle) of Nasdaq index, with 1 contract and 0.5 $ commission per order during New york session.
in order to access scripts contact me directly.
MARUSIA TRADING STRATEGIES [VCRYPTO]Description of MARUSIA TRADING STRATEGIES
«MARUSIA» 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 indicator’s and bar’s 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 – 1H, exchange – 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 – 1H, exchange – 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 – 3H, exchange – 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 strategy’s 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 hasn’t disappeared. Green – for Buy, orange – 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.
• The Buy/Sell signal label may move up or down on the bar with price’s movement. Don’t worry it doesn’t mean that your entry is changing.
• The lines on the chart are weekly price levels – the price levels of the previous week –
Green – open, Red – close, Blue – high, Brown – low, Black – 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.
____________________________________________________________________________
Описание к стратегии "MARUSIA TRADING STRATEGIES "
Сборник нескольких стратегий серии "Marusia"
Выбор конкретной стратегии осуществляется из удобного меню
Основа наших стратегий - совмещение индикаторного анализа и анализа уровня закрытия свечей на разных временных интервалах (анализ уровней).
+++ BTC 1H 90% Success +++ (Beginner)
Стратегия работает на инструменте Bitcoin (BTC) по котировкам биржи BITMEX на 1 часовом таймфрейме (1H).
Основное преимущество данной стратегии - супервысокая успешность сделок (более 90% на момент публикации).
Данная стратегия представляет собой гибрид среднесрочных стратегий по частоте сделок (с 2019 по 12.04.2020 - 204 сделки, в среднем одна сделка раз в 2 дня) и элемент высокочастотных (скальп) стратегий - необходимо выставление использование скользящего стоп-приказа (trailing stop-loss), расчетные данные по которому появляются прямо на экране при открытии сделки.
Статистика по данной стратегии, подтвержденная бэктестом в Trading View
С 2019 года до момента публикации стратегии бектест показывает следующие данные:
+ 303% чистой прибыли
+ 90% успешных сделок
+ 6% макс. единовременная просадка
+++ BTC 1H Mega Scalper +++ (Intermediate)
Стратегия работает на инструменте Bitcoin (BTC) по котировкам биржи BITMEX на 1 часовом таймфрейме (1H)
Основное преимущество данной стратегии - высокочастотные сделки с хорошей вероятностью успеха.
С 2019 года до момента публикации стратегии бектест Trading View показывает следующие данные:
+ 792% чистой прибыли
+ 64% успешных сделок
+ 5% макс. единовременная просадка
+++ BTC 3H Mega Scalper +++ (Expert)
Стратегия работает на инструменте Bitcoin (BTC) по котировкам биржи BITMEX на 3 часовом таймфрейме (3H)
Основное преимущество данной стратегии - высокочастотные сделки с хорошей вероятностью успеха
С 2019 года до момента публикации стратегии бектест Trading View показывает следующие данные:
+ 1637% чистой прибыли
+ 79% успешных сделок
+ 4,4% макс. единовременная просадка
***
Инструкиция по использованию:
1. Вы открываете график с включенной стратегией. Обратите внимание на инструмент и таймфрейм стратегии.
2. Ожидаете появления на графике зеленого (снизу) или оранжевого (сверху) флажка.
Для получения уведомления появления значков (сигналов) используйте АЛЕРТНЫЙ ИНДИКАТОР для данной стратегии.
3. На открытии следующей свечи входите в сделку, если флажек из п.2 остался и не пропал (зеленый флажек - покупка, оранжевый - продажа)
4. Выставление trailing stop-loss
4.1 Trailing stop-loss выставляется, когда цена прошла 1% в профит от цены выхода в сделку (например: покупка 7255 и когда цена будет 7328 (7255*1,01) выставляется плавающий стоп-лосс (trailing stop-loss) в размере 0,4% от цены входа "29" (7255*0,004).
4.2. Как только будет закрыта свеча, на которой Вы вошли в сделку - вы увидете значения из п.4.1 на экране рядом с графиком (вы можете их использовать без самостоятельного расчета, но тогда есть риск, что если цена на свече входа достигнет значения из п. 4.1 - то сделка закроется, а вы это увидите только на следующей свече, когда значение цены может быть менее выгодное)
5. Выход из сделки осуществляется либо по trailing stop-loss (тогда вы можете перезайти в сделку на открытии следующей свечи, если на свече, на которой произошло закрытие по trailing stop-loss появились флажки из п.2), либо по появлению противоположного флажка, тогда вход в сделку, в соответствии с п. 2 и 3
7. Если Вы увидели, что сигналы отличаются от написанного в данной инструкции - просто обновите страницу с Trading View в браузере и все встанет на свои места.
* На свече захода в сделку сигнал "buy/sell" может "плавать" по свече, но если Вы выполнили п.1-3 Вам неочем беспокоиться. Не обращайте на него внимание.
***
Основные отличия от стратегий наших коллег:
+ Результаты бэктеста в платформе Trading View – прозрачная статистика по сделкам, которую вы можете посмотреть самостоятельно
+ Построен на принципах non-repaint basis – сигналы не исчезают (при правильном соблюдении инструкции по использованию)
+ Каждая стратегия серии построена на своем уникальном принципе - вы можете выбрать для себя оптимальный набор стратегий
+ Бесплатный тестовый период
+ Поддержка с возможностью организации телефонного звонка
Для предоставления доступа к данной стратегии - пожалуйста пишите в личные сообщения. Мы быстро с Вами свяжемся.
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 estratégia do IFR de 2 períodos descrita em varios livros do trader Larry Connors . Esta estratégia usa um IFR de 2 períodos, uma média movel aritmética lenta e uma média movel aritmética rápida.
Sinal de entrada:
- Valor do IFR 2 abaixo do nível de sobrevenda (Larry Connors usualmente define sobrevenda sendo abaixo de 5, mas outros autores preferem trabalhar abaixo de 10 devido ao maior número de sinais).
- Fechamento acima da média lenta (200 períodos).
- Realizado a compra no fechamento do candle ou na abertura do candle seguinte.
Sinal de saída:
- Ocorre quando o candle fecha acima da média rápida (a média rápida mais comum é a de 5 períodos, mas alguns traders sugerem também a média de 10 períodos).
Filtro para entrada (modificação feita por mim):
- Aplicado uma média móvel aritmética do IFR2 para suavisar as oscilações.
- Realizado a entrada apenas quando o IFR2 está abaixo do nível de sobrevenda e a média móvel do IFR2 está abaixo de 30.
*OBS: nos ativos que avalio diariamente as médias de 4 e 6 períodos funcionam muito bem como filtro.
Comentários:
Esta estratégia funciona muito bem no tempo gráfico Diário mas pode ser aplicada tambem em outros tempos gráficos. Como trata-se de uma estratégia para pegar oscilações do mercado, ela apresenta diferentes resultados com diferentes ativos.
Eu venho aplicando esta estratégia nos ativos do mercado brasileiro (BOVESPA) e tenho gostado do resultado. Diariamente eu avalio os papeis que estão gerando entrada e escolho qual irei realizar o trade baseado nos papeis que apresentam maior Profit Value.
O filtro da média do IFR 2 reduz o lucro nos backtests pois reduz também a quantidade de sinais, mas em compensação o Profit Value irá normalmente aumentar. Para mim isto foi algo positivo pois, sem o filtro, normalmente esta estratégia apresenta mais sinais do que possuo capital para alocar.
Antes de entrar em um trade eu olho em qual média rápida o papel apresenta maior Profit Value e então eu utilizo está média como meu sinal de saída para aquele trade (esta mudança tem melhorado bastante o resultado das saídas).
Está estratégia não utiliza Stop Loss pois normalmente o Stop Loss diminui a eficácia (lucro). De qualquer maneira, foi acrescentado no script a opção de aplicar um Stop Loss percentual caso seja desejado. Como a estratégia não utiliza stop é aconselhável um cuidado redobrado com o gerenciamento de risco. Eu aconselho não alocar mais de 20% do capital de trade em uma mesma operação.
Ainda estou estudando formas de melhorar esta estratégia, mas até o momento está é a melhor configuração que encontrei. Sugestões são 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 )
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.
OPTIMISED FOR 15Min on certain FOREX Ichimoku & Friends Strategy
Timeframe
15-Minute Chart
Entry Rules
Required Conditions ALL Must Be True
For LONG Entries:
Trend: Price is above EMA 200 (purple line)
Ichimoku: Tenkan (blue) is above Kijun (red)
Price Position: Close is above BOTH Tenkan AND Kijun
ADX: Must be above 22 (shows strong trend)
RSI: Between 50 and 70 (has momentum, not overbought)
Cooldown: At least 12 bars since last trade closed
For SHORT Entries:
Trend: Price is below EMA 200 (purple line)
Ichimoku: Tenkan (blue) is below Kijun (red)
Price Position: Close is below BOTH Tenkan AND Kijun
ADX: Must be above 22 (shows strong trend)
RSI: Between 30 and 50 (has momentum, not oversold)
Cooldown: At least 12 bars since last trade closed
Entry Signals Any ONE of These
Signal Type 1: Cross (C)
Long: Tenkan crosses above Kijun AND price closes above Kijun
Short: Tenkan crosses below Kijun AND price closes below Kijun
Wait 1 bar to confirm the cross holds
Signal Type 2: Bounce (B) - Most Reliable
Long: Price touches/dips to Kijun, then bounces up with strong bullish candle
Short: Price touches/spikes to Kijun, then rejects down with strong bearish candle
Must occur within last 3 bars
Signal Type 3: Breakout (K)
Long: Price breaks above Kijun with strong bullish momentum candle
Short: Price breaks below Kijun with strong bearish momentum candle
Candle body must be at least 40% of ATR
Risk Management
Stop Loss Placement
Placed at the lower of:
Recent swing low (last 5 bars) for longs
Kijun minus 0.5 ATR for longs
Minimum distance: 2.5 x ATR
FOR SHORTS: Mirror logic using swing highs
Take Profit
2x the stop loss distance
Example: If stop is 20 pips away, target is 40 pips
Position Size
100% of equity per trade (as per current settings)
Adjust based on your risk tolerance
Trade Management
When to Enter
Only when ALL entry conditions are met
Check that background is shaded (green for long, red for short)
Small letter markers (C, B, K) show which signal type triggered
When to Exit
Take Profit hit (2x R:R ratio)
Stop Loss hit (smart placement protects capital)
Strategy closes position (conditions reverse)
Cooldown Period
Wait 12 bars (3 hours on 15m chart) after any trade closes
Prevents revenge trading and overtrading
Visual Indicators on Chart
Lines
Blue (Tenkan): 9-period conversion line
Red (Kijun): 26-period base line
Purple (EMA 200): Long-term trend line
Orange (EMA 50): Not used in current rules
Signals
Large Green Triangle Up: LONG entry
Large Red Triangle Down: SHORT entry
Small Letters (C/B/K): Which signal type triggered
Background Colors
Light Green: Conditions favorable for LONG (ADX good, uptrend)
Light Red: Conditions favorable for SHORT (ADX good, downtrend)
No Color: Not safe to trade
Top Right Display
ADX Value: Green = above threshold, Red = below
Win Rate: Shows current performance
Quick Checklist Before Entry
LONG Trade Checklist:
Price above purple EMA 200
Blue line above red line
Price above both blue AND red lines
ADX number is green (above 22)
RSI between 50-70
Background is light green
At least 12 bars since last trade
Signal marker appeared (triangle or letter)
SHORT Trade Checklist:
Price below purple EMA 200
Blue line below red line
Price below both blue AND red lines
ADX number is green (above 22)
RSI between 30-50
Background is light red
At least 12 bars since last trade
Signal marker appeared (triangle or letter)
Tips for Success
Best Signal Type: Bounce (B) signals typically have highest win rate
ADX is Critical: Do not trade when ADX is red - wait for trends
Be Patient: 2-3 trades per day on 15m is normal and healthy
Trust the System: Do not second-guess the signals
Respect Cooldown: Waiting prevents emotional trading
Monitor Win Rate: Keep above 50% for profitability with 2:1 R:R
Adjustable Settings
If you want to modify strategy performance:
For Higher Win Rate Fewer Trades:
Increase "Minimum ADX" to 25
Increase "Cooldown Bars" to 15
Turn OFF breakout signals
For More Trades Slightly Lower Win Rate:
Decrease "Minimum ADX" to 20
Decrease "Cooldown Bars" to 8
Keep all signal types enabled
For Better Risk:Reward:
Increase "Risk:Reward Ratio" to 2.5 or 3.0
This means bigger targets, letting winners run more
What NOT to Do
Do not trade without ADX confirmation (when number is red)
Do not enter during cooldown period
Do not trade when price is chopping around EMA 200
Do not override the stop loss - let it work
Do not take signals when Tenkan and Kijun are flat/parallel
Do not force trades - wait for all conditions
Do not trade if you see no background shading
Notes
Current Performance: 67% win rate (2/3 trades)
Timeframe: 15-minute (3 hours = 12 bars cooldown)
Profit Factor Target: Above 1.5 is excellent
Strategy works best during: European and US trading sessions when volatility is higher
DYOR NFA
ORB Strategy: Extensions & Custom SL (EOD & Live Lines)That's a great request. Since you've now built a complex Pine Script Strategy with several user-configurable risk management, targeting, and exit options, the description should focus on the systematic rules used for entering, managing, and exiting trades.
Here is a clear, written description of the trading strategy you have built:
Trading Strategy Description: ORB Extension Breakout with Custom Stop, Live Tracking, and EOD Exit
This strategy is a systematic, momentum-based system designed for intraday trading. It operates on the principle of an Opening Range Breakout (ORB), utilizing the initial market consolidation to project high-probability targets, while offering multiple methods for managing risk and enforcing a mandatory end-of-day closure.
1. Market Identification (The Opening Range)
The strategy first defines the market's initial boundaries and volatility:
Session Window: The strategy calculates the Opening Range (OR) over a user-defined time period (default: 9:30 AM to 10:30 AM New York Time).
ORB Levels: Two key price levels are established and locked once the time window closes:
Wick High/Low: The absolute highest and lowest prices of the session. These serve as the entry trigger lines.
Body High/Low (Shaded Range): The highest and lowest open/close prices of the session. The height of this range is used as the basis for calculating all targets and stops.
2. Entry Rule (The Breakout)
The strategy waits passively for a breakout that confirms direction and ensures the move has not yet reached its immediate target.
Trigger Condition: A trade is signaled when a candle closes either:
Above the Wick High (for a Long entry).
Below the Wick Low (for a Short entry).
Constraint (Fresh Breakout): The entry is invalidated if the breakout candle's price action (High for Long, Low for Short) has already touched or surpassed the projected Take Profit (0.5 Extension) level before the candle closes.
Execution: The entry is a Market Order executed on the candle that meets the trigger conditions, subject to a user-defined Entry Delay (default 0 bars).
Direction Control: The user can select to trade Long Only, Short Only, or Both.
3. Exit and Risk Management
All trades are placed with simultaneous Take Profit and Stop Loss orders (a bracket order) upon entry.
A. Take Profit (TP)
The Take Profit is set at the 0.5 Extension of the Shaded Range (Body Range).
Calculation: The distance from the Body High/Low to the TP level is exactly 50% of the total height of the Shaded Range.
B. Stop Loss (SL)
The Stop Loss is dynamically calculated based on a user-selected method for risk control:
Range 0.5 (Body Range): The SL is placed an equal distance (0.5 times the Body Range height) outside the opposite side of the Body Range.
ATR Multiple: The Stop Loss distance is calculated as a user-defined Multiplier times the Average True Range (ATR).
Recent Swing Low/High: The Stop Loss is placed based on a structural low (for Long) or high (for Short) within a user-defined lookback period.
C. End-of-Day (EOD) Exit
Any open position is forced closed at the market price if it is still open when the user-defined closing time (default: 16:00 HHMM) is reached. This prevents carrying intraday risk overnight.
4. Visualization
The strategy includes comprehensive visual cues for analysis:
ORB Drawing: Displays the Wick High/Low and the shaded Body Range.
Breakout Signals: Highlights the specific bar where the validated entry signal occurs.
Closed Trades: Draws persistent lines for the Entry and Exit prices of the last few closed trades.
Live Open Trades: Draws persistent lines for the current Entry Price, active Take Profit Level, and active Stop Loss Level for any open position.
Trend Following $ZEC - Multi-Timeframe Structure Filter + Revers# Trend Following CRYPTOCAP:ZEC - Strategy Guide
## 📊 Strategy Overview
Trend Following CRYPTOCAP:ZEC is an enhanced Turtle Trading system designed for cryptocurrency spot trading, combining Donchian Channel breakouts, multi-timeframe structure filtering, and ATR-based dynamic risk management for both long and short positions.
---
## 🎯 Core Features
1. Multi-Timeframe Structure Filtering
- Uses Swing High/Low to identify market structure
- Customizable structure timeframe (default: 1 minute)
- Only enters trades in the direction of the trend, avoiding counter-trend positions
2. Reverse Signal Exit
- No fixed stop-loss or fixed-period exits
- Exits only when a reverse entry signal triggers
- Maximizes trend profits, reduces premature exits
3. ATR Dynamic Pyramiding
- Adds positions when price moves 0.5 ATR in favorable direction
- Supports up to 2 units maximum (adjustable)
- Pyramid scaling to enhance profitability
4. Complete Risk Management
- Fixed position size (5000 USD per unit)
- Commission fee 0.06% (Binance spot rate)
- Initial capital 10,000 USD
---
## 📈 Trading Logic
Entry Conditions
✅ Long Entry:
- Close price breaks above 20-period high
- Structure trend is bullish (price breaks above Swing High)
✅ Short Entry:
- Close price breaks below 20-period low
- Structure trend is bearish (price breaks below Swing Low)
Add Position Conditions
- Long: Price rises ≥ 0.5 ATR
- Short: Price falls ≥ 0.5 ATR
- Maximum 2 units including initial entry
Exit Conditions
- Long Exit: When short entry signal triggers (price breaks 20-period low + structure turns bearish)
- Short Exit: When long entry signal triggers (price breaks 20-period high + structure turns bullish)
---
## ⚙️ Parameter Settings
Channel Settings
- Entry Channel Period: 20 (Donchian Channel breakout period)
- Exit Channel Period: 10 (reserved parameter, actually uses reverse signal exit)
ATR Settings
- ATR Period: 20
- Stop Loss ATR Multiplier: 2.0 (reserved parameter)
- Add Position ATR Multiplier: 0.5
Structure Filter
- Swing Length: 160 (Swing High/Low calculation period)
- Structure Timeframe: 1 minute (can change to 5/15/60, etc.)
Position Management
- Maximum Units: 2 (including initial entry)
- Capital Per Unit: 5000 USD
---
## 🎨 Visualization Features
Background Colors
- Light Green: Bullish structure
- Light Red: Bearish structure
- Dark Green: Long entry
- Dark Red: Short entry
Optional Display (Default: OFF)
- Entry/exit channel lines
- Structure high/low lines
- ATR stop-loss line
- Next add position indicator
- Entry/exit labels
---
## 📱 Alert Message Format
Strategy sends notifications on entry/exit with the following format:
- Entry: `1m Long EP:428.26`
- Add Position: `15m Add Long 2/2 EP:429.50`
- Exit: `1m Close Long Reverse Signal`
Where:
- `1m`/`15m` = Current chart timeframe
- `EP` = Entry Price
---
## 💰 Backtest Settings
Capital Allocation
- Initial Capital: 10,000 USD
- Per Entry: 5,000 USD (split into 2 entries)
- Leverage: 0x (spot trading)
Trading Costs
- Commission: 0.06% (Binance spot VIP0)
- Slippage: 0
---
## 🎯 Use Cases
✅ Best Scenarios
- Trending markets
- Moderate volatility assets
- 1-minute to 4-hour timeframes
⚠️ Not Suitable For
- Highly volatile choppy markets
- Low liquidity small-cap coins
- Extreme market conditions (black swan events)
---
## 📊 Usage Recommendations
Timeframe Suggestions
| Timeframe | Trading Style | Suggested Parameter Adjustment |
|-----------|--------------|-------------------------------|
| 1-5 min | Scalping | Swing Length 100-160 |
| 15-30 min | Short-term | Swing Length 50-100 |
| 1-4 hour | Swing Trading | Swing Length 20-50 |
Optimization Tips
1. Adjust swing length based on backtest results
2. Different coins may require different parameters
3. Recommend backtesting on 1-minute chart first before live trading
4. Enable labels to observe entry/exit points
---
## ⚠️ Risk Disclaimer
1. Past Performance Does Not Guarantee Future Results
- Backtest data is for reference only
- Live trading may be affected by slippage, delays, etc.
2. Market Condition Changes
- Strategy performs better in trending markets
- May experience frequent stops in ranging markets
3. Capital Management
- Do not invest more than you can afford to lose
- Recommend setting total capital stop-loss threshold
4. Commission Impact
- Frequent trading accumulates commission fees
- Recommend using exchange discounts (BNB fee reduction, etc.)
---
## 🔧 Troubleshooting
Q: No entry signals?
A: Check if structure filter is too strict, adjust swing length or timeframe
Q: Too many labels displayed?
A: Turn off "Show Labels" option in settings
Q: Poor backtest performance?
A:
1. Check if the coin is suitable for trend-following strategies
2. Adjust parameters (swing length, channel period)
3. Try different timeframes
Q: How to set alerts?
A:
1. Click "Alert" in top-right corner of chart
2. Condition: Select "Strategy - Trend Following CRYPTOCAP:ZEC "
3. Choose "Order filled"
4. Set notification method (Webhook/Email/App)
---
## 📞 Contact Information
Strategy Name: Trend Following CRYPTOCAP:ZEC
Version: v1.0
Pine Script Version: v6
Last Updated: December 2025
---
## 📄 Copyright Notice
This strategy is for educational and research purposes only.
All risks of using this strategy for live trading are borne by the user.
Commercial use without authorization is prohibited.
---
## 🎓 Learning Resources
To understand the strategy principles in depth, recommended reading:
- "The Complete TurtleTrader" - Curtis Faith
- "Trend Following" - Michael Covel
- TradingView Pine Script Official Documentation
---
Happy Trading! Remember to manage your risk 📈
Elliott Wave Full Fractal System v2.0Elliott Wave Full Fractal System v2.0 – Q.C. FINAL (Guaranteed R/R)
Elliott Wave Full Fractal System is a multi-timeframe wave engine that automatically labels Elliott impulses and ABC corrections, then builds a rule-based, ATR-driven risk/reward framework around the “W3–W4–W5” leg.
“Guaranteed R/R” here means every order is placed with a predefined stop-loss and take-profit that respect a minimum Reward:Risk ratio – it does not mean guaranteed profits.
Core Idea
This strategy turns a full fractal Elliott Wave labelling engine into a systematic trading model.
It scans fractal pivots on three wave degrees (Primary, Intermediate, Minor) to detect 5-wave impulses and ABC corrections.
A separate “Trading Degree” pivot stream, filtered by a 200-EMA trend filter and ATR-based dynamic pivots, is then used to find W4 pullback entries with a minimum, user-defined Reward:Risk ratio.
Default Properties & Risk Assumptions
The backtest uses realistic but conservative defaults:
// Default properties used for backtesting
strategy(
"Elliott Wave Full Fractal System - Q.C. FINAL (Guaranteed R/R)",
overlay = true,
initial_capital = 10000, // realistic account size
default_qty_type = strategy.percent_of_equity,
default_qty_value = 1, // 1% risk per trade
commission_type = strategy.commission.cash_per_contract,
commission_value = 0.005, // example stock commission
slippage = 0 // see notes below
)
Account size: 10,000 (can be changed to match your own account).
Position sizing: 1% of equity per trade to keep risk per idea sustainable and aligned with TradingView’s recommendations.
Commission: 0.005 cash per contract/share as a realistic example for stock trading.
Slippage: set to 0 in code for clarity of “pure logic” backtesting. Real-life trading will experience slippage, so users should adjust this according to their market and broker.
Always re-run the backtest after changing any of these values, and avoid using high risk fractions (5–10%+) as that is rarely sustainable.
1. Full Fractal Wave Engine
The script builds and maintains four pivot streams using ATR-adaptive fractals:
Primary Degree (Macro Trend):
Captures the large swings that define the major trend. Labels ①–⑤ and ⒶⒷⒸ using blue “Circle” labels and thicker lines.
Intermediate Degree (Trading Degree):
Captures the medium swings (swing-trading horizon). Uses teal labels ( (1)…(5), (A)(B)(C) ).
Minor Degree (Micro Structure):
Tracks short-term swings inside the larger waves. Uses red roman numerals (i…v, a b c).
ABC Corrections (Optional):
When enabled, the engine tries to detect standard A–B–C corrective structures that follow a completed 5-wave impulse and plots them with dashed lines.
Each degree uses a dynamic pivot lookback that expands when ATR is above its EMA, so the system naturally requires “stronger” pivots in volatile environments and reacts faster in quiet conditions.
2. Theory Rules & Strict Mode
Normal Mode: More permissive detection. Designed to show more wave structures for educational / exploratory use.
Strict Mode: Enforces key Elliott constraints:
Wave 3 not shorter than waves 1 and 5.
No invalid W4 overlap with W1 (for standard impulses).
ABC Logic: After a confirmed bullish impulse, the script expects a down-up-down corrective pattern (A,B,C). After a bearish impulse, it looks for up-down-up.
3. Trend Filter & Pivots
EMA Trend Filter: A configurable EMA (default 200) is used as a non-wave trend filter.
Price above EMA → Only long setups are considered.
Price below EMA → Only short setups are considered.
ATR-Adaptive Pivots: The pivot engine scales its left/right bars based on current ATR vs ATR EMA, making waves and trading pivots more robust in volatile regimes.
4. Dynamic Risk Management (Guaranteed R/R Engine)
The trading engine is designed around risk, not just pattern recognition:
ATR-Based Stop:
Stop-loss is placed at:
Entry ± ATR × Multiplier (user-configurable, default 2.0).
This anchors risk to current volatility.
Minimum Reward:Risk Ratio:
For each setup, the script:
Computes the distance from entry to stop (risk).
Projects a take-profit target at risk × min_rr_ratio away from entry.
Only accepts the setup if risk is positive and the required R:R ratio is achievable.
Result: Every order is created with both TP and SL at a predefined distance, so each trade starts with a known, minimum Reward:Risk profile by design.
“Guaranteed R/R” refers exclusively to this order placement logic (TP/SL geometry), not to win-rate or profitability.
5. Trading Logic – W3–W4–W5 Pattern
The Trading pivot stream (separate from visual wave degrees) looks for a simple but powerful pattern:
Bullish structure:
Sequence of pivots forms a higher-high / higher-low pattern.
Price is above the EMA trend filter.
A strong “W3” leg is confirmed with structure rules (optionally stricter in Strict mode).
Entry (Long – W4 Pullback):
The “height” of W3 is measured.
Entry is placed at a configurable Fibonacci pullback (default 50%) inside that leg.
ATR-based stop is placed below entry.
Take-profit is projected to satisfy min Reward:Risk.
Bearish structure:
Mirrored logic (lower highs/lows, price below EMA, W3 down, W4 retrace up, W5 continuation down).
Once a valid setup is found, the script draws a colored box around the entry zone and a label describing the type of signal (“LONG SETUP” or “SHORT SETUP”) with the suggested limit price.
6. Orders & Execution
Entry Orders: The strategy uses limit orders at the computed W4 level (“Sniper Long” or “Sniper Short”).
Exits: A single strategy.exit() is attached to each entry with:
Take-profit at the projected minimum R:R target.
Stop-loss at ATR-based level.
One Trade at a Time: New setups are only used when there is no open position (strategy.opentrades == 0) to keep the logic clear and risk contained.
7. Visual Guide on the Chart
Wave Labels:
Primary: ①,②,③,④,⑤, ⒶⒷⒸ
Intermediate: (1)…(5), (A)(B)(C)
Minor: i…v, a b c
Trend EMA: Single blue EMA showing the dominant trend.
Setup Boxes:
Green transparent box → long entry zone.
Red transparent box → short entry zone.
Labels: “LONG SETUP / SHORT SETUP” labels mark the proposed limit entry with price.
8. How to Use This Strategy
Attach the strategy to your chart
Choose your market (stocks, indices, FX, crypto, futures, etc.) and timeframe (for example 1h, 4h, or Daily). Then add the strategy to the chart from your Scripts list.
Start with the default settings
Leave all inputs on their defaults first. This lets you see the “intended” behaviour and the exact properties used for the published backtest (account size, 1% risk, commission, etc.).
Study the wave map
Zoom in and out and look at the three wave degrees:
Blue circles → Primary degree (big picture trend).
Teal (1)…(5) → Intermediate degree (swing structure).
Red i…v → Minor degree (micro waves).
Use this to understand how the engine is interpreting the Elliott structure on your symbol.
Watch for valid setups
Look for the coloured boxes and labels:
Green box + “LONG SETUP” label → potential W4 pullback long in an uptrend.
Red box + “SHORT SETUP” label → potential W4 pullback short in a downtrend.
Only trades in the direction of the EMA trend filter are allowed by the strategy.
Check the Reward:Risk of each idea
For each setup, inspect:
Limit entry price.
ATR-based stop level.
Projected take-profit level.
Make sure the minimum Reward:Risk ratio matches your own rules before you consider trading it.
Backtest and evaluate
Open the Strategy Tester:
Verify you have a decent sample size (ideally 100+ trades).
Check drawdowns, average trade, win-rate and R:R distribution.
Change markets and timeframes to see where the logic behaves best.
Adapt to your own risk profile
If you plan to use it live:
Set Initial Capital to your real account size.
Adjust default_qty_value to a risk level you are comfortable with (often 0.5–2% per trade).
Set commission and slippage to realistic broker values.
Re-run the backtest after every major change.
Use as a framework, not a signal machine
Treat this as a structured Elliott/R:R framework:
Filter signals by higher-timeframe trend, major S/R, volume, or fundamentals.
Optionally hide some wave degrees or ABC labels if you want a cleaner chart.
Combine the system’s structure with your own trade management and discretion.
Best Practices & Limitations
This is an approximate Elliott Wave engine based on fractal pivots. It does not replace a full discretionary Elliott analysis.
All wave counts are algorithmic and can differ from a manual analyst’s interpretation.
Like any backtest, results depend heavily on:
Symbol and timeframe.
Sample size (more trades are better).
Realistic commission/slippage settings.
The 0-slippage default is chosen only to show the “raw logic”. In real markets, slippage can significantly impact performance.
No strategy wins all the time. Losing streaks and drawdowns will still occur even with a strict R:R framework.
Disclaimer
This script is for educational and research purposes only and does not constitute financial advice or a recommendation to buy or sell any security. Past performance, whether real or simulated, is not indicative of future results. Always test on multiple symbols/timeframes, use conservative risk, and consult your financial advisor before trading live capital.
Market Solver Pro [Eˣ]Market Solver Pro is a multi-layer trend-and-structure based strategy designed to help traders study how price behaves around higher-timeframe support, resistance, and momentum shifts. It combines three core concepts into a single framework:
1. Multi-Timeframe Structure Zones (Support/Resistance Gradient)
The script identifies swing-based higher-timeframe pivot highs (PH) and pivot lows (PL).
These levels form dynamic zones where price frequently reacts. A gradient is displayed between the PH and PL to help traders visually understand where price sits within the broader structure.
This zone system is built using:
A structure timeframe (W/D/60 depending on chart TF)
Multi-step pivot validation
Real-time plot adjustments for consistency
The purpose of this component is to highlight context—whether the market is pressing into resistance, approaching support, or moving through the middle of the structure range.
2. Adaptive Ichimoku-Based Trend Model (Three-Layer Confirmation)
The strategy uses an expanded Ichimoku-style calculation applied across three timeframe multipliers.
Each layer evaluates:
Tenkan-sen slope
Kijun-sen slope
Cloud alignment
Momentum confirmation relative to recent highs/lows
Based on the user’s Risk Appetite (Low/Moderate/High), the strategy selects which layer to prioritize:
Low → Long-term trend consistency
Moderate → Mid-term sensitivity
High → Short-term responsiveness
The result is a trend-state signal (Up or Down) derived from structural and directional agreement across multiple layers.
3. Market Structure Filter (Directional Bias Control)
A price-action-based structure engine classifies swing highs/lows into:
HH (Higher High)
LH (Lower High)
HL (Higher Low)
LL (Lower Low)
The Market Structure Filter uses this information to determine whether higher-timeframe price action supports trend continuation or is compressing into a squeeze condition.
Filters include:
None
Standard
Strict
This prevents trades from triggering during conflicting structural environments unless intentionally allowed.
4. Entry Logic (Long / Short Conditions)
A signal appears only when all active components agree:
Valid chart timeframe
Date-range filter permitting backtest inclusion
HTF structure filter aligned
Trend-state confirmation
Price breaking beyond the current structure zone
Exclusion of opposite pin-bar signatures
When these conditions align, the strategy issues a long or short entry.
5. Stop-Loss Engine (S1/R1 Dynamic Management)
Stop-loss placement is derived from the pivot-timeframe’s S1/R1 levels and the bar of entry.
Two modes are available:
Standard trail: Stop updates with improving S1/R1 levels
2R → Break-Even: Moves stop to break-even on a 2R move, then trails using the stricter of BE or S1/R1
This helps users study how momentum-based trailing behaviour affects risk exposure under different market conditions.
6. Performance Table (Optional Display)
The script can display a performance summary including:
Win/Loss count
Profit factor
Average win/loss
Compounded result
Largest win/loss
Current risk percentage
These statistics reflect the parameters chosen inside the script and can assist in evaluating how different configurations behave when backtesting historical data.
They are not predictive and do not imply future results.
7. Auto vs Manual Settings
Auto Mode: Automatically selects trend multipliers, structure timeframe, and risk mode according to the chart’s timeframe.
Manual Mode: Gives users full control over all parameters and is used by alert conditions.
This allows flexible experimentation across intraday and swing environments.
8. Intended Use
This strategy is designed for educational and analytical purposes—specifically to help traders explore how multi-timeframe trend alignment, market structure, and dynamic support/resistance interact.
It does not guarantee performance and should be used alongside independent analysis, risk management, and market awareness.
The Truth Sniper: Breathing Edition**Overview**
This is a highly advanced trend-following strategy designed to filter out market noise ("Fakeouts") and manage risk using a dynamic "Breathing Ratchet" mechanism. It combines traditional trend analysis with institutional money flow logic to identify the true market direction.
**Key Features**
**1. The Conflict Zone (Gray Zone Filter)**
Most strategies fail during low-volume accumulation or distribution phases. This algorithm introduces a "Conflict Zone" logic:
* **True Rally (Green):** Price is above EMA50 AND Money Flow (VFI) is positive.
* **True Drop (Red):** Price is below EMA50 AND Money Flow (VFI) is negative.
* **Conflict (Gray Background):** When Price and Money Flow disagree (e.g., Price rising on negative volume), the background turns Gray. **Trading is disabled** in these zones to avoid bull/bear traps.
**2. Breathing Stop-Loss Mechanism (Volatility Adjusted)**
The Stop Loss isn't static. It "breathes" based on market heat (Volume/RSI):
* **High Heat (High Volatility):** The SL loosens its grip, moving towards the bottom of the Fibonacci zone to allow price fluctuation without premature exits.
* **Low Heat (Low Volatility):** The SL tightens aggressively towards the price to lock in profits during slow momentum.
**3. The Ratchet Lock (Slippage Prevention)**
To ensure maximum profit retention, the "Breathing" mechanism is governed by a **Ratchet Logic**:
* **For Longs:** The Stop Loss can ONLY move UP. If the "Breathing" calculation suggests lowering the stop (due to increased volatility), the Ratchet blocks it, keeping the SL at the highest historical level.
* **For Shorts:** The Stop Loss can ONLY move DOWN.
**4. Fibonacci Exit Zones**
Exits are calculated based on a 60-day dynamic High/Low lookback, creating "Zones" (0-23.6%, 23.6-38.2%, etc.) that the price must conquer. The SL trails these zones mechanically.
**Visual Guide**
* **Lime/Red Background:** Active Trade Zone (Confirmed Trend).
* **Gray Background:** Conflict Zone (Stay Out / Hold).
* **Purple 'X':** The exact price level where the Stop Loss was hit (Fixed marker).
* **Stepline:** The active Stop Loss level (Visible only during open trades).
**Disclaimer**
This script is for educational and research purposes only. Always manage your risk.
A13: Micro MAP Scalping StrategyA13: Micro MAP Scalping Strategy — Institutional Breakout Scalper (Pine Script v6 – Protected Source)
A completely original, professional scalping strategy developed from scratch over several months of research and live-market testing. The system is built around institutional breakout zones with a unique multi-stage validation process, strict confirmation requirements, and sophisticated risk management — all designed specifically for 1–15 minute timeframes.
Why this implementation is original and the source code is protected
The entire logic — from breakout detection to entry confirmation, multi-filter stop-loss engines, and dynamic position sizing — was built independently without relying on any existing public libraries, built-ins, or open-source code beyond standard Pine functions. The proprietary validation rules, ATR-scaled gap filtering, and layered confirmation system required extensive original development to achieve consistent performance in real-market conditions. Protecting the source code is necessary to preserve the unique edge that distinguishes this system from standard or publicly available implementations.
Core concepts and methodology (fully transparent — no code revealed)
1. Institutional Breakout Zone Detection
• Real-time identification of high-probability zones using a custom ATR-based minimum gap filter
• Zones are only considered valid when accompanied by clear price displacement and volume confirmation
• No reliance on standard Fair Value Gap or order block libraries — completely custom validation
2. Strict Dual Confirmation Entry Logic
• Entry requires one of two precise conditions:
— Confirmed pullback retest of the validated breakout zone, or
— Clean inside-bar formation fully contained within the zone
• Both conditions must align with the directional bias of the breakout
3. Five Independent Stop-Loss Engines
• ATR-based (default and recommended)
• Swing Low/High levels
• Pivot Point structure
• Trailing Stop with ATR offset
• Fixed percentage
• Every engine includes minimum and maximum stop-loss filters to prevent unrealistic risk during extreme volatility
4. Professional Risk & Position Sizing Engine
• Fixed percentage risk per trade (default 1%)
• Optional compounding mode for growing accounts
• Real-time calculation based on exact stop distance and current equity
• Full integration with leverage settings
5. Multi-Layer Filtering System
• Multi-timeframe EMA filter (default 60-period, fully customizable timeframe)
• Complete trading session control with UTC offset support
• Date range filtering for strategy deployment control
• Consecutive loss protection (optional multi-stop filter)
• Minimum/maximum stop-loss filters to eliminate low-probability setups
6. Real-Time Performance Dashboard
• Live display of win rate, net profit, maximum drawdown, total trades
• Consecutive win/loss streak tracking
• Current position size and average entry price
• All statistics visible directly on chart
Backtesting settings used in the published chart
• Symbol: BTC/USD
• Timeframe: 15-minute
• Initial capital: $10,000
• Risk per trade: 1%
• Commission: 0.04% (realistic for major brokers)
• Slippage: enabled
• Sample size: 200+ trades
These are the exact default Properties settings of the strategy.
The strategy is completely free to add and use on your charts.
#Scalping #Breakout #Intraday #Institutional #RiskManagement #ProfessionalStrategy
