Quickfingers Luc's Base Breaking Strategy v2.5Introduction
The strategy attempts to implement a popular price action strategy by Luc Thomas (a.k.a. Quickfingers Luc) typically referred to as a QFL base-breaking strategy. The strategy revolves around price action movements that reveal “bases”, which are price levels of support that have a significant, rapid price surges called “bounces”. Once a base is revealed, the base price level is used as reference to implement multiple entries below the base using a layering technique of dollar-cost averaging to place multiple limit orders at various price levels below the base price. As price action breaks below the base price, the limit orders will be filled, and the take profit, breakeven and stop loss prices will be recalculated.
How is it original and useful?
This strategy is unique in that the strategy version fully supports the TradingView backtester, which will enable you to perform experiments with various settings to evaluate performance using the historical chart data. The study version implements numerous custom alerts for you to build TradingView notifications around specific price action events and stay informed with market activity in real-time. Both script versions will provide the same configuration abilities where you can define:
Base confirmation settings, including volume analysis.
Your preferred layering strategy of either Dollar-cost averaging (DCA) or grid-like layers along with precise layer placement.
Your trading parameters like take profit and stop loss offsets, exchange commission rates, trading start time, and position size multiplication for each layer.
Flexible trade eligibility rules that can use other chart indicators, like RSI or EMA, to exclude the selection of base prices for trading.
The visibility of detailed statistics from the chart history pertaining to trading sessions started and closed, session durations, win rate, price action drops and bounces, as well as layer utilization.
How does it compare to other scripts in the Public Library?
The strategy offers a very detailed, comprehensive settings to address all types of markets found on TradingView where you can implement the QFL base-breaking strategy. The strategy version can be considered the first of its kind on TradingView to leverage the backtester to provide informative, detailed performance measurements surrounding this unique trading strategy. The study version will contain numerous custom alerts to aid in your notification preferences and stay informed on the indicator's activities:
Base Created
Base Cracked
Base Respected
Any Layer Cracked
Layer 1 Cracked
Layer 2 Cracked
Layer 3 Cracked
Layer 4 Cracked
Layer 5 Cracked
Layer 6 Cracked
Layer 7 Cracked
Layer 8 Cracked
Layer 9 Cracked
Layer 1 Respected
Layer 2 Respected
Layer 3 Respected
Layer 4 Respected
Layer 5 Respected
Layer 6 Respected
Layer 7 Respected
Layer 8 Respected
Take Profit Crossed
Stop Loss Crossed
What does it do and how does it do it?
It is recommended that you start with a chart that is on an hourly timeframe with the "Scale Price Chart Only" chart setting enabled. When applied to the chart for the first time, the default settings will work to render base price levels in orange and 8 DCA layers in blue using a Fibonacci-like sequence for the deviation offset relative to the base price. As you scroll through the chart's history you should see price action crossing the DCA layers, denoted with blue triangles, and a green take-profit line will render with green triangle denoting the crossing. Lastly, when a trade session begins upon the crossing of the first layer, the indicator will continue to identify base price levels, but the color of the price lines will be gray. When the trade session concludes upon the crossing of the take profit line, the indicator will switch the most recent base price line from gray to orange to make it active and eligible for trading.
As price action develops, the indicator will use the "Base Confirmation Settings" to look back by counting the number of bars to the left and right of a pivot low point, measure the price drops and bounces, and volume amounts to validate that they are within the specified values. If so, the indicator will draw an orange triangle beneath the candle bar to denote it as the pivot low point and begin rendering the orange line as the base price. The DCA layers will be calculated and offset relative to the base price using thin blue lines.
Optionally, the breakeven price line will be drawn to help visualize the true breakeven price which takes into consideration the exchange fees being applied. Base line, take profit, stop loss and DCA layer crossings will be denoted with colorful shapes to help visually recognize the events on the chart.
The volume is validated only at the pivot low candle. It will measure the volume against the moving average to determine base confirmation. A volume factor of 1 will mean that the volume must be at least the same value as the moving average value. A volume factor of 2 means it must be twice the moving average value.
Lastly, the very last bar will render a table of statistics that summarize all the events that have taken place since the indicator began simulating trading sessions from the chart's history.
Strategy Results
The default settings are designed to define a "weak" QFL base to ensure that the indicator will render chart elements when first loaded as well as to allow the backtester to gather order executions and display performance summary. The strategy version is using $10,000 initial capital, a commission rate of 0.1% for both entries and exits, and a 1 tick slippage setting. It is also using 3.4887% of the equity with a Position Size Multiplier of 1.35, using 8 total DCA layers, and a take profit of 5% with no stop loss. All other settings are defaults.
It is recommended that the indicator be "tuned" for your specific market in order to best implement the QFL trading strategy and obtain better desirable results. You do so by using the statistics table and observe the Mean Price Drop and Bounce values to learn what the indicator is detecting when it measures from the pivot low points. Using this information, you can adjust the Base Confirmation Settings accordingly, along with any volume specifications you require, to configure the indicator for the chart.
Always keep in mind that past performance may not be indicative of future results. Settings that seem favorable for one market may be found to be disastrous in another. Therefore, do take the time needed to understand how the settings will behave with the given chart symbol.
Enjoy! 😊👍
How to obtain access to the script?
You have two choices:
Use the "Website" link below to obtain access to this indicator, or
Send us a private message (PM) in TradingView itself.
在腳本中搜尋"stop loss"
MACD-Extendido-Estrategia por Neil--------------------------------
MACD-Extendida-Estrategia
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DESCRIPTION
Resource that identifies entry and exit operations using the indicator
Average Convergence and Divergence Movements ( MACD ) and 5 strategies
INTERESTING
Novel strategies are implemented such as:
1. Overbought and oversold band to avoid horizontal movements
2. Control inputs and outputs at positions opposite the histogram line
3. Make a profit (take profit) without prior purchase orders
HOW DOES IT WORK (STRATEGIES)
1) Overbought and oversold:
Allows you to define an overbought upper band
Allows you to define an oversold ower band
Operations that occur within the band are ignored
2) Place of next operation (either side):
Indicates that the next operation can occur on either side of the histogram
3) Place of next operation (opposite side):
Indicates that the next operation must occur on the opposite side of the histogram
4) Take profit:
It allows defining the deviation in favor to execute a take profit.
It does not place a buy order at a distant point, instead it looks back and if the shift meets the expected deviation, take profit is executed
5) Loss control (stop loss):
It allows to define the deviation against to execute a stop loss.
It does not place a stop order at a distant point, instead it looks back and if the displacement meets the expected deviation the stop loss is executed
How to use it:
Press the "Indicators" option, go to the "Public Librarian" segment, write the name "MACD-Extended-Strategy by Neil", double-click on the record in question and you will have it added in your work panel, now, just It remains to be used to identify the inputs and outputs and you can do it visually or by defining the automatic notification alerts.
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MACD-Extendida-Estrategia
--------------------------------
DESCRIPCION
Recurso que identifica operaciones de entradas y salida haciendo uso del indicador
Media móvil de Convergencia/Divergencia ( MACD ) y 5 estrategias
NOVEDADES
Se implementan estrategias novedosas como:
1. Banda de sobrecompra y sobreventa para esquivar movimientos horizontales
2. Control de entradas y salidas en posiciones contrarias a la línea del histograma
3. Toma de ganancias (take profit) sin ordenes de compra previa
COMO FUNCIONA (ESTRATEGIAS)
1) Sobrecompra y Sobreventa:
Permite definir una banda superior de sobrecompra
Permite definir una banda inferior de sobreventa
Operaciones que ocurren dentro de la banda son ignoradas
2) Lugar de próxima operación (cualquier lado):
Indica que la próxima operación puede ocurrir en cualquier lado del histograma
3) Lugar de próxima operación (lado opuesto):
Indica que la próxima operación debe ocurrir en el lado opuesto del histograma
4) Toma de ganancias (take profit):
Permite definir la desviación a favor para ejecutar una toma de ganancia.
No coloca una orden de compra en un punto distante, en su lugar mira hacia atrás y si el desplazamiento cumple con la desviación esperada se ejecuta la toma de ganancia
5) Control de pérdida (stop loss):
Permite definir la desviación en contra para ejecutar una parada de pérdida.
No coloca una orden de parada en un punto distante, en su lugar mira hacia atrás y si el desplazamiento cumple con la desviación esperada se ejecuta la parada de la pérdida
Como usarlo:
Presione la opción "Indicadores", ubíquese en el segmento "Libreria Publica", escriba el nombre "MACD-Extendido-Estrategia por Neil", haga doble clic sobre el registro en cuestión y lo tendrá agregado en su panel de trabajo, ahora, solo resta usarlo para identificar las entradas y salidas y puede hacerlo de forma visual o definiendo las alertas de notificación automática.
Zendog V2 backtest DCA bot 3commasHi everyone,
After a few iterations and additional implemented features this version of the Backtester is now open source.
The Strategy is a Backtester for 3commas DCA bots. The main usage scenario is to plugin your external indicator, and backtest it using different DCA settings.
Before using this script please make sure you read these explanations and make sure you understand how it works.
Features:
- Because of Tradingview limitations on how orders are grouped into Trades, this Strategy statistics are calculated by the script, so please ignore the Strategy Tester statistics completely
Statistics Table explained:
- Status: either all deals are closed or there is a deal still running, in which case additional info
is provided below, as when the deal started, current PnL, current SO
- Finished deals: Total number of closed deals both Winning and Losing.
A deal is comprised as the Base Order (BO) + all Safety Orders (SO) related to that deal, so this number
will be different than the Strategy Tester List of Trades
- Winning Deals: Deal ended in profit
- Losing deals: Deals ended with loss due to Stop Loss. In the future I might add a Deal Stop condition to
the script, so that will count towards this number as well.
- Total days ( Max / Avg days in Deal ):
Total Days in the Backtest given by either Tradingview limitation on the number of candles or by the
config of the script regarding "Limit Date Range".
Max Days spent in a deal + which period this happened.
Avg days spent in a deal.
- Required capital: This is the total capital required to run the Backtester and it is automatically calculated by
the script taking into consideration BO size, SO size, SO volume scale. This should be the same as 3commas.
This number overwrites strategy.initial_capital and is used to calculate Profit and other stats, so you don't need
to update strategy.initial_capital every time you change BO/SO settings
- Profit after commission
- Buy and Hold return: The PnL that could have been obtained by buying at the close of the first candle of the
backtester and selling at the last.
- Covered deviation: The % of price move from initial BO order covered by SO settings
- Max Deviation: Biggest market % price move vs BO price, in the other direction (for long
is down, for short it is up)
- Max Drawdown: Biggest market % price move vs Avg price of the whole Trade (BO + any SO), in the other
direction (for long price goes down, for short it goes up)
This is calculated for the whole Trade so it is different than List of Trades
- Max / Avg bars in deal
- Total volume / Commission calculated by the strategy. For correct commission please set Commission in the
Inputs Tab and you may ignore Properties Tab
- Close stats for deals: This is a list of how many Trades were closed at each step, including Stop Loss (if
configured), together with covered deviation for that step, the number of deals, and the percentage of this
number from all the deals
TODO: Might add deal avg value for each step
- Settings Table that can be enabled / disabled just to have an overview of your configs on the chart, this is a
drawn on bottom left
- Steps Table similar to 3commas, this is also drawn on bottom left, so please disable Settings table if you want
to see this one
TODO: Might add extra stats here
- Deal start condition: built in RSI-7 or plugin any external indicator and compare with any value the indicator plots
(main purpose of this strategy is to connect your own studies, so using external indicator is recommended)
- Base order and safety orders configs similar to 3commas (order size, percent deviation, safety orders,
percent scale and volume scale)
- Long and Short
- Stop Loss
- Support for Take profit from base order or from Total volume of the deal
- Configs help (besides self explanatory):
- Chart theme: Adjust according to the theme you run on. There is no way to detect theme at the moment.
This adjust different colors
- Deal Start Type: Either a builtin RSI7 or "External indicator"
- Indicator Source an value: If using External Indicator then select source, comparison and value.
For example you could start a deal when Volume is greater than xxxx, or code a custom indicator that plots
different values based on your conditions and test those values
- Visuals / Decimals for display: Adjust according to your symbol
- BO Entry Price for steps table: This is the BO start deal price used to calculate the steps in the table
Futures Spot Difference Strategy by MoonFlag
This strategy compares the spot and futures value of a coin on a given exchange
If the 'Percent Difference' (See settings) is greater than a user specified ammount a blue (long) or green(short) line is put on the chart.
Default % difference typically varies from 0.2 to 0.7 depending on the coin and timeframe. On higher timeframes (1hour) a difference of 1.5% might be required to give good intermittent trade results.
I've chosen a USD-USDT comparison as default for ease of understanding. Note the futures coin goes onto the chart and the spot coin is referenced in settings. The bot works this way as the futures will typically extend beyond the spot price, not the other way around.
User can select if to include Long and/or Short trades.
The 'Trigger Only When Bar Complete' means that repainting should not be an issue if set to true. However, if set to false the strategy will enter a trade at the point in time when the percentage difference is met. This is useful with some coins as the futures coins price rapidly changes to realign with the spot price. It is however difficult to backtest this feature as backtests only consider the bar complete situation. I mostly use Trigger When Bar Complete = true, as a difference in the spot/ futures price is typically followed by a price shift trend over then next reasonable time period.
Timing is essential in this bot. There is a stop-loss however, this stop value is replaced by a exp ramp which has 3 variables (starting %, length, run-up). When the ramp is narrower to the price than the stop-loss the ramp takes over the stop-loss and this reduces losses. Also, there is an option to have the ramp take over the take-profit if the ramp betters the start-price (i.e. the trade is in profit). This is very useful for times when the price massively swings beyond the take-profit price as the exp ramp goes way up. The ramp also limits the time a trade will stay in position, unless the trades moves in tandem with the ramp. The ramp is the most useful feature I have for bots, I use it all the time.
So a difference between the spot and futures price - can lead to a trend establishing, so catch these with this bot. It works well on fast timeframes, 1m, 5m, 15m, and also is useful with the 1hour and similar.
Please get in touch to have this bot matched to any coin pair
Please do get in touch if you have any questions/suggestions.
Sincerely,
MoonFlag PhD
Scalp - 50/200 EMAWorks on any timeframe but was built originally for scalping. Uses 50EMA and 200EMA to define the trend and touch backs on to the 50 EMA for entry.
200 EMA - White Line
50 EMA - Yellow Line
ATR: Length 14 Smoothing RMA
1. Wait for 50ema to crossover 200 ema – Then wait for candle to touch 50 ema after the cross.
2. Entry: Green candle that closes above 50 ema without getting more than 3 candles closing below(BUY) or above (SELL) 50ema.
3. Stop loss: 2x ATR value below entry candle.
4. Take profit: 1.5x the risk.
Settings allow for # of Entries allowed per trend as well as EMA periods.
Opposite for Sell Entries (Stop Loss: 2x ATR value above entry candle)
Bear & Bull Zone Signal StrategySince I love to mix and match, here is something fresh and that actually works on the breakout of Ethereum without losing your ass on lagging indicators.
It blends some of the nice parts of my previous scripts while moving to big boy pants with a twist on the Fibonacci retracement using SMA and EMA at multiple levels to do a sanity check.
Is it too good to be true? Nope, just what happens when a Solution Architect starts messing around with crypto and applies engineering and mathematics to the mix. You get a strategy that really doesn't have high profit losses when you tweak it just the right way.
What's the right tweak you ask?
1. Start with a 30 minute timeframe and set your window start date to the date the market began the bear or bull run
2. Make sure you can see your strategy performance window (not the graph one)
3. Set Stop Loss and Target Profit to 50%
4. Use your mouse wheel or up and down arrows and mess around with the RSI, go down one at a time but no lower than 7. Whichever value displayed the highest long or short gain is the one to pick.
5. Now select long or short only based on whichever one shows the highest gain.
6. Now go to K and D, leave K as 3 and check what happens when D is 4 or 5. Leave D at the value that gives you the highest gain.
7. Now go to EMA Fast and Slow Lengths. Leave Fast at 5 and check what happens when the Slow is moved up to 11 or 12, do the gains go up. If not, check what happens when Slow is moved down to 9, 8, or 7. Whichever gives you the highest gain, leave it there. Now go mess with the fast length, keep in mind that fast must always be less than slow. So check values down to 3 and up to 6. Same concept, mo money...leave it be.
8. Now go mess with the Target Profit, I start at 5, hit enter, then go to 7, hit enter, then 9...up by 2 until I get to 21 to make sure I don't hastily pick a low one and always keep in mind between which values the gain switched from high to low. For example, in this example I published at 11 it was $5k and at 13 it was $3700 for the gains. So after I got up to 21 I went back to 11 and started going up by 0.01 steps until the value dropped, which was at 11.19 so I set it at 11.18.
9. Now stop loss is trickier, you've maximized the gains, which means if you set the stop loss at a low value you will sacrifice gains. Typically by this point your loss is less than 10% with this script. So, my approach is to find the value where the stop loss doesn't change what I've tweaked already. In this example, I did the same start at 5 and go up by 2 and saw that when I went to 17 it stopped changing. So I started going back down by 0.5 and saw at 15.5 the gains went lower again. Now I started going back up in steps of 0.01 and at 15.98 it went back to the high gain I already tweaked for. I kept stop loss there and unleashed the strategy on ETH.
So far so good, no bad trades and it's been behaving pretty well.
Scalping Dips On Trend (by Coinrule)Coinrule's Community is an excellent source of inspiration for our trading strategies.
In these months of Bull Market, our traders opted mostly on buy-the-dips strategies, which resulted in great returns recently. But there has been an element that turned out to be the cause for deep division among the Community.
Is it advisable or not to use a stop-loss during a Bull Market?
This strategy comes with a large stop-loss to offer a safer alternative for those that are not used to trade with a downside protection.
Entry
The strategy buys only when the price is above the Moving Average 50 , making it less risky to buy the dip, which is set to 2%.
The preferred time frame is 1-hour.
The stop-loss is set to be quite loose to increase the chances of closing the trade in profit, yet protecting from unexpected larger drawdowns that could undermine the allocation's liquidity.
Exit
Stop loss: 10%
Take Profit: 3%
In times of Bull Market, such a trading system has a very high percentage of trades closed in profit (ranging between 70% to 80%), which makes it still overall profitable to have a stop-loss three times larger than the take profit.
Pro tip: use a larger stop-loss only when you expect to close in profit most of the trades!
The strategy assumes each order to trade 30% of the available capital and opens a trade at a time. A trading fee of 0.1% is taken into account.
Follow the Trend with Fib support LevelsThis is trend following strategy. Which takes entries on the pullbacks when long term trend is up.
It allows you to enter / add on pullback of Fib 0.618 of prebious N number of candles. I have defaulted this to 9.
BUY
====
1. Long term trend is UP i.e ema 50 is above ema 200
2. wait for Fib0.618 pulls back to trend zone (orange line )
3. when the close cross above Fib0.618 line , Enter BUY or ADD to existing position
Exit
====
1. Wait for Fib0.618 come out of Trend zone
2. close partial , when price cross down below Fib0.236
Stop Loss
========
1. Stop Loss set as Trailing Stop Loss , defaulted to 5%
you can also use ATR as trailing stop loss.
I have tested with SPY , QQQ and AAPL on hourly chart
Warning
========
for the use of educational purpose only. If you want to trade the startegy signals, please do yor own research.
Pullback Traps v. 0.1Trading Strategy for scalping the CME_MINI:ES1! and CME_MINI:MES1! futures on the 5 min. time frame.
The strategy will count legs and look for failed pullbacks and failed second entries where shorters get trapped.
How to use:
When a trap occurs (Marked with green light) place an order one tick above the high of the trap and enter on next candle
If entry doesn't happen on next candle and it has a lower high, move entry to one tick above high of that candle.
Keep doing the above until you enter or until a candle is marked with a blue light and the text Trap Dead.
If you see Trap dead and you haven't entered, quickly cancel your order.
What is green light?
A second or later pullback down away from the uptrend. When the green light is present the shorters haven't made a 1 point profit and short scalpers are trapped.
What is blue light?
1. Shorters made their 1 point profit and trap is dead. Cancel your trade. Or...
2. Shorters hit their stop loss and you're probably in a trade now and about to profit.
Profit and stop loss:
Numbers are done with profit 5 ticks and stop loss 30 ticks.
Should I have a stop loss 6 times greater than profit?
Probably not. The numbers you see here are made with these profit and stop loss figures but I don't advice it in real trading.
The numbers look good on this backtest but in reality a few bad trades would ruin everything.
This was made purely for fun and sim trading - Feel free to do your own testing and show the resulsts.
Follow the Trend - Trade PullbacksKindly follow the rules stated below for entry, exit and stop loss. Not every Buy / Sell signal will be profitable.
Timeframe of the chart acts as current timeframe. You need to choose 2 more as middle and higher timeframes.
This indicator is based on candlesticks, ATR and CCI indicators and the logic provides buy / sell signals at the pullbacks of the trend depicted by higher timeframe, that must be respected throughout.
Enter the long / short trade respectively when the indicator gives buy / sell signal after price has gone below the green / above the red line for higher timeframe.
Stop loss shall be low / high of recent swing. Exit when the price closes below / above the middle timeframe, to be used as trailing target.
Use it for any instrument for any timeframe of your choice.
For example, check the shared chart. It is a 1 min intraday, but the indicator can be used for short or long term positional trades as well.
Enter long at 14102, with stop loss 14077. Trailing target is achieved at 14156 giving a Risk:Reward ratio of 1:2.
Another Buy signal is observed around same level and uptrend continues till day end, again for a Risk:Reward ratio of approx. 1:2.
Rules to follow for Long trades -
Enter long position at Buy signal given after price has moved below green line of higher timeframe.
Exit the position when price closes below orange / blue line of middle timeframe.
Stop loss must be at low of recent swing, appearing just before the Buy signal.
Rules to follow for Short trades -
Enter short position at Sell signal given after price has moved above red line of higher timeframe.
Exit the position when price closes above orange / blue line of middle timeframe.
Stop loss must be at high of recent swing, appearing just before the Sell signal.
Noro's ZZ-6 by hamster-botThe original script is available here
New version of ZZ-strategy.
Repaint?
Normal lines are not redrawn. Dotted lines repaint, but do not affect trading (do not affect backtests). You can turn off repaint in the script settings. Repaint (dotted lines) are needed only for clarity. To make it clear from which bar the level is created.
Levels
Lime lines above - level from a local high bar. To open a long position. Using a market stop order.
Red line at the bottom - the level from a local low bar. To open a short position. Using a market stop order.
Trading
You can trade without short positions. Then the red line is the level for a stop-loss order.
Reverse trading can be used. Without stop-loss orders.
Risk size
Order size depends on the risk size parameter and possible loss. If risk size = 2%, it means that the loss will be no more than 2%.
For crypto
Symbols: XBT/USD, BTC /USD, BTC /USDT, ETH/USD, etc - need USD(T)
Timeframes: 1h, 4h, 1d
The script will continue to be developed by the Hamster Bot team
Noro's ZZ-6 StrategyNew version of ZZ-strategy.
Repaint?
Normal lines are not redrawn. Dotted lines repaint, but do not affect trading (do not affect backtests). You can turn off repaint in the script settings. Repaint (dotted lines) are needed only for clarity. To make it clear from which bar the level is created.
Levels
Lime lines above - level from a local high bar. To open a long position. Using a market stop order.
Red line at the bottom - the level from a local low bar. To open a short position. Using a market stop order.
Trading
You can trade without short positions. Then the red line is the level for a stop-loss order.
Reverse trading can be used. Without stop-loss orders.
Risk size
Order size depends on the risk size parameter and possible loss. If risk size = 2%, it means that the loss will be no more than 2%.
For crypto
Symbols: XBT/USD, BTC/USD, BTC/USDT, ETH/USD, etc - need USD(T)
Timeframes: 1h, 4h, 1d
Noro's RiskChannel StrategyIndicator
The Donchian price channel is used. There are 2 methods available to close the position. The user can choose a method.
Wikipedia: en.wikipedia.org
Strategy #1 (stop-loss type = channel)
Old classic trading strategy, using breakouts of the Donchan price channel.
If the price is above the price channel top line, open the long position (and close the short position)
If the price is below the lower line of the price channel, open the short position (and close the long position)
It is recommended that you all use market stop orders.
Strategy #2 (stop-loss type = center)
This metod is better. This method is recommended.
The central line (red) is the middle of the Donchian price channel. Used to close any positions.
If the price is higher than the price channel top line, open the long position.
If the price is lower than the lower line of the price channel, open the short position.
If the price has crossed the central line of the channel, close any position.
It is recommended that you all use market stop orders.
Risk
There are 2 options. Risk for long positions and risk for short positions. This is the size of the possible loss. Order size depends on the possible loss and is calculated for each position.
For
BTC/USD, BTC/USDT, XBT/USD, ETH/USD, ETH/USD (need USD!)
Timeframes: 1h and length of price channel = 50 bars or 4h and length of price channel = 12
TTS Triple Threat SMA10-30-200 TLTTS Triple Threat SMA10-30-200 TL is a crossover and crossunder trading system that is based on three simple moving averages (SMA).
The default settings are optimized for 4-hour charts.
The TTS Triple Threat trading system works as follows:
1. Enters BULLISH trade when LE Trade & LONG signals are shown on the chart.
2. Enters BEARISH trade when SE Trade & SHORT signals are shown on the chart.
3. LONG and SHORT signals are shown based on SMA crosses for visual inspection but doesn't mean they are trades. Either LE Trade or SE Trade signals need to be present for a trade to take place.
4. TTS Triple Threat SMA10-30-200 TL uses trailing stop loss settings. The ratios between the profit taking settings and trailing loss stops are important to the strategy. Trailing stop loss exits are shown on the chart as XL STOP LOSS or XS STOP LOSS. Profit exits are shown as XL PROFIT EXIT and XS PROFIT EXIT.
Easy Loot Trailing Stop Bot - (PSAR) StrategyHello World,
Today I am bringing you a Parabolic Stop and Reverse Strategy that uses a 5% trailing stop loss.
Tested the strategy on the 1D timeframe of Bitcoin from the time period starting from 2018 onwards.
As you may know the price in the start of 2018 for Bitcoin was around $11,000 meaning if you bought and HODL'd since then you'd be down a good %, as current price is $8650.
Below is the strategy testing results, up 844% profits in the last two years.
Easy Loot Members Only, contact me if you'd like access to the strategy.
Parabolic Stop and Reverse (PSAR) Strategy
Parabolic SAR is a time and price technical analysis tool primarily used to identify points of potential stops and reverses. In fact, the SAR in Parabolic SAR stands for "Stop and Reverse". The indicator's calculations create a parabola which is located below price during a Bullish Trend and above Price during a Bearish Trend.
Trailing Stop Loss
A trailing stop-loss order is a special type of trade order where the stop-loss price is not set at a single, absolute dollar amount, but instead is set at a certain percentage or a certain dollar amount below the market price.
Total Trend Follow Strategy with Pyramid and DCA
Introduction
This is a Pine 4 trend following strategy. It has a twin study with several alerts. The design intent is to produce a commercial grade signal generator that can be adapted to any symbol and interval. Ideally, the script is reliable enough to be the basis of an automated trading system web-hooked to a server with API access to crypto, forex and stock brokerages. The strategy can be run in three different modes: long, short and bidirectional.
As a trend following strategy, the behavior of the script is to buy on strength and sell on weakness. As such the trade orders maintain its directional bias according to price pressure. What you will see on the chart is long positions on the left side of the mountain and short on the right. Long and short positions are not intermingled as long as there exists a detectable trend. This is extremely beneficial feature in long running bull or bear markets. The script uses multiple setups to avoid the situation where you got in on the trend, took a small profit but couldn’t get back in because the logic is waiting for a pullback or some other intricate condition.
Deep draw-downs are a characteristic of trend following systems and this system is no different. However, this script makes use of the TradingView pyramid feature accessible from the properties tab. Additional trades can be placed in the draw-down space increasing the position size and thereby increasing the profit or loss when the position finally closes. Each individual add on trade increases its order size as a multiple of its pyramid level. This makes it easy to comply with NFA FIFO Rule 2-43(b) if the trades are executed here in America. The inputs dialog box contains various settings to adjust where the add on trades show up, under what circumstances and how frequent if at all. Please be advised that pyramiding is an advanced feature and can wipe out your account capital if your not careful. During the backtest use modest setting with realistic capital until you discover what you think you can handle.
In addition to pyramiding this script employs DCA which enables users to experiment with loss recovery techniques. This is another advanced feature which can increase the order size on new trades in response to stopped out or winning streak trades. The script keeps track of debt incurred from losing trades. When the debt is recovered the order size returns to the base amount specified in the TV properties tab. The inputs for this feature include a limiter to prevent your account from depleting capital during runaway markets. The main difference between DCA and pyramids is that this implementation of DCA applies to new trades while pyramids affect open positions. DCA is a popular feature in crypto trading but can leave you with large “bags” if your not careful. In other markets, especially margin trading, you’ll need a well funded account and much experience.
Consecutive loss limit can be set to report a breach of the threshold value. Every stop hit beyond this limit will be reported on a version 4 label above the bar where the stop is hit. Use the location of the labels along with the summary report tally to improve the adaptability of system. Don’t simply fit the chart. A good trading system should adapt to ever changing market conditions. On the study version the consecutive loss limit can be used to halt live trading on the broker side (Managed manually).
Design
This script uses nine indicators on two time frames. The chart (primary) interval and one higher time frame which is based on the primary. The higher time frame identifies the trend for which the primary will trade. I’ve tried to keep the higher time frame around five times greater than the primary. The original trading algorithms are a port from a much larger program on another trading platform. I’ve converted some of the statistical functions to use standard indicators available on TradingView. The setups make heavy use of the Hull Moving Average in conjunction with EMAs that form the Bill Williams Alligator as described in his book “New Trading Dimensions” Chapter 3. Lag between the Hull and the EMAs form the basis of the entry and exit points. The alligator itself is used to identify the trend main body.
The entire script is around 1700 lines of Pine code which is the maximum incidental size given the TradingView limits: local scopes, run-time duration and compile time. I’ve been working on this script for over a year and have tested it on various instruments stocks, forex and crypto. It performs well on higher liquidity markets that have at least a year of historical data. Though it can be configured to work on any interval between 5 minutes and 1 day, trend trading is generally a longer term paradigm. For day trading the 10 to 15 minute interval will allow you to catch momentum breakouts. For intraweek trades 30 minutes to 1 hour should give you a trade every other a day. Four hours and above are for seasoned deep pocket traders. Originally, this script contained both range trading and trend following logic but had to be broken into separate scripts due to the aforementioned limitations.
Inputs to the script use cone centric measurements in effort to avoid exposing adjustments to the various internal indicators. The goal was to keep the inputs relevant to the actual trade entry and exit locations as opposed to a series of MA input values and the like. As a result the strategy exposes over 50 inputs grouped into long or short sections. Inputs are available for the usual minimum profit and stop-loss as well as safeguards, trade frequency, DCA, modes, presets, reports and lots of calibrations. The inputs are numerous, I’m aware. Unfortunately, at this time, TradingView does not offer any other method to get data in the script. The usual initialization files such as cnf, cfg, ini, json and xml files are currently unsupported.
Example configurations for various instruments along with a detailed PDF user manual is available.
Indicator Repainting And Anomalies
Indicator repainting is an industry wide problem which mainly occurs when you mix backtest data with real-time data. It doesn't matter which platform you use some form of this condition will manifest itself on your chart over time. The critical aspect being whether live trades on your broker’s account continue to match your TradingView study. Since this trading system is featured as two separate scripts, indicator repainting is addressed in the study version. The strategy (this script) is intended to be used on historical data to determine the appropriate trading inputs to apply in the study. As such, the higher time frame of this strategy will indeed repaint. Please do not attempt to trade from the strategy. Please see the study version for more information.
One issue that comes up when comparing the strategy with the study is that the strategy trades show on the chart one bar later than the study. This problem is due to the fact that “strategy.entry()” and “strategy_exit()” do not execute on the same bar called. The study, on the other hand, has no such limitation since there are no position routines. However, alerts that are subsequently fired off when triggered in the study are dispatched from the TradingView servers one bar later from the study plot. Therefore the alert you actually receive on your cell phone matches the strategy plot but is one bar later than the study plot. A lot can happen in four hours if you are trading off a 240 bar.
Please be aware that the data source matters. Cryptocurrency has no central tick repository so each exchange supplies TradingView its feed. Even though it is the same symbol the quality of the data and subsequently the bars that are supplied to the chart varies with the exchange. This script will absolutely produce different results on different data feeds of the same symbol. Be sure to backtest this script on the same data you intend to receive alerts for. Any example settings I share with you will always have the exchange name used to generate the test results.
Usage
The following steps provide a very brief set of instructions that will get you started but will most certainly not produce the best backtest. A trading system that you are willing to risk your hard earned capital will require a well crafted configuration that involves time, expertise and clearly defined goals. As previously mentioned, I have several example configs that I use for my own trading that I can share with you along with a PDF which describes each input in detail. To get hands on experience in setting up your own symbol from scratch please follow the steps below.
The input dialog box contains over 50 inputs separated into seven sections. Each section is identified as such with a makeshift separator input. There are three main areas that must to be configured: long side, short side and settings that apply to both. The rest of the inputs apply to pyramids, DCA, reporting and calibrations. The following steps address these three main areas only. You will need to get your backtest in the black before moving on to the more advanced features
Step 1. Setup the Base currency and order size in the properties tab.
Step 2. Select the calculation presets in the Instrument Type field.
Step 3. Select “No Trade” in the Trading Mode field.
Step 4. Select the Histogram indicator from section 3. You will be experimenting with different ones so it doesn’t matter which one you try first.
Step 5. Turn on Show Markers in Section 3.
Step 6. Go to the chart and checkout where the markers show up. Blue is up and red is down. Long trades show up along the blue markers and short trades on the red.
Step 7. Make adjustments to Base To Vertex and Vertex To Base net change and roc in section 3. Use these fields to move the markers to where you want trades to be. Blue is long and red is short.
Step 8. Try a different indicator from section 3 and repeat Step 7 until you find the best match for this instrument on this interval. This step is complete when the Vertex settings and indicator combination produce the most favorable results.
Step 9. Turn off Show Markers in Section 3.
Step 10. Enable the Symmetrical and Deviation calculation models at the top of section 5 and 6 (Symmetrical, Deviation).
Step 11. Put in your Minimum Profit and Stop Loss in the first section. This is in pips or currency basis points (chart right side scale)
Step 12. Return to step 3 and select a Trading Mode (Long, Short, BiDir, Flip Flop). If you are planning to trade bidirectionally its best to configure long first then short. Combine them with BiDir or Flip Flop after setting up both sides of the trade individually.
Step 13. Trades should be showing on the chart.
Step 14. Make adjustments to the Vertex fields in section 3 until the TradingView performance report is showing a profit.
Step 15. Change indicators and repeat step 14. Pick the best indicator.
Step 16. Use the check boxes in sections 5 and 6 to improve the performance of each side.
Step 17. Try adding the Correlation calculation model to either side. This model can sometimes produce a negative result but can be improved by enabling “Adhere To Markers” or “Narrow Correlation Scope” in the sections 5 and 6.
Step 18. Enable the reporting conditions in section 7. Look for long runs of consecutive losses or high debt sequences. These are indications that your trading system cannot withstand sudden changes in market sentiment.
Step 19. Examine the chart and see that trades are being placed in accordance with your desired trading model.
Step 20. Apply the backtest settings to the study version and perform forward testing.
This script is open for beta testing. After successful beta test it will become a commercial application available by subscription only. I’ve invested quite a lot of time and effort into making this the best possible signal generator for all of the instruments I intend to trade. I certainly welcome any suggestions for improvements. Thank you all in advance.
Super Trend 4hr XBT BFThis script is designed for XBT/USD on Bitmex 4hr chart .
The signals are generated from a calculation of the overall super trend using ATR.
The stop loss level is also determined by a separate ATR calculation. This allows for dynamic stop loss placement depending on how volatile the market. Lower ATR = tighter Stop.
I tried a Take-Profit function but it seems the best results I can find come from exiting a trade upon an opposing signal.
INSTRUCTIONS
1. Go Long when background turns green, or short when it turns red.
2. Set your stop loss as indicated on the chart by the dotted lines. Yellow is stop loss for a long signal, orange for short.
3. Exit on an opposing signal.
NB: the Stop losses are only plotted on the chart when we are not stopped out. If we get stopped out, we wait for the next signal.
RSI - Oversold BTC StrategyWhen BTC goes through a large swing downward, it often goes into oversold territory and quickly swings back upwards. This strategy is designed to capitalize on the swings without gettings stopped-out with the surrounding volatility. I find that this strategy works best on the 5 minute chart.
You can set the maximum loss (in dollars), trade size (in BTC ), plus your trailing stop and offset (pips).
The blue line on the graph indicates your stop loss point, which trails your buy-in point by your specified maximum loss. Remember, in this strategy, this stop-loss is only used to protect you from unexpected large swings, your trailing stop loss is used to capture profits.
DAILY TARI Hi guys!
This is maybe my most powerfull strategy. It's only for DAILY CHARTS.
Since the chart is D you have to look at it only 1 minute per day as the new candel appears.
You will find the signal to BUY or to SELL, the TAKE PROFIT and STOP LOSS or TRAILING STOP LOSS.
The idea behind this is the volatility and an oscillator based on the volatility, plus something extra.
The back test here is with Euro/USD because you can see the last 25 years, but feel free to try any other currencies!.
The default TP is 200 pips and SL 200 pips too.
If you us Stop Loss try even in the range 22-80. If you use Trailing Stop Loss 200 is ok.
You can have even a Risk/Reward ratio around 10!
There is another input, called TARI. It works as a filter, rising it you will have less trades but with higher returns.
You can have a free trial on request.
To use this strategy you need to subscribe 50€/month! Check out on my page!
Enjoy your wallet!
Tari.
RSI Buy/sell signal with TP_SL_TL_15min by rajistaRSI Buy/sell signal with TakeProfit_Stop loss_Trailing_SL script -can be used on any altcoin/btc pair on the 15min chart .
This script can be used for backtesting pupose and also to give buy/sell signals based on the settings provided by you.
Benefits of the script:
1> Fully customizable script according to your trade setups.
2> The script incorporates Take-profit, Stop-loss & Trailing SL.
3> Cuts your losses significantly, in comparision to a script without TP, SL & TL strategies.
4> Based on RSI Overbought/Oversold levels, which can also be customizable.
5> Doesn't take too many trades in a day, thereby decreasing commission paid to exchanges & hence enhances the overall profit.
Here's how, you can fully customize the script, according to your strategy, once you have been provided access:
( To gain access to the script just hit the like/comment in the #tradingview published article & i'll grant access based on your tradingview userid )
You can add this script to your charts in 15min timeframe, like adding any other simple indicator.
Once you have added the script, just hit the settings button to fully customize the script according to your strategy and plan, that you have, for your trade setup.
Take profit, Stop loss, Trailing Stop loss values can be entered in satoshis from the setting panel.
RSI Overbought & Oversold values can also be entered according to your trading setup.
Like in below example , i have put the following values as default
Test date is set as 1 May 2018
Take profit=1000, stop loss=5, Trailing SL=40
RSI Overbought=70, Oversold=20
" Above mentioned values are default values and may not be profitable in every condition, you have to backtest the strategy by changing these values and then see the results of given values under the Strategy tester tab- located at bottom of your #tradingview chart. "
Lets see how the scipt is able to make these awesome gains:
Suppose your script enters a trade(buys Verge) when #Verge is at 800sats
Then the bot will close the trade(sell Verge) when either of these things happen:
a> Verge surges to 1800 sats, then the script will close trade by Taking profit
b>Verge increases to 850 only, but the RSI value in 15min chart has gone above 70 (Overbought-default value) then scipt will close trade.
c>Verge decreases to 995 sats, then script will close trade by Stop loss hit.
d>Verge surges to 840 but then again drops slightly to 835, script will again close trade by Trailing SL hit.
Initial capital is set to 10 btc
Make sure to check the performance summary tab below and overview of the script running on #XVGBTC since 1 May 2018-Till date
Profit -11.6% while running script
Where Buy and hold return for verge in the same period is:
- to get an instant notification, once i publish a script or a trading analysis/trade-setup , which will always be available for free for everyone!!!
BDNS ORB Strategy v3BDNS Opening Range Breakout Strategy
What This Strategy Does This strategy implements an Opening Range Breakout (ORB) system that identifies the high and low prices during a customizable opening period, then trades breakouts above or below these levels with momentum confirmation. The strategy goes beyond basic ORB concepts by incorporating ADX momentum filtering, VWAP directional bias, dynamic position sizing, and sophisticated exit management including breakeven moves and trailing stops.
Core Strategy Logic
Opening Range Definition: The strategy tracks price action during a user-defined opening period (default: 9:30-9:35 AM ET for 5 minutes). During this time, blue horizontal lines appear marking the session high and low. A yellow background highlights this opening range period.
Breakout Detection: After the opening range completes, green and red horizontal lines appear showing the actual entry levels - these are offset from the range boundaries by a configurable number of ticks (default: 24 ticks) to filter out false breakouts and ensure committed moves.
Entry Conditions: Trades trigger when price breaks through these offset levels during the trading window (green background, default until 10:30 AM ET), but only when:
ADX momentum indicator exceeds threshold (default 24.0) in the breakout direction
Price relationship to VWAP confirms directional bias (when VWAP filter enabled)
Daily trade limits haven't been reached
Large range filtering conditions are met
Visual Elements and Usage
Range Lines: Blue lines show the actual opening range boundaries. These appear immediately when the opening session begins.
Entry Levels: Green (long) and red (short) lines show where trades will trigger, appearing after the opening range completes.
Information Table: A data table appears in the top-right showing real-time strategy status including range size in ticks, ADX readings, filter status, trade counts, and momentum conditions.
Position Management:
When in a trade, colored circles appear showing:
Lime circles: Long position targets (T1, T2, T3)
Orange circles: Short position targets
Red circles: Stop loss levels
Blue crosses: Breakeven levels (when that feature activates)
Purple lines: Trailing stop levels (when position 3 trailing activates)
Background Colors:
Yellow: Opening range session active
Green: Trading window active
Purple: Large range day detected
Gray: Large range day being skipped
Position Management System
The strategy uses a three-tier exit approach:
Position 1: Takes partial profits at first target (default 50% of range size)
Position 2: Exits at second target (default 100% of range size)
Position 3: Either exits at third target or uses trailing stop after Position 2 wins
Breakeven Feature: When enabled and price reaches the breakeven trigger level, all stop losses move to a more favorable breakeven level instead of the original stop, protecting against giving back profits.
Trailing Stop System: After Position 2 hits its target, Position 3 automatically switches to a trailing stop that moves in the trader's favor as price continues trending.
Customization for Different Instruments
The default settings are configured for MNQ (Micro NASDAQ futures) but the ORB concept is highly customizable for any futures instrument and timeframe. Range duration, breakout offsets, and filter thresholds should be adjusted based on the specific instrument's volatility characteristics and typical intraday patterns.
Filter Usage Guidelines
ADX Momentum Filter: Essential for avoiding breakouts during consolidation. Higher thresholds (30+) for trending markets, lower (20-25) for more opportunities.
VWAP Filter: Helpful in trending conditions but may reduce trade frequency. Better to disable during range-bound or mean-reverting periods.
Large Range Filter: Critical risk management tool. When the opening range exceeds your threshold:
Skip: Avoids trades when stops would be too large
Fade: Trades mean reversion back into the range
Trade: Takes breakouts regardless (higher risk)
Range Size Considerations: Setting a large range threshold (200-400 ticks) helps avoid days when both sides of the range get tested before any meaningful breakout occurs, which often leads to whipsaws.
Risk Management Features
Dynamic Stops and Targets: All exit levels scale with the opening range size, ensuring risk/reward remains consistent regardless of daily volatility. A 100-tick range day will have proportionally smaller stops than a 300-tick range day.
Position Sizing: Configure contract amounts for each position tier based on account size and risk tolerance.
Daily Trade Limits: Prevents overtrading by limiting trades per direction per day.
Breakout Offset: The tick offset from range boundaries is crucial - too small creates false signals, too large misses good moves. Test different values based on your instrument's typical noise levels.
Advanced Features
Large Third Target: Set Target 3 to 300-500% to essentially hold runners indefinitely, using the trailing stop as the primary exit method for capturing extended trends.
Fade Trading: On large range days, the strategy can trade mean reversion when initial breakouts fail, often providing good counter-trend opportunities.
Time-Based Exits: All positions close at the end of the trading window, preventing overnight risk.
Strategy Properties Used
Initial Capital: $5,000 (realistic for micro contract trading)
Commission: $0.50 per contract (realistic retail rates)
Position Size: 100% of equity (manages risk through contract quantities and stop placement)
Default quantities: 3/1/1 contracts across the three positions
The default settings assume larger account sizes or proprietary trading firm accounts where higher risk tolerance is acceptable. With MNQ at $0.50 per tick, a typical 200-tick opening range with 75% stop loss (150 ticks) would risk $375 on a 5-contract position. For smaller retail accounts, consider reducing position sizes significantly - using only Position 1 (3 contracts) would risk $225, or even reducing to 1-2 total contracts to maintain appropriate risk levels relative to account size.
Getting Started Apply the strategy to your preferred instrument
Adjust the opening range time and duration for your market
Set appropriate breakout offset based on typical noise levels
Configure large range threshold based on your risk tolerance
Test filter combinations to find what works best for your trading style
Adjust contract quantities based on your account size and risk management rules
The strategy works best on liquid instruments with clear opening sessions and sufficient volatility to generate meaningful ranges. Results will vary significantly based on market conditions, parameter settings, and the specific instrument traded.
I warrant that the information created and published by by me here on TradingView is not prohibited, doesn't constitute investment advice, and isn't created solely for qualified investors.
TL Breakout + SR + Pro Logic [STRATEGY v8.5] IndicatorEdge By SGTired of chasing false breakouts and trading low-quality reversal signals? The TL Breakout Pattern Score Pro is a definitive, institutional-grade trading strategy that combines dynamic trendline analysis with a powerful candlestick scoring engine.
This is not just another breakout indicator. It is a complete, backtestable system designed to identify a high-probability breakout, wait patiently for a retest of the broken structure, and only then enter a trade if confirmed by a high-scoring candlestick pattern. It’s a systematic approach built for discipline, precision, and robust risk management.
Key Features
🛡️ Dual Analysis Modes: Switch between two powerful analysis methods with a single click:
Diagonal Trendlines: Automatically draws and extends swing-based trendlines, identifies the breakout, and creates a "retest zone."
Horizontal S/R Channels: Identifies classic support and resistance channels based on a defined lookback period, trading breakouts and retests of these key horizontal levels.
🔟 Dynamic Pattern Scoring Engine: This is the "Pro Logic." The strategy doesn't just find patterns; it scores them. It quantifies the strength of reversal patterns like the Engulfing, Morning/Evening Star, and Hammer. A trade is only triggered if the pattern's score meets your minimum threshold.
⚙️ Professional Risk & Trade Management:
Risk-Based Position Sizing: Automatically calculates the correct position size for every trade based on your chosen risk percentage and the stop loss distance.
Partial Take Profits: Secures profits at a primary target (TP1) while leaving the rest of the position to run.
Move to Breakeven & Trailing Stop: After TP1 is hit, the stop loss is moved to breakeven, and an intelligent ATR-based trailing stop activates to lock in gains as the trend continues.
🚦 Intelligent Market Filters: The strategy is designed to stay flat in poor conditions.
BBW Squeeze Filter: Avoids entries during periods of low-volatility consolidation.
ATR Volatility Filter: Ensures the market has enough movement to be worth trading.
Volume & EMA Trend Filters: Confirms that volume and the long-term trend are in your favor before committing to a trade.
📊 The "Story" Dashboard: The on-screen dashboard tells you everything you need to know in a single glance: Is the market tradable? What is the current pattern score? How is the backtest performing (Net Profit, Profit Factor, Win Rate)?
How the Strategy Works: The 4-Step Logic
This strategy is built on a patient, four-step process:
Structure Break: The system first identifies a valid breakout of either a diagonal trendline or a horizontal support/resistance level.
Wait for Retest: Instead of chasing the breakout, it creates a "retest zone" around the broken structure and patiently waits for price to return.
Pattern Confirmation: When price enters the retest zone, the strategy activates its pattern scoring engine. It looks for a high-quality, high-scoring reversal pattern that confirms the retest is holding.
Execute & Manage: Only if the pattern score is high enough, the strategy enters a trade with a pre-calculated position size, stop loss, and multiple take-profit targets.
How to Use This Strategy
Select Analysis Mode: Choose between "Diagonal Trendlines" or "Horizontal S/R Channels" based on the current market structure.
Backtest: Use the Strategy Tester to analyze the performance on your preferred asset and timeframe. This is a powerful tool for understanding the strategy's historical behavior.
Review the Dashboard: The dashboard provides real-time feedback on the market conditions and pattern strength. A green "ACTIVE" status and a high pattern score are ideal.
Adjust Risk: The most important setting is your "Risk % Per Trade." Adjust this according to your personal risk tolerance.
Disclaimer: This tool is for educational and analytical purposes only. All trading involves substantial risk, and the author, IndicatorEdge By SG, is not liable for any financial losses incurred. Past performance and backtest results are not indicative of future results. Please trade responsibly.
No Wick Strategy (No-wick candles) — by Sh1n1gam1**No Wick Strategy - Momentum Trading System**
This strategy identifies and trades "no wick" or "minimal wick" candles, which often indicate strong directional momentum and conviction in the market.
**STRATEGY CONCEPT:**
The No Wick Strategy capitalizes on candles that show strong directional commitment - bullish candles with little to no bottom wick (buyers in control from the start) and bearish candles with little to no top wick (sellers dominating from the open).
**HOW IT WORKS:**
📈 **LONG ENTRIES:**
- Identifies bullish candles with minimal/no bottom wick
- Places buy limit order slightly below the signal candle's open
- Enters only during specified trading session
📉 **SHORT ENTRIES:**
- Identifies bearish candles with minimal/no top wick
- Places sell limit order slightly above the signal candle's close
- Enters only during specified trading session
**KEY FEATURES:**
✅ Customizable trading session (New York timezone)
✅ Flexible wick threshold (0% for strict, up to X% for flexibility)
✅ ATR-based stop loss for dynamic risk management
✅ Configurable risk-reward ratio via TP multiplier
✅ Auto-cancellation of unfilled orders after X bars
✅ Body size filters (minimum and maximum)
✅ Visual signals and pending order levels
✅ Position status display
**RISK MANAGEMENT:**
- Stop Loss: Based on ATR multiplier
- Take Profit: Multiple of stop loss distance
- One position at a time
- No pyramiding or position flipping
**RECOMMENDED TIMEFRAMES:**
- M1 and M5 for scalping
- M15 and H1 for day trading
- H4 and Daily for swing trading
**MARKETS:**
Suitable for forex pairs, indices (NQ, ES), commodities, and liquid stocks.
**DEFAULT SETTINGS:**
- Trading Session: 09:30-11:00 ET (NY morning session)
- ATR SL Multiplier: 1.5
- TP Multiplier: 2.0 (2:1 RR ratio)
- Wick Threshold: 5%
- Order Cancellation: 5 bars
**TIPS FOR OPTIMIZATION:**
1. Adjust trading session to match your market's most active hours
2. Test different wick thresholds (0-10%) based on market volatility
3. Optimize body size filters for your specific instrument
4. Backtest different ATR multipliers for your risk tolerance
5. Consider market conditions - works best in trending markets
**IMPORTANT NOTES:**
- Uses limit orders for better entry prices
- Does not close opposing positions (no position flipping)
- Respects trading session boundaries strictly
- All times are in America/New_York timezone
**AUTHOR:** Sh1n1gam1
**VERSION:** 1.0
**SUPPORT:** Comments and suggestions welcome!
Happy Trading! 📊
