Profittarget — Penunjuk dan Strategi

Profitability Visualization with Bid-Ask Spread Approximation Overview The " Profitability Visualization with Bid-Ask Spread Approximation " indicator is designed to assist traders in assessing potential profit and loss targets in relation to the current market price or a simulated entry price. It provides flexibility by allowing users to choose between two methods for calculating the offset from the current price: Bid-Ask Spread Approximation: The indicator attempts to estimate the bid-ask spread by using the highest (high) and lowest (low) prices within a given period (typically the current bar or a user-defined timeframe) as proxies for the ask and bid prices, respectively. This method provides a dynamic offset that adapts to market volatility. Percentage Offset: Alternatively, users can specify a fixed percentage offset from the current price. This method offers a consistent offset regardless of market conditions. Key Features Dual Offset Calculation Methods: Choose between a dynamic bid-ask spread approximation or a fixed percentage offset to tailor the indicator to your trading style and market analysis. Entry Price Consideration: The indicator can simulate an entry price at the beginning of each trading session (or the first bar on the chart if no sessions are defined). This feature enables a more realistic visualization of potential profit and loss levels based on a hypothetical entry point. Profit and Loss Targets: When the entry price consideration is enabled, the indicator plots profit target (green) and loss target (red) lines. These lines represent the price levels at which a trade entered at the simulated entry price would achieve a profit or incur a loss equivalent to the calculated offset amount. Offset Visualization: Regardless of whether the entry price is considered, the indicator always displays upper (aqua) and lower (fuchsia) offset lines. These lines represent the calculated offset levels based on the chosen method (bid-ask approximation or percentage offset). Customization: Users can adjust the percentage offset, toggle the bid-ask approximation and entry price consideration, and customize the appearance of the lines through the indicator's settings. Inputs useBidAskApproximation A boolean (checkbox) input that determines whether to use the bid-ask spread approximation (true) or the percentage offset (false). Default is false. percentageOffset A float input that allows users to specify the percentage offset to be used when useBidAskApproximation is false. The default value is 0.63. considerEntryPrice A boolean input that enables the consideration of a simulated entry price for calculating and displaying profit and loss targets. Default is true. Calculations Bid-Ask Approximation (if enabled): bidApprox = request.security(syminfo.tickerid, timeframe.period, low) Approximates the bid price using the lowest price (low) of the current period. askApprox = request.security(syminfo.tickerid, timeframe.period, high) Approximates the ask price using the highest price (high) of the current period. spreadApprox = askApprox - bidApprox Calculates the approximate spread. Offset Amount: offsetAmount = useBidAskApproximation ? spreadApprox / 2 : close * (percentageOffset / 100) Determines the offset amount based on the selected method. If useBidAskApproximation is true, the offset is half of the approximated spread; otherwise, it's the current closing price (close) multiplied by the percentageOffset. Entry Price (if enabled): var entryPrice = 0.0 Initializes a variable to store the entry price. if considerEntryPrice Checks if entry price consideration is enabled. if barstate.isnew Checks if the current bar is the first bar of a new session. entryPrice := close Sets the entryPrice to the closing price of the first bar of the session. Profit and Loss Targets (if entry price is considered): profitTarget = entryPrice + offsetAmount Calculates the profit target price level. lossTarget = entryPrice - offsetAmount Calculates the loss target price level. Plotting Profit Target Line: Plotted in green (color.green) with a dashed line style (plot.style_linebr) and increased linewidth (linewidth=2) when considerEntryPrice is true. Loss Target Line: Plotted in red (color.red) with a dashed line style (plot.style_linebr) and increased linewidth (linewidth=2) when considerEntryPrice is true. Upper Offset Line: Always plotted in aqua (color.aqua) to show the offset level above the current price. Lower Offset Line: Always plotted in fuchsia (color.fuchsia) to show the offset level below the current price. Limitations Approximation: The bid-ask spread approximation is based on high and low prices and may not perfectly reflect the actual bid-ask spread of a specific broker, especially during periods of high volatility or low liquidity. Simplified Entry: The entry price simulation is basic and assumes entry at the beginning of each session. It does not account for specific entry signals or order types. No Order Execution: This indicator is purely for visualization and does not execute any trades. Data Discrepancies: The high and low values used for approximation might not always align with real-time bid and ask prices due to differences in data aggregation and timing between TradingView and various brokers. Disclaimer This indicator is for educational and informational purposes only and should not be considered financial advice. Trading involves substantial risk, and past performance is not indicative of future results. Always conduct thorough research and consider your own risk tolerance before making any trading decisions. It is recommended to combine this indicator with other technical analysis tools and a well-defined trading strategy.

Pivot Profit Target [Mxwll]Introducing the Pivot Profit Target! This script identifies recent pivot highs/lows and calculates the expected minimum distance for the next pivot, which acts as an approximate profit target. The image above details the indicator's output. The image above shows a table consisting of projection statistics. How to use The Pivot Profit Targets can be used to approximate a profit target for your trade. Identify where your entry is relative to the most recent pivot, and assess whether the minimum expected distance for the most recent pivot has been exceeded. Treat the zones as an approximation. If your trade aligns with the most recent pivot - treat the minimum expected distance zone as a potential profit target area. Of course, price might stop short or continue beyond the projection area! That's it! Just a short and sweet script; thank you!

Risk Assist As the profit level increases, the amount of profit taking required to avoid risk asymptotically reaches zero. This indicator displays the % of the established position required to exit in order to ensure the trade is not a loss if the stop is hit. Values in green (at or below 100%) indicate a winning position. Values in red (above 100%) indicate a losing position. Alert Examples: If you are intent on "selling half" to avoid risk, you can set an alert on the value of this indicator for 50. If you are intent on "selling a 3rd" to avoid risk, you can set an alert on the value of this indicator for 33.3.

Fear Of Missing Out grid of forex trading Abstract This script finds potential safe grids placing limit orders without fear of missing out. This script computes grids according to power of 1.0025 . You can reference those price levels for your trading. Introduction Grid trading is a popular trading method. Traders plan several price levels as grids and repeat buying at lower grids and selling at higher grids. Grids can be round number like multiple of 100 pips. Grids can also be support and resistance according to price history. Some traders may think they need to adjust grids to trade. However, there are several problems in choosing grids. One problem is rate of change is related and therefore exponential. 20 to 30 is different from 30 to 40. Another interesting point is there are some special impressing reversal price levels. Several months ago, I had a question why usdjpy bounced near 108.3 . After using a calculator, I found that 108.3 = 100 * 1.083 ≒ 100 * pow(1.0025,31) . 1.0025 , as known as 0.25% of change, is a potential stop out zone. Therefore, we can compute grids and one grid is a little more than 1.0025 times than an another one. After we finished computing grids, we can consider buy and sell near those grids. Note that different traders may obtain different grid values. For example, from 1.0 to 2.0 , it can be splited as 270 grids or 277 grids because pow(1.0025,277)<2 . Those grids cannot always imply potential reversal points but they can be useful for traders looking for 0.25% profit targets with reducing fearing of buying or selling too early. Computing grids This script split from 1.0 to 10.0 into three segments. One is 1.0 to 2.0 . The second segment is from 2.0 to 5.0 . The third segment is from 5.0 to 10.0 . This script does the same thing for 0.1 to 1.0 , 10.0 to 100.0 , and so on. For 1.0 to 2.0 and 5.0 to 10.0 , this script split a segment as 270 grids. For 2.0 to 5.0 , this script split a segment as 360 grids. The last step is display the next grids to the daily low and daily high. Maybe also display the grids behind grids shown. Parameters x1,x2,x3,x4 : display the next x1,x2,x3,x4 grids to daily high and daily low. 1 means the next grid to daily high and daily low. 2 means the next grid to 1. x_seg : default 2.0 . This script split from 1.0 to 10.0 into three segments. One is 1.0 to x_seg. The second segment is from x_seg to 10.0/x_seg . The third segment is from 10.0/x_seg to 10.0 . x_grid1 : how many grids in the first segment x_grid2 : how many grids in the second segment x_lowprice : add this number for bigger grid distance. Generally, you don't need this number when trading forex but you may need it in stock trading. For stocks with price between 50 to 100, I recommend you use x_lowprice=100. Conclusion and suggestions This script can find potential grids for trading. If price touches grids usually, we can consider buy and sell after price touches grids. If price reverses before touching grids usually, we may consider buy and sell before price touches grids. Those grids can remind us don't buy too much unless the price touches the next grid. For instruments with less volatility, maybe we need more grids. For traders with more money, they may also consider more grids for more dedicated range trading to collect more profit. Reference Sorry, I forgot them.

Position Size Calculator w/ profit targets This script helps the user visualize profit targets and calculates position size based on the input risk amount. Input variables: - Risk amount - Entry price - Stop loss amount - Profit target amount Calculated variables: - Profit loss ratio - Position size - Postion cost Plotted variables: - shaded: entry price --> price target (green filled) - shaded: entry price --> stop loss target (red filled) - 1:1 p/l ratio --> yellow line - 2:1, 3:1, 4:1 p/l ratios --> green lines Overlay text can be toggled on/off in parameter input section

GMS: Mean Reversion Strategy This is based on my GMS: Mean Reversion Indicator () Features: - % Based Profit Target and Stop Loss - SMA Trend Filter - Can choose trade exit based off a moving average or linear regression curve - Filter for long only trades, short only trades, or both at the same time. Source code is open, so feel free to take a look! I hope it helps, Andre

HARD Top/Bottom Seeker Same settings used on all timeframes, all graphs, no tuning done at all (apart from simply choosing the timeframe). PM for buying/renting the script. The rented script will be a copy of this logic, but an indicator and have alert conditions added on the S and B (orange and green). Written in pinescript v3, no repainting, no TSL abuse, etc. Works pretty well on all crypto, but does produce early signals, thus you may exit before the trend has ended. Works especially good when 2 or more timeframes all giving the signal in the same price/time region. Suggested timeframes: 5 mins, 1 hr, 3 hrs, 6 hrs, 12 hrs, 1 day. Disclaimer: better examples selected here, the script DOES produce worse, EARLY/false positive signals, especially when a stronger trend is happening on the bigger timeframe than the script is used (to see those worse signals you can just move the graphs back in this publication).