Priceactionanalysis — Penunjuk dan Strategi

R3df00x Smart S/R Strategy R3df00x Smart Support/Resistance Strategy. Elevate your trading with AI-powered Support/Resistance detection combined with SuperTrend trend-following signals. This advanced strategy combines: i-> Dynamic Support/Resistance Detection: Identifies key price levels using pivot points. ii-> SuperTrend Indicator: Flags trend direction with visual alerts. iii-> Smart Entry System: Triggers trades only at confirmed S/R touches with trend. confirmation iv-> Risk Management: Customizable stop loss and take profit systems. v-> Perfect for stocks, forex, and crypto trading across multiple timeframes. 🔧 Input Parameters Group Parameter Description Default Core Settings ATR Period Volatility measurement period 11 ATR Multiplier SuperTrend sensitivity 1.192 Risk Management Stop Loss Type ATR or Percentage based ATR Stop Loss Value Risk per trade (1.5 = 1.5% or 1.5x ATR) 1.5 S/R Detection S/R Lookback Levels to remember 20 S/R Sensitivity Pivot point sensitivity 3 Touch Threshold Price proximity to S/R (%) 0.5% 📈 Strategy Logic Entry Conditions: graph TD A --> B B --> C D --> E E --> F Exit Conditions: ATR/Percentage-based stop loss. Optional take profit. Auto-exit on trend reversal. ⭐ Key Features 1. Smart S/R Identification. i-> Automatically detects significant support/resistance levels. ii-> Plots dynamic dashed lines for visual reference. iii-> Highlights touch events with colored backgrounds. 2. Dual Confirmation System. i-> Requires both S/R touch AND SuperTrend reversal. ii-> Reduces false signals by 60% compared to basic systems. 3. Visual Trading Aids. i-> CALL/PUT entry labels. ii-> SuperTrend color-coded trend. iii-> Touch highlight zones. 4. Customizable Risk. i-> Choose between ATR or Percentage stops. ii-> Adjustable stop loss/take profit ratios. iii-> Position sizing control. 👍 Pros 1. High-Probability Setups: Combines two powerful technical concepts. 2. Clear Visual Signals: Easy-to-spot entries on chart. 3. Adaptive to Markets: Works on stocks, forex, and crypto. 4. Risk Control: Built-in stop loss management. 5. Non-Repainting: Signals confirmed at bar close. 6. Multi-Timeframe: Effective from 15min to daily charts. 👎 Cons 1. Whipsaw Risk: In choppy markets (use higher timeframes to mitigate). 2. Lagging Indicator: SuperTrend reacts after price movement. 3. Requires Confirmation: Best combined with volume analysis. 4. S/R Sensitivity: Needs parameter tuning for different assets. 💡 Recommended Settings Market Timeframe ATR Period S/R Lookback Stocks 1H-4H 14 30 Forex 15M-1H 11 20 Crypto 30M-4H 7 50 ⚠️ Risk Disclaimer. "Past performance is not indicative of future results. Always test strategies in a demo account before live trading. This strategy doesn't guarantee profits and may result in losses. The developer is not responsible for any trading decisions made using this indicator." 👉 Get this powerful S/R strategy today and trade with institutional-level technical analysis!

Price-Volume w Trendline - Strategy [presentTrading]█ Introduction and How it is Different The Price-Volume with Trendline Strategy is an innovative strategy that combines volume profile analysis, price-based Z-scores, and dynamic trendline filtering to identify optimal entry and exit points in the market. What sets this strategy apart is the integration of volume concentration (Point of Control or PoC) with dynamic volatility thresholds. Additionally, this strategy introduces a multi-step take profit (TP) mechanism that adjusts based on predefined levels, allowing traders to exit trades progressively while capitalizing on market momentum. BTCUSD 6hr LS Performance █ Strategy, How it Works: Detailed Explanation The combination of multiple indicators and methodologies serves to create a more robust and reliable trading system. Each element is carefully chosen for its complementary role in providing accurate signals while minimizing false entries and exits. Here’s why the different components were chosen and how they work together: - PoC and Z-Scores: The volume profile identifies key price areas, while the Z-score measures deviations from the mean. Together, they highlight points where the market is likely to react. For example, when the Z-score indicates an oversold condition near a PoC support level, it increases the probability of a reversal, providing a clear entry signal. - Trendlines and Z-Scores: Trendlines serve as a secondary filter to ensure that price deviations identified by Z-scores align with broader market trends. This ensures that trades are only entered when the price has both deviated from its average and broken through a significant trendline level, reducing the likelihood of false signals. - Multi-Step TP and Risk Management: Finally, the multi-step take profit logic works in tandem with the entry signals generated by the PoC, Z-scores, and trendlines. As the price moves in favor of the trade, profits are gradually locked in, ensuring the trader captures gains while still leaving room for further upside. 🔶 Point of Control (PoC) and Volume Profile Analysis The PoC identifies the price level with the highest volume concentration within a specified lookback period. This price level represents where the most trading activity has occurred, often acting as a strong support or resistance. By breaking down the range into several rows (bins), the strategy identifies how much volume was traded at each price level. 🔶 Z-Score Calculation The Z-score is a statistical metric that measures how far the current price is from its mean, expressed in terms of standard deviations. This is calculated both for price deviation and PoC-based deviation. 🔶 Trendline Breakout Filtering The trendline filtering is a crucial aspect that refines entry signals by confirming trend continuation or reversals. It calculates trendlines based on pivot highs and lows using the selected method (e.g., ATR or standard deviation). 🔶 Multi-Step Take Profit The multi-step take profit mechanism allows the strategy to take partial profits at several predefined levels. For example, when the price reaches 3%, 8%, 14%, or 21% above (or below) the entry price, it exits portions of the position. This is a useful technique for locking in profits as the market moves favorably. Local █ Usage The Price-Volume with Trendline Strategy can be applied to various asset classes, including stocks, cryptocurrencies, and commodities. It is particularly effective in volatile markets where price deviations and volume concentrations signal potential reversals or trend continuations. By adjusting the settings for volatility and the lookback period, this strategy can be tailored to both short-term intraday trades and longer-term swing trades. █ Default Settings The default settings in the strategy play a vital role in shaping its performance. - POC_lookbackLength (144): This defines the number of bars used to calculate the PoC. A longer lookback captures more data, leading to a more stable PoC, but may result in delayed signals. A shorter lookback increases responsiveness but may introduce noise. - priceDeviationLength (200): This determines the period for calculating the standard deviation of price. A higher length smooths out the volatility, reducing the likelihood of false signals. Shorter lengths make the strategy more sensitive to sudden price movements. - TL_length (14): Controls the swing detection period for trendline calculation. A shorter length will generate more frequent trendline breakouts, while a longer length captures only significant moves. - Stop Loss and Take Profit: The strategy offers both fixed and SuperTrend-based stop losses. SuperTrend is adaptive to volatility, while fixed stop losses provide simpler risk control. The multi-step take profit ensures that profits are secured progressively, which can improve performance in trending markets by reducing the risk of full reversals. Each of these settings can significantly affect the strategy’s risk-reward balance. For instance, increasing the stop loss level or the take profit percentages allows the strategy to stay in trades longer, potentially increasing profit per trade but at the cost of larger drawdowns. Conversely, tighter stops and smaller profit targets result in more frequent trades with lower average profit per trade.

FVG Strategy - Fair Value Gap The Fair Value Gap Strategy (FVG) is a trading approach that relies on price action analysis and involves identifying market inefficiencies or imbalances. The strategy offers a variety of customizable settings to match your preferences and includes an entry and exit strategy to guide you through trades. The script operates in the following manner: It begins by searching for fair-value-gaps and subsequently identifies a break in structure. The next step involves waiting for the price to retrace within the previously established fair value gap. Within this gap, there is a Fibonacci retracement that must be reached before placing a stop-order. Example: GER40, 1min Chart STOP LOSS & RISK MANAGEMENT FVG : The stop loss will be set at the end of the fair value gap Last Swing : The stop loss will be at the last swing high/low ATR (Average True Range) : The stop loss will be placed one 'Average True Range' away from the entry TAKE PROFIT Pips/Points : The stop loss will be set at the chosen amount of pips/points. RiskReward TP : This is a fixed take profit where you can set a specific risk-to-reward ratio for the trade. For example, you can set a 1:3 risk-to-reward ratio. Trailing Stop : This is a flexible stop that moves with the market price, allowing you to capture more profit as the trade moves in your favor. Both : This option combines both the RiskReward TP and Trailing Stop. If the price target is set at a 1:3 risk-to-reward ratio, the trailing stop will move with the price until either the stop or take profit is reached, and the position will be closed completely. THE FVG SECTION In the FVG section, you will have the ability to customize your settings based on your specific requirements. Firstly, you will have the choice of two possible entry options: Candle Close : This option triggers the order once the candle has completely closed and all the set requirements are met. Stop Orders : This option triggers the order once all the set requirements are met, even if the candle is still active and has not yet closed. On top, you can activate the "Pinbar-Trading", that will allow you to take a trade on a pinbar, even when the candle just dipped into the FVG and snapped back. FAIR VALUE GAP TYPE On volatile market, it may happen that a massive FVG is created. Thats why we have separated the FVG into 2 different variables. FVG Type: Normal : This is all regular FVG that meet the requirement of you minimum size range. As example FVG must be minimum 5$ big. FVG Type: Big : This are all big FVG that meet the minimum set size range. The difference to the "normal" type, the stop loss will be set at 50% of the Big-FVG. FIBONACCI RETRACEMENT & MARKET STRUCTURE To refine the FVG strategy, you have three options: Fibonacci Retracement Value (%) : The FVG strategy employs a Fibonacci retracement, which allows you to trade in the direction of the market movement. To initiate the order, the price must reach a predetermined Fibonacci level and then rebound. Formation-to-Retracement Countdown: : This option provides you with a specified number of candles to meet the necessary conditions. For example, if the order is not triggered within 20 candles, delete the FVG-Zone and skip the trade to avoid getting caught in a sideways ranging trend. Structure Lookback : This feature filters out older FVG Zones. You can specify the number of candles that should mark the FVG Zones. Keep in mind that newer and fresher zones will automatically conceal older ones.

Bitcoin 30m Swing Trader Long/Short Strategy Intro I want to share the results of my passionate hobby and the unstoppable chase for a profitable automated trading strategy. It has been created with the intention of trading only Bitcoin. Altcoins are not interesting for me, as I have discovered lots of issues with finding the right parameter values for experiencing a good performance. As altcoins typically follow the trend of bitcoin and characteristically have a high volatility that may cause stop-hunts, I decided to not over complicate this project. I was just aiming for a profitable trading strategy with an acceptable drawdown and enough confidence by a statistically significant number of trades beside a wide backtesting timespan (credits going out to TradingView: Deep Backtesting). Total time spent on this is approximately 2 years. Indicators used RSI: Used for entries and trend reversal spots MACD: Used for entry and exit optimiziation ATR: Used for dynamic offsets in trend definition indicator Custom trend indicator: Self-made indicator, based on simple price action of higher timeframes using pivot points to find support and resistance zones that have formerly been created Strategy parameters I have reduced the total parameters used to just a few. It took lots of working hours to find appropriate values along the trading algorithm and I don’t want to overcomplicate it to you. This strategy is for those, who have been looking for a working strategy. No DIY kit. Feel free to adapt Take profit or stop loss targets. But it’s not recommended to do so. How it works Entries: I started with a kind of template that I have been using for strategies for a long time. This includes how to find the right Entries during a trend as well as spotting trend reverse opportunities. Here I combine simple indicators like RSI and MACD beside necessary trend conditions. If a target RSI Value is hit, it will enter a trade, after MACD histogram has stopped to fall/rise. Depends on long/short. While we are in a trade and trend reversed, it waits for a specific RSI target level to be hit, to reverse the trade. As simple as it is, it closes the open one and starts a trade in other direction. Micro trend: It starts to get more interesting when it comes to trend recognition, as it forms the core of the strategy and discovering appropriate values for it has been very hard. The final trend variable is defined by the responses over higher timeframes of my self-made trend indicator. Executed on the current timeframe, the trend indicator is quite interesting. But for a automated trading strategy it is necessary to deviate trading instructions from higher timeframes trends. Macro trend: The same process that happens for micro trend is also applied with much higher timeframes, like 3D or weekly. The basic assumption is, that if we are in a bull or bear run, where retail investors are flooding the markets, we are increasing our take profit targets respectively. This way we can catch bigger moves in bigger trends. Exits: Closing a trade generally happens when a TP target (in %) is hit, or the SL (in %) is hit. The strategy has a special treatment with SL’s. After it happens, the strategy is more careful about market conditions and typically waits for a countertrade. The third way of closing a trade has already been mentioned: the reverse trades. They happen during choppy market conditions. The strategy has also special awareness here and tracks, if reverse trades start to happen more often. After a while, it starts to be more restrictive in opening new reverse trades. Performance Capabilities and limitations: As I have already mentioned the strategy is only optimized for bitcoin (Perpetual Futures). This does not mean, it can not be used on other markets, because the algorithm itself is universal appliable. A very hard task was about finding the right parameter values for the strategy performing like this. If you have a special wish to configure this strategy for a specific market, DM me. The strategy has been tested with different configurations on the following timeframes: 30, 15, 10, 5, 1. I have decided to publish the one for 30m TF, because its performance simply convinced me. Repainting: It has been tested lots of times against repainting. Confidence: The total backtesting performance reaches out to 2019-09-08. So the strategy has been managing to be successful since then, but this does not guarantee that the logic, this strategy follows, is going to continue this level in future. Commission: The algorithm is configured with 0.04% commission per trade, as it is on Binance (for Future Market orders). Ordersize: Its totally up to you, how much of your total equity should be traded. Nevertheless, I would personally recommend to not exceed 50% ordersize of your equity with this strategy. In the past, you would have had great performance beside a drawdown, that was from psychological point of view good to handle with. This strategy additionally uses STOP LOSSES, so you can never loose you whole ordersize at one trade. Slippage: You also must consider about getting slipped when trading this strategy on live markets. Statistically one could assume, that the slippage could be neutral, as it can be both positive or negative. It depends on your execution time, the exchange, on which you are executing trades and market conditions. But keep it in mind, as if you have too much slippage, this strategy would be unprofitable.

Swing Index System - Heiken Ashi Pivot Breakout Strategy For Educational Purposes. Results can differ on different markets and can fail at any time. Profit is not guaranteed. This only works in a few markets and in certain situations. Changing the settings can give better or worse results for other markets. This is a breakout strategy that uses the heiken ashi bars to find the support and resistance levels or the swing pivots to try to objectively find a breakout. When the price breaks out of a swing pivot, breakout can be confirmed and a strategy can be made. The trade exits as soon as in profit when the heiken ashi bar changes color, when the price swings start to slow down, or when the price breaks below a swing pivot. There might be many strategies and possible ideas that can be made just from knowing where the swing pivots are alone. For this one, I decided to try to emulate Wilder's Adam Theory approach by entering only a specific criteria when it makes new highs or lows that I experimented with. The Swing Index System seems to be similar to what he describes in his book (or perhaps it is the same thing). Some say that price is the ultimate indicator, but not many really know what that really means. This is yet another approach to try to interpret what that means. This strategy only contains a piece of the complete breakout and trend strategy approach of the Adam Theory and won't be profitable in every market under every situation. This does not include price patterns that the Swing Index System is said to be able to find such as chart patterns, wedges, tops/bottoms, etc. This only includes the small breakout portion requirement in the book. I included specific entry and exit criteria to make the strategy work well that involves nothing but the price action of the swing points only due to the lack of the other missing pieces. It does not contain the missing pieces. Despite this, it can still help find where breakouts might be in an objective matter using the Swing Index System as a standalone trading system and it doesn't involve lookbacks or anything but price alone.