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Hulk Grid Algorithm V2 - The Quant ScienceIt's the latest proprietary grid algorithm developed by our team. This software represents a clearer and more comprehensive modernization of the deprecated Hulk Grid Algorithm. In this new release, we have optimized the source code architecture and investment logic, which we will describe in detail below. Overview Hulk Grid Algorithm V2 is designed to optimize returns in sideways market conditions. In this scenario, the algorithm divides purchases with long orders at each level of the grid. Unlike a typical grid algorithm, this version applies an anti-martingale model to mitigate volatility and optimize the average entry price. Starting from the lower level, the purchase quantity is increased at each new subsequent level until reaching the upper level. The initial quantity of the first order is fixed at 0.50% of the initial capital. With each new order, the initial quantity is multiplied by a value equal to the current grid level (where 1 is the lower level and 10 is the upper level). Example: Let's say we have an initial capital of $10,000. The initial capital for the first order would be $50 * 1 = $50, for the second order $50 * 2 = $100, for the third order $50 * 3 = $150, and so on until reaching the upper level. All previously opened orders are closed using a percentage-based stop-loss and take-profit, calculated based on the extremes of the grid. Set Up As mentioned earlier, the user's goal is to analyze this strategy in markets with a lack of trend, also known as sideways markets. After identifying a price range within which the asset tends to move, the user can choose to create the grid by placing the starting price at the center of the range. This way, they can consider trading the asset, if the backtesting generates a return greater than the Buy & Hold return. Grid Configuration To create the grid, it's sufficient to choose the starting price during the launch phase. This level will be the center of the grid from which the upper and lower levels will be calculated. The grid levels are computed using an arithmetic method, adding and subtracting a configurable fixed amount from the user interface (Grid Step $). Example: Let's imagine choosing 1000 as the starting price and 50 as the Grid Step ($). The upper levels will be 1000, 1050, 1100, 1150, 1200. The lower levels will be 950, 900, 850, 800, and 750. Markets This software can be used in all markets: stocks, indices, commodities, cryptocurrencies, ETFs, Forex, etc. Application With this backtesting software, is possible to analyze the strategy and search for markets where it can generate better performance than Buy & Hold returns. There are no alerts or automatic investment mechanisms, and currently, the strategy can only be executed manually. Design Is possible to modify the grid style and customize colors by accessing the Properties section of the user interface.
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thequantscience tarafından
6
Simple RSI-MA Algo Beats DOW By Huge Margin Over Past 100 Years!This simple RSI-MA long/short algorithm beats the Dow by a FREAKING HUGE margin over the past century (excluding dividends and trading costs). The algorithm uses a fast SMA of the RSI as a buy/cover signal and a slow SMA of the RSI as a sell/short signal. Backtest period = 09/17/1916 - 11/02/2015 Dow = 98 --> 17,830 = +18,094% = 5.38% CAGR Algorithm = net profit + open P/L = +43,349% = 6.31% CAGR Notice how the algorithm dodged both the 30s' Great Depression and the 2008 Crisis. Pretty cool huh? :) ALGORITHM'S FORMULA (use weekly chart): Buy/Cover = MA10(RSI10) cross> 50 Sell/Short = MA50(RSI10) cross< 50 STRATEGY TESTER'S SETTINGS: - Initial cash = $10,000 - Pyramiding disabled - Re-investment enabled (order size = 100% of equity ) - Trade re-calculations disabled DISCLAIMER: None of my ideas and posts are investment advice. Past performance is not an indication of future results. This strategy was constructed with the benefit of hindsight and its future performance cannot be guaranteed.
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Stable_Camel tarafından
5
Murder Algo Stats: last portion of Indices closing hour (S&P)Stats regarding the 'murder algo' (last 10mins of the closing hour). Works on all sub-1hr timeframes. Best used on 5min, 10min 15min timeframe. Ideal use on 10min timeframe. Can be applied to other user input sessions also What i'm calling the 'Murder Algo' is the tendency of dynamic lower time frame price action in the final 10minutes of the S&P closing hour (or any of the three major US indices: S&P, Nasdaq, Dow). If there are un-met liquidity targets (i.e. clean highs or lows) as we come into the last portion of the closing hour, price has a tendency to stretch up or down to reach these targets, swiftly. These statisitics are somewhat experimental/research; trying to quantify this tendency. Please comment below if you think of some additions / modifications that may prove useful. //Purpose: -To get statistics of the tendency to 'reach' of the final bar (10minute bar in the above) of the closing hour in Indices (3pm - 4pm NY time). -Specifically to see how often price reaches for HH or LL in the final bar of the closing hour (most of the time); and to see how far it reaches one way when it does (Mean, median, mode). //Notes: -Two sets of historical stats; one is based on the 'solo reach' of the last bar; the other is based on the reach of the last bar from the average price of the preceding bars of the session (purple line in the above) -Works on any timeframe below hourly. Ideally used on 10min timeframe, but may be interesting to plot on 15min or 5min timeframe also. -Should also work on custom user-defined session; though this indicator was explicly designed to investigate the 'murder algo': that final rush and/or whipsaw tendency of price in the last few minutes of Regular trading on Indices. -For S&P, best used on SPX, which gives the longest history of all the S&P variants due to only showing Regular trading hours bars (500 days of history on 10min timeframe, for premium users) -For most stats, i've rounded to ES1! mintick (i.e. rounded to nearest quarter dollar) =>> This allows more meaningful values for 'mode' statistical measure. -I trade S&P; but this 'muder algo' phenomenon also obviously presents in Nasdaq and Dow. //User Inputs: -Session time input (defaults to closing hour 3pm - 4pm NY time) -Average method (for the average of all the input session EXCEPT the final bar) -Toggle on/off Average line. -other formatting options: text color, table position, line color/style/size. Example usage with annotations on SPX 500 chart 15m timeframe; using closing hour (3pm-4pm NY time) as our session:
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twingall tarafından
1
TV Community AlgoTV Community Algo is a free TradingView script that I designed from the ground to benefit the traders of this community. It has plenty of features that you will enjoy, and I have included documentation for how to use this below! Settings: Basic: Turn the Void Lines on or off Turn the Dashboard on or off Turn the Signal Bars on or off Turn the Support & Resistance Lines on or off Turn the EMA 8 and EMA 200 on or off Turn the Buy & Sell Signals on or off Turn the Fibonacci Retracement Tool on or off Style: Change the Dashboard's distance from the price action Change the Dashboard's Color and Transparency Change the Dashboard Text Color Change the Fibonacci Deviation Make the Fibonacci Retracement Tool reverse Make the Fibonacci Lines extend left, right, both directions, or none Turn Fibonacci Prices on or off Turn Fibonacci Levels on or off and change between percent or value Change Fibonacci Label Position from the left or the right Usage: This algo has many uses including but not limited to: Finding entries and exits using the EMA 8 and EMA 200 crossovers Using the Void Lines to identify bounces or reversals Using the Signal Bars to identify trend and confirmation for entries and exits Using the Dashboard information for confirmation and informational purposes In the images below, I give a few examples of the many uses of the TV Community Algo! VOID LINES The Void Lines are very helpful when it comes to identifying reversals. TV COMMUNITY ALGO DASHBOARD The Dashboard is filled with useful information that all traders can benefit from! SIGNAL BARS The colored candles known as Signal Bars inform you of when the price action is above or below the midpoint of the Void Lines. AUTO SUPPORT & RESISTANCE LINES These lines help traders find accurate levels of support & resistance on all time frames, and the lines change color depending on if the price is above or below them. EMA 8 AND 200 The EMA 8 and EMA 200 crossovers can be used as entry and exit signals. BUY & SELL SIGNALS The BUY & SELL signals can be used to find optimal entries and exits for trades on any time frame. Smaller time frames are best for scalping, while larger time frames are more suited for longer trades. When combined with the EMA lines and Dashboard information, these signals can produce incredibly profitable trades. AUTO FIBONACCI RETRACEMENT TOOL The Auto Fibonacci Retracement Tool allows you to plot perfect Fib Lines every time. Conclusion: I truly hope that the TV Community Algo benefits the TradingView community and that you all find some value in it. I worked very hard on this product and I would love to see it put to good use. with love, -Lemon 🍋 This work is licensed under a Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) creativecommons.org
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HomelessLemon tarafından
202
GRID SPOT TRADING ALGORITHM - GRID BOT TRADING STRATEGYGRID SPOT TRADING ALGORITHM : LONG ONLY STRATEGY OPEN SOURCE This is a long only strategy for spot assets. HOW IT WORKS Grid trading is a trading strategy where an investor creates a so-called "price grid". The basic idea of the strategy is to repeatedly buy at the pre-specified price and then wait for the price to rise above that level and then sell the position (and vice versa with shorting or hedging). FEATURES Grids: This algorithm has a total of 10 grids. Take profit: The trader can increase or decrease the distance between the grids from the User Interface panel, the distance between one grid and another represents the take profit. Management: The algorithm buys 10% of the capital every time the price breaks down a grid and sells during a rise to the next higher grid. The initial capital is invested in 10 sizes which represent 10% of the capital per trade. Stop Loss: The algorithm knows no stop loss as long as it is not activated from the User Interface panel. By activating the stop loss from the User Interface panel the algorithm will insert a close condition on all trades which will be calculated from the last lower grid. Trades: Trades are opened only if the price is within the grid. If the market leaves the grid the algorithm will not buy new positions or sell new positions. Optimal market conditions: The favorable market for this algorithm is the sideways market. LIMITATIONS OF THE MODEL The trader must take into account that this is a static model. It only works perfectly well if the market is in a sideways phase and incurs heavy losses if the market takes a downward trend. The model is unusable for an uptrend. The trader must therefore carefully analyze the market where he intends to use this strategy, making sure that the price is in a sideways phase. USES Indispensable research and backtesting tool for those using bots for their investments. The algorithm produces a backtesting of the strategy for past history. It is used by professional traders to understand if this strategy has been profitable on a market and what parameters to use for bots using this strategy (Kucoin, Binance etc.). If you would like to develop your own algorithm with customized conditions based on a grid strategy, please contact us. If you need help in using this tool, please contact us without hesitation.
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thequantscience tarafından
44
Forex Master v4.0 (EUR/USD Mean-Reversion Algorithm)DESCRIPTION Forex Master v4.0 is a mean-reversion algorithm currently optimized for trading the EUR/USD pair on the 5M chart interval. All indicator inputs use the period's closing price and all trades are executed at the open of the period following the period where the trade signal was generated. There are 3 main components that make up Forex Master v4.0: I. Trend Filter The algorithm uses a version of the ADX indicator as a trend filter to trade only in certain time periods where price is more likely to be range-bound (i.e., mean-reverting). This indicator is composed of a Fast ADX and a Slow ADX, both using the same look-back period of 50. However, the Fast ADX is smoothed with a 6-period EMA and the Slow ADX is smoothed with a 12-period EMA. When the Fast ADX is above the Slow ADX, the algorithm does not trade because this indicates that price is likelier to trend, which is bad for a mean-reversion system. Conversely, when the Fast ADX is below the Slow ADX, price is likelier to be ranging so this is the only time when the algorithm is allowed to trade. II. Bollinger Bands When allowed to trade by the Trend Filter, the algorithm uses the Bollinger Bands indicator to enter long and short positions. The Bolliger Bands indicator has a look-back period of 20 and a standard deviation of 1.5 for both upper and lower bands. When price crosses over the lower band, a Long Signal is generated and a long position is entered. When price crosses under the upper band, a Short Signal is generated and a short position is entered. III. Money Management Rule 1 - Each trade will use a limit order for a fixed quantity of 50,000 contracts (0.50 lot). The only exception is Rule Rule 2 - Order pyramiding is enabled and up to 10 consecutive orders of the same signal can be executed (for example: 14 consecutive Long Signals are generated over 8 hours and the algorithm sends in 10 different buy orders at various prices for a total of 350,000 contracts). Rule 3 - Every order will include a bracket with both TP and SL set at 50 pips (note: the algorithm only closes the current open position and does not enter the opposite trade once a TP or SL has been hit). Rule 4 - When a new opposite trade signal is generated, the algorithm sends in a larger order to close the current open position as well as open a new one (for example: 14 consecutive Long Signals are generated over 8 hours and the algorithm sends in 10 different buy orders at various prices for a total of 350,000 contracts. A Short Signal is generated shortly after the 14th Long Signal. The algorithm then sends in a sell order for 400,000 contracts to close the 350,000 contracts long position and open a new short position of 50,000 contracts).
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Stable_Camel tarafından
16
Position and Risk Calculator (for Indices) [dR-Algo]Position and Risk Calculator : Your Ultimate Risk Management Tool for Indices The difference between a novice and a seasoned trader often comes down to one essential element: risk management. While trading indices, the challenges are even more intense due to market volatility and leverage. The Position and Risk Calculator steps in here to bridge the gap, providing you with an efficient tool designed exclusively for indices trading. Key Features: User-Friendly Interface: Designed to integrate effortlessly with your TradingView chart, this tool's interface is intuitive and clutter-free. Dynamic Price Level Adjustment: Move your Entry, Stop Loss, and Take Profit levels directly on the chart for an interactive experience. Account Balance Input: Customize the tool to understand your unique financial situation by inputting your current account balance. Trade Risk Customization: Define how much you're willing to risk per trade, and the tool will do the rest. Automated Calculations: The indicator calculates the maximum monetary risk and translates it into the maximum lot size you can afford. It delivers a full-integer lot size to make your trading decisions easier. Comprehensive Risk Evaluation: Beyond lot sizes, it provides you with the Cost-to-Reward Ratio (CRV) of your trade, the actual monetary risk according to the calculated lot size, and the potential profit. How To Use: Once you add the Position and Risk Calculator to your TradingView chart, a new interactive panel appears. Here’s how it works: Set Price Levels: Using draggable lines on the chart, set your Entry Price, Stop Loss, and Take Profit levels. Account Details: Go to settings and enter your Account Balance and your desired risk percentage per trade. Automatic Calculations: As soon as the above details are set, the indicator goes to work. It first calculates your maximum risk in monetary terms and then translates that into the maximum lot size you can take for the trade. Review and Trade: The indicator shows you all the vital statistics - CRV of the trade, the money at risk according to the calculated lot size, and the possible profit. Why Choose This Tool? Informed Decisions: Your trading decisions will be based on concrete numbers, removing guesswork. Time-saving: No need for manual calculations or using separate tools; everything is in one place. Focus on Trading: By automating the risk management aspect, this tool allows you to focus more on your trading strategy and market analysis. Tailor-Made for Indices: Unlike many other tools that try to serve all markets, the Position and Risk Calculator is designed specifically for indices trading. Remember, effective risk management is what separates successful traders from those who burn out. The Position and Risk Calculator not only helps you define your risk but also helps you understand it, empowering you to trade with confidence. So why not give yourself the best chance of success? Add the Position and Risk Calculator to your TradingView setup and experience the difference it can make.
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dR-Algo tarafından
6
ISM Indicator As a Strategy Here's a very easy code, plotting the ISM against the SPX. In this exercise, i wanted to see if one could use the ISM indicator only to generate buy/sell signal, and what would be the performance. What is the ISM The ISM Manufacturing Index monitors employment, production inventories, new orders and supplier deliveries.By monitoring the ISM Manufacturing Index, investors are able to better understand national economic conditions. When this index is increasing, investors can assume that the stock markets should increase because of higher corporate profits. The opposite can be thought of the bond markets, which may decrease as the ISM Manufacturing Index increases because of sensitivity to potential inflation. Buy/Sell Signal ISM above 50 usually good economic condition and vice versa when below 50 . For this code I used 48.50 as my buy/sell signal line. Results To test this on a longer time period, I use the SPX index instead of SPY. The results are surprisingly good. 76.92% profitability with 3.03 profit factor. Conclusion Investors could use the ISM with other indicators to determine better entry and exit point. I will see if combining the ISM with other custom indicators , could generate better result. Feel free to share your results here. Cheers Algo.
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Algokid tarafından
4
AK TREND ID v1.00Hello, "Are we at the top yet ? "........ " Is it a good time to invest ? " ......." Should I buy or sell ? " These are the many questions I hear and get on the daily basis. 1000's of investors do not know when to go in and out of the market. Most of them rely on the opinion of "experts" on television to make their investment decisions. Bad idea.Taking a systematic approach when investing, could save you a lot of time and headache. If there was only a way to know when to get in and out of the market !! hmmmm. The good news is that there many ways to do that. The bad news is , are you disciplined enough to follow it ? I coded the AK_TREND ID specifically to identified trends in the SPX or SPY only . How does it work ? very simply , I simply plot the spread between the 3 month and 8 month moving average on the chart. If the spread > 0 @ month end = BUY if the spread < 0 @ month end = SELL The AK TREND ID is a LAGGING Indicator , so it will not get you in at the very bottom or get you out at the very top. I did a backtest on the SPX from 1984 to 7/2/2014 (yesterday), The rule was to buy only when the AK TREND ID was green. let's look at the result: 14 trades : 11 W 3 L , 78.75 % winning % Biggest winner (%) = 108 % Biggest loser (%) = -10.7 % Average Return = 27 % Total Return since 1984 = 351.3 % You can see the result in detail here : docs.google.com Although the backtesting results are good, the AK TREND ID is not to be used as a trading system. It is simply design to let you know when to invest and when to get out. I'm working a more accurate version of this Indicator , that will use both technical and fundamental data. In the mean time , I hope this will give some of you piece of mind, and eliminate emotions from your trading decision. Feel free to modify the code as you wish, but please share your finding with the rest of Trading View community. All the best Algo
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Algokid tarafından
35
Murrey Math The Murrey Math indicator is a set of horizontal price levels, calculated from an algorithm developed by stock trader T.J. Murray. The main concept behind Murrey Math is that prices tend to react and rotate at specific price levels. These levels are calculated by dividing the price range into fixed segments called "ranges", usually using a number of 8, 16, 32, 64, 128 or 256. Murrey Math levels are calculated as follows: 1. A particular price range is taken, for example, 128. 2. Divide the current price by the range (128 in this example). 3. The result is rounded to the nearest whole number. 4. Multiply that whole number by the original range (128). This results in the Murrey Math level closest to the current price. More Murrey levels are calculated and drawn by adding and subtracting multiples of the range to the initially calculated level. Traders use Murrey Math levels as areas of possible support and resistance as it is believed that prices tend to react and pivot at these levels. They are also used to identify price patterns and possible entry and exit points in trading. The Murrey Math indicator itself simply calculates and draws these horizontal levels on the price chart, allowing traders to easily visualize them and use them in their technical analysis. HOW TO USE THIS INDICATOR? To use the Murrey Math indicator effectively, here are some tips: 1. Choose the appropriate Murrey Math range : The Murrey Math range input (128 by default in the provided code) determines the spacing between the levels. Common ranges used are 8, 16, 32, 64, 128, and 256. A smaller range will give you more levels, while a larger range will give you fewer levels. Choose a range that suits the volatility and trading timeframe you're working with. 2. Identify potential support and resistance levels: The horizontal lines drawn by the indicator represent potential support and resistance levels based on the Murrey Math calculation. Prices often react or reverse at these levels, so they can be used to spot areas of interest for entries and exits. 3. Look for price reactions at the levels: Watch for price action like rejections, bounces, or breakouts at the Murrey Math levels. These reactions can signal potential trend continuation or reversal setups. 4. Trail stop-loss orders: You can place stop-loss orders just below/above the nearest Murrey Math level to manage risk if the price moves against your trade. 5. Set targets at future levels: Project potential profit targets by looking at upcoming Murrey Math levels in the direction of the trend. 7. Adjust range as needed: If prices are consistently breaking through levels without reacting, try adjusting the range input to a different value to see if it provides better levels. In which asset can this indicator perform better? The Murrey Math indicator can potentially perform well on any liquid financial asset that exhibits some degree of mean-reversion or trading range behavior. However, it may be more suitable for certain asset classes or trading timeframes than others. Here are some assets and scenarios where the Murrey Math indicator can potentially perform better: 1. Forex Markets: The foreign exchange market is known for its ranging and mean-reverting nature, especially on higher timeframes like the daily or weekly charts. The Murrey Math levels can help identify potential support and resistance levels within these trading ranges. 2. Futures Markets: Futures contracts, such as those for commodities (e.g., crude oil, gold, etc.) or equity indices, often exhibit trading ranges and mean-reversion trends. The Murrey Math indicator can be useful in identifying potential turning points within these ranges. 3. Stocks with Range-bound Behavior: Some stocks, particularly those of large-cap companies, can trade within well-defined ranges for extended periods. The Murrey Math levels can help identify the boundaries of these ranges and potential reversal points. 4. I ntraday Trading: The Murrey Math indicator may be more effective on lower timeframes (e.g., 1-hour, 30-minute, 15-minute) for intraday trading, as prices tend to respect support and resistance levels more closely within shorter time periods. 5. Trending Markets: While the Murrey Math indicator is primarily designed for range-bound markets, it can also be used in trending markets to identify potential pullback or continuation levels.
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AlgoriZate tarafından
4
Weekly RSI Buy/Sell SignalsWeekly RSI Buy/Sell Signal Indicator This indicator is designed to help traders identify high-probability buy and sell opportunities on the weekly chart by using the Relative Strength Index (RSI). By utilizing weekly RSI values, this indicator ensures signals align with broader market trends, providing a clearer view of potential price reversals and continuation. How It Works: Weekly RSI Calculation: This script calculates the RSI using a 14-period setting, focusing on the weekly timeframe regardless of the user’s current chart view. The weekly RSI is derived using request.security, allowing for consistent signals even on intraday charts. Signal Conditions: Buy Signal: A buy signal appears when the RSI crosses above the oversold threshold of 30, suggesting that price may be gaining momentum after a potential bottom. Sell Signal: A sell signal triggers when the RSI crosses below the overbought threshold of 70, indicating a possible momentum shift downwards. Visual Cues: Buy/Sell Markers: Clear green "BUY" and red "SELL" markers are displayed on the chart when buy or sell conditions are met, making it easy to identify entry and exit points. RSI Line and Thresholds: The weekly RSI value is plotted in real time with color-coded horizontal lines at 30 (oversold) and 70 (overbought), providing a visual reference for key levels. This indicator is ideal for traders looking for reliable, trend-based signals on higher timeframes and can be a helpful tool for filtering out shorter-term market noise.
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ALGO-TECH tarafından
4
SPY Master v1.0This is a simple swing trading algorithm that uses a fast RSI-EMA to trigger buy/cover signals and a slow RSI-EMA to trigger sell/short signals for SPY, an xchange-traded fund for the S&P 500. The idea behind this strategy follows the premise that most profitable momentum trades usually occur during periods when price is trending up or down. Periods of flat price actions are usually where most unprofitable trades occur. Because we cannot predict exactly when trending periods will occur, the algorithm basically bets money on all trade opportunities during all market conditions. Despite an accuracy rate of only 40%, the algorithm's asymmetric risk/reward profile allows the average winner to be 2x the average loser. The end result is a positive (profitable) net payout. TRADING RULES: Buy/Cover = EMA3(RSI2) cross> 50 Sell/Short = EMA5(RSI2) cross< 50 BACKTEST SETTINGS: - Period = March 2011 - Present - Initial capital = $10,000 - Dividends excluded - Trading costs excluded PERFORMANCE COMPARISON: There are 657 trades, which means 1,314 orders. Assuming each order costs $2 (what I pay for at Interactive Brokers), total trading costs should be $2,628. -SPY (buy & hold) = 132.73 ---> 193.22 = +45.57% (dividends excluded) -SPY Master v1.0 = $12,649 - $2,628 = $10,021 = +100.21% DISCLAIMER: None of my ideas and posts are investment advice. Past performance is not an indication of future results. This strategy was constructed with the benefit of hindsight and its future performance cannot be guaranteed.
Pine Script® stratejisi
Stable_Camel tarafından
5
Algorithmic Signal AnalyzerMeet Algorithmic Signal Analyzer (ASA) v1: A revolutionary tool that ushers in a new era of clarity and precision for both short-term and long-term market analysis, elevating your strategies to the next level. ASA is an advanced TradingView indicator designed to filter out noise and enhance signal detection using mathematical models. By processing price movements within defined standard deviation ranges, ASA produces a smoothed analysis based on a Weighted Moving Average (WMA). The Volatility Filter ensures that only relevant price data is retained, removing outliers and improving analytical accuracy. While ASA provides significant analytical advantages, it’s essential to understand its capabilities in both short-term and long-term use cases. For short-term trading, ASA excels at capturing swift opportunities by highlighting immediate trend changes. Conversely, in long-term trading, it reveals the overall direction of market trends, enabling traders to align their strategies with prevailing conditions. Despite these benefits, traders must remember that ASA is not designed for precise trade execution systems where accuracy in timing and price levels is critical. Its focus is on analysis rather than order management. The distinction is crucial: ASA helps interpret price action effectively but may not account for real-time market factors such as slippage or execution delays. Features and Functionality ASA integrates multiple tools to enhance its analytical capabilities: Customizable Moving Averages: SMA, EMA, and WMA options allow users to tailor the indicator to their trading style. Signal Detection: Identifies bullish and bearish trends using the Relative Exponential Moving Average (REMA) and marks potential buy/sell opportunities. Visual Aids: Color-coded trend lines (green for upward, red for downward) simplify interpretation. Alert System: Notifications for trend swings and reversals enable timely decision-making. Notes on Usage ASA’s effectiveness depends on the context in which it is applied. Traders should carefully consider the trade-offs between analysis and execution. Results may vary depending on market conditions and chart types. Backtesting with ASA on standard charts provides more reliable insights compared to non-standard chart types. Short-term use focuses on rapid trend recognition, while long-term application emphasizes understanding broader market movements. Takeaways ASA is not a tool for precise trade execution but a powerful aid for interpreting price trends. For short-term trading, ASA identifies quick opportunities, while for long-term strategies, it highlights trend directions. Understanding ASA’s limitations and strengths is key to maximizing its utility. ASA is a robust solution for traders seeking to filter noise, enhance analytical clarity, and align their strategies with market movements, whether for short bursts of activity or sustained trading goals.
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ertekinibrahim tarafından
2
Algo Structure [ValiantTrader_]Explanation of the "Algo Structure" Trading Indicator This Pine Script indicator, created by ValiantTrader_, is a multi-timeframe swing analysis tool that helps traders identify key price levels and market structure across different timeframes. Here's how it works and how traders can use it: Core Components 1. Multi-Timeframe Swing Analysis The indicator tracks swing highs and lows across: The current chart timeframe A higher timeframe (weekly by default) An even higher timeframe (monthly by default) 2. Swing Detection Logic Current timeframe swings: Identified when price makes a 3-bar high/low pattern Higher timeframe swings: Uses the highest high/lowest low of the last 3 bars on those timeframes 3. Visual Elements Horizontal lines marking swing points Labels showing the timeframe and percentage distance from current price An information table summarizing key levels How Traders Use This Indicator 1. Identifying Key Levels The indicator draws recent swing highs (red) and swing lows (green) These levels act as potential support/resistance areas Traders watch for price reactions at these levels 2. Multi-Timeframe Analysis By seeing swings from higher timeframes (weekly, monthly), traders can: Identify more significant support/resistance zones Understand the broader market context Spot confluence areas where multiple timeframes align 3. Measuring Price Distance The percentage display shows how far current price is from each swing level Helps assess potential reward/risk at current levels Shows volatility between swings (wider % = more volatile moves) 4. Table Summary The info table provides a quick reference for: Exact price levels of swings Percentage ranges between highs and lows Comparison across timeframes 5. Trading Applications Breakout trading: When price moves beyond a swing high/low Mean reversion: Trading bounces between swing levels Trend confirmation: Higher highs/lows in multiple timeframes confirm trends Support/resistance trading: Entering trades at swing levels with other confirmation Customization Options Traders can adjust: The higher timeframes analyzed Whether to show the timeframe labels Whether to display swing levels Whether to show the info table The indicator also includes price alerts for new swing highs/lows on the current timeframe, allowing traders to get notifications when market structure changes. This tool is particularly valuable for traders who incorporate multi-timeframe analysis into their strategy, helping them visualize important price levels across different time perspectives
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ValiantTrader_ tarafından
ORB Algo | Flux Charts💎 GENERAL OVERVIEW Introducing our new ORB Algo indicator! ORB stands for "Opening Range Breakout" which is a common trading strategy. The indicator can analyze the market trend in the current session and give "Buy / Sell", "Take Profit" and "Stop Loss" signals. For more information about the analyzing process of the indicator, you can read "How Does It Work ?" section of the description. Features of the new ORB Algo indicator : Buy & Sell Signals Up To 3 Take Profit Signals Stop-Loss Signals Alerts for Buy / Sell, Take-Profit and Stop-Loss Customizable Algoritm Session Dashboard Backtesting Dashboard 📌 HOW DOES IT WORK ? This indicator works best in 1-minute timeframe. The idea is that the trend of the current session can be forecasted by analyzing the market for a while after the session starts. However, each market has it's own dynamics and the algorithm will need fine-tuning to get the best performance possible. So, we've implemented a "Backtesting Dashboard" that shows the past performance of the algorithm in the current ticker with your current settings. Always keep in mind that past performance does not guarantee future results. Here are the steps of the algorithm explained briefly : 1. The algorithm follows and analyzes the first 30 minutes (can be adjusted) of the session. 2. Then, algorithm checks for breakouts of the opening range's high or low. 3. If a breakout happens in a bullish or a bearish direction, the algorithm will now check for retests of the breakout. Depending on the sensitivity setting, there must be 0 / 1 / 2 / 3 failed retests for the breakout to be considered as reliable. 4. If the breakout is reliable, the algorithm will give an entry signal. 5. After the position entry, algorithm will now wait for Take-Profit or Stop-Loss zones and signal if any of them occur. If you wonder how does the indicator find Take-Profit & Stop-Loss zones, you can check the "Settings" section of the description. 🚩UNIQUENESS While there are indicators that show the opening range of the session, they come short with features like indicating breakouts, entries, and Take-Profit & Stop-Loss zones. We are also aware of that different stock markets have different dynamics, and tuning the algorithm for different markets is really important for better results, so we decided to make the algorithm fully customizable. Besides all that, our indicator contains a detailed backtesting dashboard, so you can see past performance of the algorithm in the current ticker. While past performance does not yield any guarantee for future results, we believe that a backtesting dashboard is necessary for tuning the algorithm. Another strength of this indicator is that there are multiple options for detection of Take-Profit and Stop-Loss zones, which the trader can select one of their liking. ⚙️SETTINGS Keep in mind that best chart timeframe for this indicator to work is the 1-minute timeframe. TP = Take-Profit SL = Stop-Loss EMA = Exponential Moving Average OR = Opening Range ATR = Average True Range 1. Algorithm ORB Timeframe -> This setting determines the timeframe that the algorithm will analyze the market after a new session begins before giving any signals. It's important to experiment with this setting and find the best option that suits the current ticker for the best performance. More volatile stocks will often require this setting to be larger, while more stabilized stocks may have this setting shorter. Sensitivity -> This setting determines how much failed retests are needed to take a position entry. Higher senstivity means that less retests are needed to consider the breakout as reliable. If you think that the current ticker makes strong movements in a bullish & bearish direction after a breakout, you should set this setting higher. If you think the opposite, meaning that the ticker does not decide the trend right after a breakout, this setting show be lower. (High = 0 Retests, Medium = 1 Retest, Low = 2 Retests, Lowest = 3 Retests) Breakout Condition -> The condition for the algorithm to detect breakouts. Close = Bar needs to close higher than the OR High Line in a bullish breakout, or lower than the OR Low Line in a bearish breakout. EMA = The EMA of the bar must be higher / lower than OR Lines instead of the close price. TP Method -> The method for the algorithm to use when determining TP zones. Dynamic = This TP method essentially tries to find the bar that price starts declining the current trend and going to the other direction, and puts a TP zone there. To achieve this, it uses an EMA line, and when the close price of a bar crosses the EMA line, It's a TP spot. ATR = In this TP method, instead of a dynamic approach the TP zones are pre-determined using the ATR of the entry bar. This option is generally for traders who just want to know their TP spots beforehand while trading. Selecting this option will also show TP zones at the ORB Dashboard. "Dynamic" option generally performs better, while the "ATR" method is safer to use. EMA Length -> This setting determines the length of the EMA line used in "Dynamic TP method" and "EMA Breakout Condition". This is completely up to the trader's choice, though the default option should generally perform well. You might want to experiment with this setting and find the optimal length for the current ticker. Stop-Loss -> Algorithm will place the Stop-Loss zone using setting. Safer = The SL zone will be placed closer to the OR High for a bullish entry, and closer to the OR Low for a bearish entry. Balanced = The SL zone will be placed in the center of OR High & OR Low Risky = The SL zone will be placed closer to the OR Low for a bullish entry, and closer to the OR High for a bearish entry. Adaptive SL -> This option only takes effect if the first TP zone is hit. Enabled = After the 1st TP zone is hit, the SL zone will be moved to the entry price, essentially making the position risk-free. Disabled = The SL zone will never change. 2. ORB Dashboard ORB Dashboard shows the information about the current session. 3. ORB Backtesting ORB Backtesting Dashboard allows you to see past performance of the algorithm in the current ticker with current settings. Total amount of days that can be backtested depends on your TV subscription. Backtesting Exit Ratios -> You can select how much of percent your entry will be closed at any TP zone while backtesting. For example, %90, %5, %5 means that %90 of the position will be closed at the first TP zone, %5 of it will be closed at the 2nd TP zone, and %5 of it will be closed at the last TP zone.
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