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Algotrading

EURCAD BULLISH PROJECTIONIn my concept; PAC Methodology, I showed exactly how price is being delivered based on the Algorithm. It is believed that the market has some rules that I hold dearly and that would include the way price is being delivered. You can see how price has raided a Relative Equal Low (Sell-side Liquidity) and now we are targeting the possible Buy-side Liquidity on the Weekly Timeframe. If you are so interested in joining the move to the Weekly DOL (Draw on LQD) then you should check for Market Structure on D1/H4 and it will show you how the bullish structure has started after the raid of that Relative EQL low on the Weekly Timeframe. Follow my page for more educational contents. Like, share and make sure to drop a comment. Best regards.
Long
by poppyjoe_fx
ALGO's BEAR TRAP: Pump in the Process?Algorand (ALGO) has orchestrated a fascinating move that has caught the attention of traders and investors alike. It appears to have fallen below a key support level, but could this be a cleverly designed bear trap? Many speculate that a pump might be on the horizon. Let's dive into this intriguing market development. 📈💥 The Fall Below Support: ALGO recently breached a key support level, causing some concern among traders. However, in the world of crypto, not everything is as it seems. A Potential Bear Trap: While the drop may look ominous, it has all the hallmarks of a bear trap. This deceptive move is designed to lure in short-sellers who anticipate further decline, only to spring a surprise pump. The Pump in Waiting: ALGO's setup suggests that a pump might be in the making. The bear trap could be the trigger for a swift and substantial price surge. Trading Strategy: Vigilance: Keep a close eye on ALGO's price action, especially in the wake of the support breach. Risk Management: Maintain sound risk management practices to protect your investments in the volatile crypto market. Stay Informed: Stay updated with the latest news and developments related to ALGO that could influence its price movements. Conclusion: The crypto market is filled with clever maneuvers, and ALGO's recent move could be one of them. A bear trap, if that's what it is, often leads to a rapid and powerful reversal. As you navigate these market intricacies, remember that vigilance is key. Be prepared for unexpected turns, and may your trades lead to success. ❗️Get my 3 crypto trading indicators for FREE❗️ Link below🔑
by AlexWhale
Algorand Price Surges Above Exponential Moving Average 200! Algorand (ALGO) has soared above its Exponential Moving Average 200 (EMA200), hinting at a remarkably bullish run! For those of you who relish the excitement of trading in fast-paced markets, this exhilarating development presents an unmissable chance to capitalize on the strong upward momentum of ALGO. The fact that it has surged beyond its EMA200 signifies a significant shift in its overall trend, indicating the potential for substantial gains in the near future. Now, you might be wondering, "Why should I long Algorand?" Well, the reasons to do so are plentiful. The recent breakthrough above EMA200 showcases the cryptocurrency's resilience and solidifies its position as a growing force in the market. Furthermore, Algorand's cutting-edge blockchain technology, combined with its ability to handle high transaction volumes with minimal fees and superb scalability, has garnered widespread attention and acclaim within the crypto community. It is worth noting that Algorand's dedicated team of visionaries and prominent partnerships add further credibility and potential to this digital asset. So, fellow traders, let's seize this exhilarating opportunity and consider initiating a long position on Algorand (ALGO) today. With the price soaring above its EMA200, it's an exciting moment to ride the upward wave and potentially secure significant profits. Don't miss out on the action! As we navigate the fast-paced world of cryptocurrency trading, remember to stay informed, set stop-loss orders for risk management, and always trade responsibly. May each trade bring you adventure and success! To embark on this exciting journey with Algorand, act now and place your long position. Get ready to ride the waves of profit! Call-to-Action: Take advantage of Algorand's surge above its EMA200 and seize the opportunity to long ALGO today! Place your trade and enter the thrilling world of potential profit now. Don't delay, act today!
Long
by bryandowningqln
BTCUSD interesting geometryHere is some interesting geometry on an outer edge ray. - Extrema point 0 on ATH - Extrema point 1 on PI * 27.3 (orbital period moon) High - Break on PI - Retest on 3.5 All within a tiny margin of error. The time between 0 and 1 ≈ 5 moon orbits The time between 0 and PI ≈ 16 moon orbits You could probably draw and find proportions everywhere on either scale, but what is the chance of them relating equally on both price AND time scales? How unique is this occurrence? Statistically probably a unicorn event. How great would it be, to produce analytical algorithms that find these price and time-dependent extrema points and relate them with each other via things like outer edge extension rays, to measure and test at what proportions they are broken/retested, and so change in status, to truly test how unique, predictable and structured-to-nature the market behaves.
INDEX:BTCUSD
by MVPMC
XAUUSD 4H BREAKDOWN ALGO LEVELS Greetings, Traders. Let's delve into a comprehensive higher timeframe analysis, stretching from the daily to the 4-hour timeframe. Currently, we're observing gold trading in the range of 1964 to 1991, and it's riding a bullish trend. If we manage to break above this range, our eyes are set on the next resistance level at 2007 to 2014. Further ahead, the historical high of OANDA:XAUUSD at 2066 to 2073 is our target. However, we're still within the 1962 to 1991 range for now. In case we break down and achieve a full 4-hour candlestick close, the next area of focus becomes 1943 to 1947. If this doesn't hold, we'll shift our attention to 1926 to 1936. Keep in mind that market situations can change, so stay tuned for updates. As of now, our bias is bullish on gold. DISCLAIMER: I am not a financial adviser. The Analysis on my channel are for educational purposes only
FOREXCOM:XAUUSDLong
by BlackWatch01
ALGO - Time to Buy?I think its a perfect time to buy or Long some Algo We can see that the coin perfectly bounced from 0.0878$ price level, from which it already bounced for the 3rd time. And each time it was bouncing for 16 to 22 % up On the chart I highlighted important levels to watch and book some profits. 1. High possibility that the coin will bounce till 0.0978$ where we can expect bear reaction. So either open short position from that level, but 1st of all check if the markets trend is bearish and if there will be bearish signs on Lower time frames 2. The coin breaks above 0.0978$ and reaches 0.105$ where the probability that sellers will want to lead at that level is very HIGH. So, important to book some profits there too. 3. Very bullish and optimistic scenario is that the coin breaks above 0.1059$, would be perfect to see Weekly close around that level. In this case, the coin can go to the higher prices, for example 0.1167$ etc.
Long
by vazitrades
Demo of first complete TradingView Strategy called BunnyIntroducing Bunny - the groundbreaking TradingView strategy that promises to revolutionize the world of online trading. Developed by a team of experts in the field, Bunny offers a comprehensive and innovative approach to trading by combining advanced technical analysis tools with a user-friendly interface. With its intuitive design, Bunny allows traders to easily create, test, and deploy custom strategies tailored to their unique trading preferences. Whether you are a seasoned investor or just starting in the world of trading, Bunny provides users with a fully immersive experience that unlocks the full potential of TradingView's platform. With its array of powerful features and comprehensive market data, Bunny offers the necessary tools and insights to analyze market trends, make informed trading decisions, and maximize profits. Embark on a new trading journey with Bunny and unlock the doors to success in the ever-evolving world of financial markets.
TVC:USOILLong
by bryandowningqln
How Quantitative Trading Models WorkUnpacking the Numbers: Understanding How Quantitative Trading Models Work Introduction Quantitative trading models are crucial instruments in the modern trading toolkit, employing mathematical computations to identify trading opportunities. As quantitative trading continues to grow in popularity, understanding how these models work is essential for financial enthusiasts and professionals alike. What is Quantitative Trading? Quantitative trading involves using mathematical models to identify trading opportunities, typically by analyzing price patterns and historical data. Quantitative traders develop and implement these models to execute trades automatically, often at high frequencies and speeds. Core Principles of Quantitative Trading Models 1. Statistical Analysis: Quantitative trading relies heavily on statistics and probability theory to predict market movements. Statistical analysis helps quantify financial assets’ behavior and identify patterns, trends, and anomalies. 2. Data Mining: Quantitative models sift through enormous datasets, analyzing historical price and market data to inform trading decisions. This process enables the identification of correlations between different variables. 3. Algorithm Development: Traders develop algorithms based on the insights gained from data analysis. These algorithms follow a set of instructions to execute trades when certain conditions are met. Types of Quantitative Trading Models 1. Arbitrage Strategies: Arbitrage models capitalize on price discrepancies across different markets or similar assets. For instance, if a stock is undervalued in one market and overvalued in another, the model will execute simultaneous buy and sell orders to capture the price difference. 2. Trend Following Strategies: These models identify and follow market trends. Common techniques include moving averages, channel breakouts, and price level movements. 3. Machine Learning-Based Strategies: Machine learning (ML) models use algorithms that learn and improve from experience. ML in trading often involves reinforcement learning or neural networks to predict price changes and execute trades. How Quantitative Models Work: Step by Step Defining Objectives: Traders must clearly outline their trading goals, risk tolerance, and target assets. Data Collection: Models require vast datasets of historical and real-time market data. Strategy Development: Traders develop a trading strategy based on statistical methods and data analysis. Backtesting: The strategy is tested on historical data to evaluate its performance and risks. Optimization: The strategy is refined and tweaked to improve its efficiency and profitability. Implementation: Once optimized, the strategy is deployed in live markets. Monitoring: Continuous oversight is necessary to ensure the model performs as expected, with adjustments made as needed. Risks and Challenges Overfitting: Overly complex models might fit the historical data too closely, performing poorly in live trading. Data Quality: Poor or inaccurate data can lead to misguided strategies. Technological Failures: As with all technology-dependent activities, hardware or software failures can result in significant losses. Conclusion Quantitative trading models are integral to the modern financial landscape, providing a systematic, data-driven approach to trading. By understanding the underlying principles and workings of these models, traders and investors can better appreciate the potential and risks associated with quantitative trading. As technology and data analysis techniques continue to advance, the power and sophistication of quantitative trading models are likely to grow, further cementing their role in global financial markets. Whether you are an aspiring trader or an experienced market participant, a foundational understanding of quantitative trading models is crucial in today's data-driven financial environment.
BITSTAMP:BTCUSDEducation
by JS_TechTrading
The Future of Algorithmic Trading: Trends to Watch in 2023Let's talk about the trends shaping the future of algorithmic trading. After all, an occasional pulse check keeps you ahead in the game. The Explosive Growth: A Historical Perspective By 2032, the algorithmic trading market is projected to balloon to USD 36.75 billion . Being ahead of this curve doesn't just make you a participant; it makes you a pioneer. Early adoption provides a competitive edge, allowing you to exploit market inefficiencies before they become common knowledge. So, don't just follow the trend—be the trend. Democratization of Algorithmic Trading Forget the intimidating jargon; algorithmic trading is becoming as user-friendly as your smartphone. With trading platforms introducing simplified coding languages like Pine Script (TradingView), ThinkScript (ThinkorSwim), and EasyLanguage (TradeStation), you don't need a computer science degree to get started. And if coding isn't your thing, a burgeoning freelance market and point-and-click interfaces make algorithmic trading more accessible than ever . Short-Term Traders: The New Beneficiaries In the world of short-term trading, timing matters. Algorithmic trading is not just a luxury in this realm; it's a necessity. Imagine a scenario where you're eyeing a sudden price drop in a volatile asset. A manual trader might hesitate, double-check, and possibly miss the window of opportunity. An algorithm, on the other hand, can execute a trade within a few seconds that matches the rules of your strategy without wasting the moment. Moreover, algorithms can monitor multiple market indicators simultaneously, something virtually impossible for a human trader juggling multiple screens. This multi-tasking ability enables more informed decision-making, which is crucial for short-term strategies that rely on quick, accurate data interpretation. It's like having an entire team of analysts and traders compacted into a single, efficient algorithm. Conclusion The rise of algorithmic trading is not a wave of the future—it's the tide that's already lifting all boats. From its democratization to its unparalleled advantages for short-term trading, the case for algorithmic trading has never been stronger. ---- Additional Resources For those keen to delve deeper, here are some recommendations: "Algorithmic Trading: Winning Strategies and Their Rationale" by Ernest P. Chan "Building Winning Algorithmic Trading Systems" by Kevin J. Davey "Trading Systems and Methods" by Perry J. Kaufman
CME_MINI:ES1!Education
by TradersPostInc
ETH: Brace for Boring; Range TradingHi Traders, Investors and Speculators of Charts📈📉 Although we have seen slight corrections to the upside after a stretch of red days, most Technical Indicators are still extremely bearish in higher timeframes. It's helpful to look at technical indicators in higher timeframes because this cancels out the noise and shows the real trend. Occasional wicks above and below is possible, as this type of price action is attractive for bots. Bots are algorithms / algorithmic traders that function really well in tight, range bound zones. When the bounces become too obvious; an occasional wick is seen above the resistance zone or below the support zone. You too can trade these zones, if you are extremely disciplined and trade with spot instead of leverage. Leverage trading in tight ranges gets you rekt more often than not. Again, I'm still looking at accumulation opportunities across the altcoin markets instead of trying to trade BTC or ETH here. _______________________ 📢Follow us here on TradingView for daily updates and trade ideas on crypto , stocks and commodities 💎Hit like & Follow 👍 We thank you for your support ! CryptoCheck
by CryptoCheck-
37
Battle-tested through the ups and downs of Etherium historyA trading strategy that's been battle-tested through the ups and downs of Eth's history. This strategy doesn't blink in the face of market chaos or get swayed by emotions. It's a calculated game plan that knows when to step in and when to step back. Compare that to emotional investing, where fear and greed call the shots. Imagine making decisions when you're on an emotional rollercoaster—buying high in excitement and selling low in panic. That's a recipe for disaster. A backtested risk-managed strategy, though, is like a cool-headed coach that sticks to the game plan no matter what. It's about discipline, rules, and consistency. So, do you want to ride the emotional wave or play the long game with a strategy that has been consistently profitable year on year since 2016 (start of Eth - substantiated by backtest data). Average annual net profit (substantiated by the backtest) 196% (No Leverage) & 661% (3x leverage) This year (Jan 2023 to Sep/15th/2023) has already generated 45.21% (no leverage) 144.93% (3x leverage) in net profit. This strategy does Not re-paint, No-look ahead bias. and 100% forward tested. Tradingview has a default caution for strategies that use the multitimeframes data. This does not apply to this strategy as all calculations are based on closed bars. So how does it work? Postions are entered based on RSI Divergence on Higher Timeframes and confirmed by the ATR. Stop Loss and Trailing ATR-based Take Profit:The strategy incorporates a risk management mechanism with a built-in stop loss set at 8%. Additionally, it employs a trailing take profit mechanism based on ATR. This means that as the trade moves in the desired direction, the take profit level adjusts itself based on the current volatility, allowing for gains to be secured as the trend progresses. SMI-based Re-entry after Stop-out: Stochastic Momentum Index (SMI) is used as a re-entry signal if the trade is stopped out (i.e., the stop loss is triggered). This re-entry is contingent on higher timeframes and ATR still supporting the original trend, indicating that the initial stop-out may have been a false signal. Portfolio Reinvestment for Compound Growth: The strategy allocates 95% of the portfolio's capital to each trade. This approach maximizes the potential for compound growth, as a significant portion of the available capital is reinvested in each trade, provided that risk management rules are satisfied. This approach is appropriate for this strategy as strict risk management is applied and the winrate is almost 50% Accounting for Exchange Fees: Exchange fees, set at 0.1%, are factored into the strategy's calculations. This ensures that trading decisions take into account the cost of executing trades on the exchange. Avoiding Lookahead Bias and Repainting: The strategy is designed to prevent lookahead bias by making calculations based only on closed bars of price data. Lookahead bias occurs when future data is used to make past trading decisions, potentially leading to unrealistic expectations.
BITFINEX:ETHUSDEducation
by TradingAlgorithms
Tailoring Strategies for Different AssetsIn the world of trading automation, one size does not fit all. Different types of assets like cryptocurrencies and forex have unique properties that make them behave differently in the market. To maximize the potential of your trading automation, it’s essential to adapt your strategies to the specific ticker you’re trading. In this post, we’ll explore the differences between various types of assets and how you can optimize your automated trading strategies to achieve success. ➡️Crypto vs. Forex comparison⬅️ Crypto markets operate 24/7, while forex markets are open 24/5, making crypto trading potentially more demanding. The volatility in cryptocurrencies tends to be higher, with sudden price movements being more common. Forex markets generally have higher liquidity, meaning it is easier to enter and exit positions. Leverage in forex trading can be much higher compared to crypto trading, increasing both potential gains and losses. While forex markets are driven mainly by economic indicators, cryptocurrencies are more influenced by market sentiment and news events. Regulatory environments also differ, with forex markets being well-regulated and crypto markets having limited regulation. 📈Strategies for Forex, Indices, Major Cryptos, and Altcoins Given the differences between forex, indices, major cryptocurrencies, and altcoins, it’s important to have distinct settings and strategies for each. Here are some specific strategies and indicators that are often mentioned as being suitable for each type: 1. Forex Trading Strategies: Trend-following: Traders can utilize strategies like moving average crossovers, Parabolic SAR, or the MACD indicator to identify and follow trends in the forex market. Mean Reversion: This strategy is based on the idea that prices will eventually revert to their historical averages. Traders can use indicators like Bollinger Bands or the RSI to identify potential reversals. Support and Resistance: Traders can identify key price levels where the market is likely to reverse or continue its trend, using tools like horizontal support/resistance lines, Fibonacci retracements, or pivot points. 🤔Cryptocurrency Differences: BINANCE:BTCUSDT and BINANCE:ETHUSDT vs. Altcoins When trading cryptocurrencies, it’s essential to understand that major coins like Bitcoin (BTC) and Ethereum (ETH) behave differently than altcoins. This divergence can be attributed to factors like market capitalization, liquidity, and overall market sentiment. BTC and ETH typically have higher liquidity and lower volatility compared to altcoins, making them more predictable and easier to trade. Altcoins, on the other hand, can experience sudden price swings, making it crucial to adapt your trading strategies accordingly. 2. Major Cryptocurrency Strategies (BTC and ETH): Breakout Trading: Traders can use tools like Donchian Channels or trendlines to identify significant price levels where the market is likely to break out, either continuing the trend or reversing it. Momentum Strategies: By utilizing indicators like the Relative Strength Index (RSI), Stochastic Oscillator, or the Moving Average Convergence Divergence (MACD), traders can identify when the market has strong momentum and enter positions in the direction of the trend. Swing Trading: This strategy involves holding positions for several days to weeks, aiming to capture price movements within a larger trend. Traders can use indicators like moving averages or Fibonacci retracements to identify potential entry and exit points. 3. Altcoin Trading Strategies: High-Frequency Trading (HFT): This strategy involves entering and exiting positions quickly, seeking to profit from small price movements. Traders can use algorithms and tools like order book analysis, time and sales data, or market depth analysis to make rapid trading decisions. Arbitrage Strategies: Traders can take advantage of price discrepancies between different exchanges by simultaneously buying and selling the same asset. This strategy can be particularly effective in altcoin markets, where price differences between exchanges can be more pronounced. Technical Analysis: Similar to major cryptocurrencies, traders can use technical analysis tools like chart patterns, moving averages, or oscillators to identify potential trade setups in altcoin markets. However, due to the higher volatility and lower liquidity of altcoins, traders may need to adapt their strategies and risk management accordingly. 🤖Crypto Trading Automation: BTC Optimization and Hedge Mode When it comes to crypto trading automation, Bitcoin (BTC) is often considered the easiest to optimize. Leveraging hedge mode allows you to run multiple strategies on BTC simultaneously, increasing the potential for success. This feature enables traders to have several strategies running concurrently without interfering with each other’s open positions, allowing for a more diversified and potentially profitable trading experience. 😊Conclusion: Elevate Your Trading Game with The Right Automation Strategy The world of trading is as diverse as it is dynamic, with each asset class—be it forex, major cryptocurrencies, or altcoins—offering its own set of challenges and opportunities. The strategies you employ should be just as versatile, tailored to the unique characteristics of each market. With the power of TradingView's strategy development and the potential for seamless automation, you're not just participating in the market—you're mastering it. If you have any questions or need further insights on how to set up your automated trading system, don't hesitate to drop a comment below. We're here to help you navigate this exciting journey. Here's to smarter, more efficient trading. Cheers! 🥂
Education
by Tickerly
Optimizing Automated Trading Strategies for ProfitabilityAutomated trading strategies have the potential to be highly profitable if they are set up and optimized correctly. In this guide, we will provide you with essential advise on how to optimize your trading strategies for long-term profitability, ensuring that you can fully harness the power of trading automation platforms like Tickerly. Embracing optimization techniques can make a significant difference in your trading performance and help you to achieve your financial goals. Identifying a Profitable Entry Method The foundation of a successful automated trading strategy is a profitable entry method. Start by identifying entry signals that are profitable on their own, without any additional filtering. This will ensure that your strategy has a solid base to build upon. A profitable entry method can significantly improve the overall performance of your strategy, making it easier to achieve consistent returns over time. Choosing a Strategy Over an Indicator When possible, opt for a strategy rather than an indicator. Strategies allow you to backtest their performance, providing valuable insights into how they might perform in live trading. This information can help you fine-tune and optimize your strategy before automating it. Backtesting enables you to identify potential weaknesses in your strategy and make adjustments to improve its performance. Ensuring Stability in Core Entry Parameters When tweaking core entry parameters, small changes should not lead to a significant decrease in profitability. This is a sign of a robust strategy that can withstand minor fluctuations and remain profitable over the long term. Stability in core entry parameters can be crucial in ensuring that your strategy is not overly sensitive to market noise, which could lead to inconsistent results. Profitability Across Market Conditions A profitable automated trading strategy should be adaptable to various market conditions, including bull markets, bear markets, and ranging markets. This flexibility ensures that your strategy can consistently generate profits, regardless of the prevailing market sentiment. Developing a strategy that performs well in different market conditions can greatly improve your long-term trading success, as it minimizes the impact of unfavorable market phases on your performance. Exchange and Currency Pair Compatibility Your strategy should remain profitable when switching to a different exchange or moving between e.g. USDT and USD pairs. This demonstrates the robustness of your strategy and its ability to perform well across various trading environments. By ensuring compatibility across different exchanges and currency pairs, you can take advantage of diverse trading opportunities and further optimize your strategy’s performance. Profitability on Adjacent Timeframes A strong trading strategy should be profitable on adjacent timeframes. This is an indicator of its versatility and an assurance that it can adapt to changing market dynamics. By ensuring that your strategy performs well on multiple timeframes, you increase the likelihood of long-term success. Additionally, having a strategy that is profitable on various timeframes can help to diversify your trading approach, reducing the risk of overexposure to a single timeframe. Automating Your Strategy Finally, your strategy could be robust enough to trade automatically on Tickerly. Of course, you should continue to monitor its performance and make sure that it stays within the expected behavior. Do comment any questions or viewpoints you have on automated forex, futures or crypto trading
Education
by Tickerly