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Bots vs Brains; The hidden edge of Human touch in tradingBots vs Brains; The hidden edge of Human touch in trading A random Google search on the internet about forex trading robots reveals thousands of forex robots exist. With all these trading robots promising handsome returns in the shortest time, the forex trading industry should be minting new millionaires daily. However, statistics from forex brokers paint a sad picture—a failure rate as high as 90%. In 2024, you can’t go a day without reading or watching a reel about Artificial Intelligence (AI). The high failure rate, especially in the world of finance, is baffling given all these technological advancements. This led me to take a deeper look into the world of automated forex trading, also known as bots or Expert Advisors (EA). Overview of Automated Trading A trading bot is software developed to analyze financial markets and execute trades on your behalf. Semi-automatic trading bots analyze the markets but do not execute trades. Large financial institutions, such as banks and hedge funds, use specialized algorithmic trading bots. These institutions bring together mathematicians, programmers, and economists to develop sophisticated algorithms. Needless to say, it requires significant financial resources and time to develop these bots. Development can take at least six months, followed by an additional six months of testing. The high cost makes these bots inaccessible to retail traders. Retail traders, however, are not left out. There are individuals and software platforms where you can develop your own trading bot. These bots are often marketed as being developed by experts with deep market knowledge—or so I thought. Trading bots follow specific rules based on the developer’s strategy, which ideally should mirror the success of an experienced trader. Therefore, if a trader is profitable, the bot should at least mimic their results, if not surpass them—more on this later. Before launching these bots, developers conduct extensive backtesting and refinement to optimize them for ideal market conditions. Advantages of Automated Trading Developers of trading bots often market them as superior to manual trading. They emphasize the need to eliminate human error and emotions, highlight faster execution speeds, and promote the ability to trade 24 hours a day as long as markets are open. Additionally, bots can save traders significant time that would otherwise be spent analyzing markets and executing trades. On the surface, purchasing trading robots seems like a smart decision. Limitations of Automated Trading Bots rely on historical data, assuming the future will mirror the past. However, global events are unpredictable. Take, for example, the 2008 financial crisis or the sudden shock of COVID-19—events like these can completely throw off a bot’s programming. Robots struggle to adjust to such volatility unless they’re frequently updated with new data, which many are not. This is a major limitation, especially when you consider how quickly the forex market moves with trillions of dollars in circulation. Earlier, I mentioned that robots are supposedly developed by profitable traders. But to my surprise, I found that with little trading experience, anyone can create a robot on platforms like EA Trading Academy. All it takes is registering, selecting a few parameters, running a back test, and then selling it. It’s really that simple. The ease with which these bots can be built raises questions about their reliability, especially when they aren’t crafted by experts. I even plan to build one myself, and I’ll give you feedback in a year’s time. Why I Think Robots Don’t Work The main issue is that there’s a shortage of consistently profitable traders. A trader who dedicates the time and effort to developing a reliable robot is likely to charge a hefty fee. The likelihood that they would focus solely on developing robots instead of trading themselves is very slim. This makes me wonder—who is actually building all these robots? If most profitable traders are busy trading, it raises concerns about the experience level and expertise of those creating the majority of these products. Secondly, trading styles vary significantly from trader to trader. Purchasing a robot based solely on profitability or low cost is unwise. In addition to checking a developer’s track record, you should assess whether their risk tolerance and trading approach align with yours. For instance, buying a scalping robot when you prefer swing trading could be a costly mismatch. Finally, purchasing robots without a solid understanding of the markets is irresponsible, and the disasters that follow are often justified. Many experienced traders who have tested and reviewed bots on YouTube agree that 99% of them are either scams or simply don’t work. I encourage you to watch some of these reviews to see for yourself. The Future: Automation vs. Human Touch Mastery in trading comes from a combination of skill, time, and experience. While bots claim to save you the time spent on analysis, it's precisely that time—the deep learning and constant market study—that ultimately leads to true mastery. There are no shortcuts. Bots may be designed to minimize human error, and in theory, they do. But the reality is that even the most sophisticated bots are not infallible. They can and often do fail, sometimes catastrophically. When accounts are blown—whether by a human or a bot—it’s still the trader who bears the loss and the disappointment. So, while bots may reduce human error, they can never eliminate the human responsibility for those errors. Trading the financial markets is a craft like any other. Automation, AI, and machine learning can be valuable tools in your journey to becoming a skilled trader. They cannot replace the critical thinking and adaptability that come with human experience. AI can assist by analyzing large sets of data, flagging trends, or executing trades faster than a human could—but the nuanced understanding of market sentiment, global events, and individual risk tolerance is something only a human can develop through dedication and practice. Automation might help you refine your craft, but it's the time spent learning, making mistakes, and adapting that leads to true mastery. As promising as they are, AI and bots are tools—not substitutes—for the expertise that comes from being deeply engaged in the markets. Others before you have achieved mastery, and with enough commitment, you can too.
CAPITALCOM:DXYEducation
by morrisgitau
3
Triple Growth Unlocked: RSI-SMA Crossover Dominates with 300%+Discover the trading strategy that's been the talk of YouTube: "RSI Strategy with SMA Smoothing" has turned the PEPE/USDT pair into a profit powerhouse on the 15-minute chart. It's not just about the signals; it's about seizing opportunities that others simply don't see. Strategy at a Glance: RSI Length: Tuned to 14 for the quick capture of momentum shifts. SMA Length: At 16, for that perfect balance between responsiveness and reliability. Upper Limit: A set marker at 72, our cue for locking in profits. Lower Limit: The 40 mark, where buying signals are no longer just noise but actionable intel. Starting Capital: We began at $1,000 USD and watched it soar. This is where analysis meets action. The strategy recalibrates in real-time, delivering an impressive average profit of $143 per trade. Over two months, this approach didn't just perform; it dominated, with a total profit surge of 316%. Performance Snapshot: Total Gain: A staggering 316% increase in just two months. Testing Period: Intense two-month trade fest. Trade Pair: PEPE/USDT. Timeframe: The 15-minute candle sweet spot. In the 2024 markets, this strategy has been the trader's ace. It's built for those who aim to outpace, outmaneuver, and outprofit. Are you ready to elevate your trading game? Step into the winner's circle with a strategy that's proven its metal. Past performance isn't indicative of future results. Trading involves risk. Always do your due diligence.
Long
by PPonBIN
1
The Advantage of a Quick Exit: MACD Crossover StrategyIn the tumultuous world of trading, the quest for a strategy that consistently yields high returns is the Holy Grail. The MACD Crossover Strategy, as demonstrated in the provided chart, showcases a compelling approach: maintain a low profitable rate but achieve a high net profit by exiting trades quickly to minimize losses. The Strategy at a Glance This strategy utilizes the Moving Average Convergence Divergence (MACD) alongside a Weighted Moving Average (WMA) as the main indicators for trade entry and exit points. The conditions for buying and selling are set as follows: Buy Condition: A buy signal is generated when the MACD line crosses over the signal line, and the close price is above the WMA line. Sell Condition: A sell signal occurs when the MACD line crosses under the signal line. The simplicity of these conditions allows for quick decision-making and the execution of trades, which is crucial for the strategy's success. Low Profit Rate with High Net Gains The provided performance summary reveals a profitable rate of only 35.92%. This percentage might seem unappealing at first glance. However, the net profit tells a different story, boasting a substantial gain of 632.15%. This disparity is due to the strategy's core principle: cut losses quickly and let profits run, albeit for a short time. The Power of Quick Exits The success of this strategy hinges on the swift exit from losing trades. The average trade gain is a modest $20.46, and the average number of bars in trades stands at 4, indicating a rapid turnover rate for positions. By exiting losing positions promptly, the strategy ensures that any one loss does not significantly impact the overall capital. Moreover, the strategy shows a max drawdown of 37.15%, which is an acceptable risk for many traders considering the high net return. The Profit Factor of 2.675 illustrates that the total profits are over two and a half times the size of the total losses. Implementing the Strategy To implement this strategy effectively, a trader needs to: Set precise conditions for entry and exit points. The conditions should be based on clear indicators and should not be subject to interpretation to allow for quick decision-making. Employ a disciplined approach to trade execution. Once a sell condition is met, the position must be closed immediately, without second-guessing. Accept the win rate. Not every trade will be profitable, and that's part of the strategy. The focus should be on the overall profitability, not the outcome of individual trades. Monitor the trades closely. Due to the fast-paced nature of the strategy, it is vital to keep a close eye on market movements and execute trades as soon as conditions are met. Conclusion The MACD Crossover Strategy is a testament to the fact that a high win rate is not the sole indicator of a profitable trading approach. By accepting more losses and swiftly minimizing them, a trader can still come out significantly ahead. This strategy requires discipline and a cool head to execute quickly, but for those who master it, the rewards can be substantial.
Long
by PPonBIN
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
How to auto-execute TradingView alerts on exchangeIf you have your own strategy in TradingView, you can set up opening trades on the exchange in a couple of clicks. Next, you’ll see an example of how we set up alerts in 5 minutes, and how orders were opened and closed on the exchange. To do this, we will create alerts and a bot for alerts on our platform. Step 1. Set the alert parameters. Go to our terminal, select the Algotrading section → Trading Robots → Add strategy button. You will see an interface for creating and customizing your bot, where you need to perform the Basic settings and proceed to setting the parameters for sending signals to the system. To do this, go to the Sending signals block. The TradingView signal source is already selected. Copy the Request URL. On the right side of the window, we see the code with the request parameters. You can add other parameters with checkboxes, we have added Stop Loss and Take Profit. Copy and save the code. Step 2. Launch the bot. Next, find the created bot in the All robots section and launch it in Work trading mode according to the manuals in the terminal. Step 3. Set up an alert in TradingView. Go to TradingView, open the Alerts section and set up an alert, for example, for opening an order (Buy) based on a simple indicator - in our case, Crossing. Paste the code that we got in Step 1 in the Message field. Paste the request URL we got in Step 1 in the Webhook URL field and Save. The alert has been successfully created and is active on TradingView in the Alerts section. Step 4. Monitor the orders. The alert triggers and ... Go to the Alerts log, where we see a notification about executed alerts from TradingView. We can check in the bot on our platform, open the Trades tab - we see open orders. And we see that alert orders are open on the exchange. Since we set Stop Loss and Take Profit, the orders were not only opened, but also closed. In the platform we can find deals, on the exchange we can find orders with the Sell parameter. We hope that now trading with TradingView will become even easier. We will release new and more detailed articles for you on using webhooks so that the strategy created here works 24/7 without your participation.
Education
by Crypto_robotics
11
These crypto bots were launched and have been running since 2021These bots that were launched on major exchanges via Kryll.io have been trading since 2021 to Feb 2022 and despite the bear market, the have held this portfolio up by over 60%. With over 40 pairs traded with these bots, this proof of concept experience shows that: - Using trading strategies on Kryll can be optimal over a simple buy and hold. The total accumulated crypto and usdt on the account has increased by over 60%. - They can protect traders against bearish moves. - These strategies are optimal to run in the longer term in order to be optimal and efficient. Most traders stop their bots early out of impatience but this case study showed, that given enough time, a Kryll bot running a strategy in your portfolio can post solid returns given the chance. On Kryll. io you can: - Use the best crypto trading bots in the crypto space. - Use TradingVIew charts and indicators to build profitable trading bots with zero coding experience needed. - Backtest, optimize and automate your trading strategy. - You can manage all your trades on all your exchange accounts through the Kryll. io platform.
CRYPTOCAP:TOTAL
by Kryll_io
Trading COTI for profits using Kryll botsCheck out this trade one of the Kryll bots pulled off on COTI/USDT. Traders on Kryll are automating their Coti trades to passively accumulate their COTI bag at a profit despite the bear market. Beat hodling today with Kryll. On Kryll.io you can: - Use TradingVIew charts and indicators to build profitable trading bots with zero coding experience needed. - Backtest, optimize and automate your trading strategy. - Copy trade from the best crypto trading bots in the crypto space. - You can manage all your trades on all your exchange accounts through the Kryll.io platform.
by Kryll_io
How To Backtest Further In The Past On Low TimeframesQuick video to show this little trick using the Replay mode that allows us to load more historical bars than real time, and thus get a better picture at how a strategy can perform over time. The Strategy Tester re-calculate the results everytime we load new bars, as the indicator strategy is correctly applied to these new bars. I got the confirmation from the awesome TradingView Support Team that the extra data that you get this way is real and relevant, and can be used to test your strategies. That means we are no more limited to 15/30 days backtest data in the 5min timeframe for example.
BITMEX:ETHUSD.PEducation
by cyatophilum
55
Profitable ROSE trades taken despite bearish market. Traders are taking hits during these bearish moves lately but trading bots created by the Kryll.io community are still managing to beat the overall market. Check out juse one of many examples here on this profitable ROSE trade that was taken during the break downwards in ALTS. On Kryll.io you can: - Use TradingVIew charts and indicators to build profitable trading bots with zero coding experience needed. - Backtest, optimize and automate your trading strategy. - Copy trade from the best crypto trading bots in the crypto space. - You can manage all your trades on all your exchange accounts through the Kryll.io platform.
Long
by Kryll_io
1
AUTOMATED TRADING BOTS: How to profit with Tezos.Tezos is one of the best token for our robot. Our robot mainly uses the DCA (dollar cost averaging) trading method. If the price drops, instead of the Stop loss order, we have a Buy limit order. This will also cause the Take profit value to drop and approach the current price. If the price falls and falls, the robot buys and buys. This keeps the Take Profit lower and lower. After that, the price of the token rises and our trade ends with Take profit, which is not far from us thanks to constant and precisely predefined purchases. The XTZ / USDT currency pair is suitable for our demonstration. You see very high volatility. It is through volatility that our robot can be profitable. If the price still went in one direction without frequent fluctuations and without "waves", the robot would earn very little. We need great volatility for big profits. Volatility in the TradingView platform will be helped by the Historical Volatility indicator. This indicator often (on this time frame) intersects the value of 50.00, which is rarely affected for low-volatile currency pairs. For example, you would look for Bitcoin very bad around 50.00 on this time frame. The key to our profitable trading bot is volatility! At a time of market colapse, when almost everyone is going through and positions in the Futures markets are being liquidated on a large scale, we are EXTREMLY profitable thanks to our robots. Of course, it is very important that you know how big the position is and how often, or at what intervals it is necessary for the robot to buy more. In no case is every setting of the robot profitable, on the contrary, setting up a profitable robot is not easy. You will learn how to set up a robot to be constantly profitable in our Academy. PS: One of the best things about trading with robots is that you remove all emotions and decisions. We wish you a nice day. UCT team.
Education
by UltimateCryptoTrader