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+ 214% ! Ai Trading with Alpha Ai Reversal Strategy [GOOG]🚀 Unlock the Power of AI Trading with Alpha AI Reversal! 🚀 ⭐ Net Profit: $62,422.65 📈 ⭐ Total Trades: 147 successful moves 🔄 ⭐ Win Rate: 81.63% success! 🏆 ⭐ Profit Factor: 3.961 — Exceptional strategy! ⭐ Max Drawdown: $7,540.66 USD — Managed risk! 🔍 Visualizing smooth, upward growth 📊 with powerful insights and precision tools. Alpha AI Reversal delivers consistent results with an average trade of $487.30 over just 15 bars. 🔥 Exciting News: The strategy will be released soon! Stay tuned for the launch and be among the first to gain access!
NASDAQ:GOOG
by Alpha-Capital
4
+252.44 % ! The Power of Ai Trading [German DAX] XETR:DAX The Alpha AI Reversal Strategy continues to impress with its outstanding performance metrics, making it a powerful tool for traders seeking consistent returns with high accuracy. Let’s explore the key highlights of this strategy: Net Profit: A solid gain of €50,487.72, representing an impressive 252.44% profit margin. This speaks volumes about the strategy’s ability to compound returns over time. Total Closed Trades: With 104 trades completed, the strategy demonstrates both activity and control in its approach. Percent Profitable: A stunning 88.46% of trades ended in profit, showing a very high hit rate and remarkable precision. Profit Factor: The profit factor stands at 9.123, meaning that for every euro risked, traders earned over 9 euros in return—a clear sign of how lucrative this strategy is. Max Drawdown: A drawdown of €6,650.87 (17.85%) indicates moderate risk relative to profits, ensuring stability in times of market fluctuations. Average Trade: Each trade yields an average of €485.46 (0.74%), proving that even the smaller trades contribute significantly to overall gains. Average Bars in Trades: Trades are typically held for 12 bars, striking a balance between quick profits and holding positions for optimal returns. This strategy shows an excellent mix of high profitability, controlled risk, and a strong win rate. Whether you're an experienced trader or a beginner, the Alpha AI Reversal is a tool to keep an eye on for consistent, high-quality results. Alpha AI Reversal is optimized for +50 instruments (crypto, stocks, indexes and commodities)
OANDA:DE30EUR
by Alpha-Capital
+702 % ! The Power of Ai Trading [GOLD] Alpha AI Reversal Strategy: A Game-Changer in Profitability This chart showcases the stellar performance of the Alpha AI Reversal strategy, and the numbers tell a story of growth, consistency, and low risk. Let’s dive into the key statistics that highlight its remarkable success: TVC:GOLD Net Profit: A jaw-dropping $140,401.57 USD, reflecting a 702.01% gain! This is a clear indicator of the strategy’s high profitability. Total Closed Trades: The strategy executed 56 trades in total, showing both action and precision. Percent Profitable: A solid 85.71% of trades were winners, which is a testament to the strategy’s accuracy. Profit Factor: At 10.191, this metric reveals how profitable the strategy is relative to risk. A profit factor above 10 means that for every dollar risked, the strategy made 10 dollars back—an impressive feat! Max Drawdown: The drawdown, sitting at $10,400.62 USD (12.93%), indicates minimal risk exposure compared to overall profit, keeping traders on the safer side during market dips. Average Trade: Each trade, on average, netted a healthy $2,507.17 USD (1.18%), indicating consistent returns across trades. Average Bars in Trades: The strategy typically holds trades for 17 bars, reflecting a balance between short-term gains and holding for optimized profits. In short, the Alpha AI Reversal Strategy is a powerful tool, driving extraordinary returns with high accuracy and low risk, making it a top pick for traders looking to optimize their strategies.
TVC:GOLDLong
by Alpha-Capital
2
Alpha Ai Reversal: A High-Performance Strategy with +674% +674% ! impressive performance of the Alpha AI Reversal trading strategy. Here’s a breakdown of the key statistics: OTC:LVMHF Net Profit: A whopping $129,416.17 USD, demonstrating the strategy’s profitability. Total Closed Trades: 78 trades, with an impressive 81.71% being profitable. Profit Factor: 9.558, indicating a high return on investment. Max Drawdown: $20,593.12 USD, showing the maximum observed loss during the backtest. This strategy’s consistent upward trend in net profit and high percentage of profitable trades make it a standout in the realm of algorithmic trading. 📈💰
OTC:LVMHF
by Alpha-Capital
Alpha Ai Reversal: A High-Performance Strategy with 412% ReturnsKey Highlights: NASDAQ:NDAQ Net Profit: A solid $82,516.99 USD profit , reflecting a gain of 412.58%. This showcases the strategy's ability to multiply capital impressively over time. Total Closed Trades: 157 trades have been completed, indicating a good amount of market engagement, providing ample data to gauge the strategy's reliability. Percent Profitable: A high success rate, with 79.62% of trades closing in profit . This means nearly 8 out of 10 trades are winners, a confidence booster for any trader! Profit Factor: A profit factor of 3.296 indicates that for every dollar lost, the strategy earned over three dollars. This is a strong indicator of risk/reward management. Max Drawdown: The maximum observed drawdown was $13,564.86 USD, or 50.61%. While this is on the higher side, suggesting periods of significant losses, the overall profitability more than compensates for this. Average Trade: The average trade brought in $525.59 USD, representing a 1.14% gain per trade. This consistent performance adds up over time, as seen in the cumulative profits. Average Number of Bars in Trades: Each trade lasted an average of 17 bars. Given the 8-hour timeframe, this means trades were typically held for about 5-6 days, balancing between quick profits and sustained positions. The strategy seems well-calibrated for traders looking for high probability setups with significant profit potential. The strong profit factor and percentage profitability are particularly appealing, suggesting a strategy that can consistently outperform the market, even if the drawdowns require a strong stomach. For those willing to ride out the occasional rough patch, the Alpha Ai Reversal strategy offers a compelling balance of risk and reward, promising attractive returns in the long haul. This strategy could be a game-changer !
OANDA:NAS100USD
by Alpha-Capital
2
+664% ! The Power of Ai Trading Net Profit: $132,926.43 USD, which is an impressive 664.63% return. Total Closed Trades: 133 trades have been completed. Percent Profitable: 66.17% of the trades were profitable. Profit Factor: 6.76, indicating that for every dollar risked, the strategy earned $6.76. Max Drawdown: $10,366.73 USD, or 24.76%. This represents the maximum observed loss from a peak during the strategy's performance. Average Trade: $999.45 USD profit per trade, which corresponds to a 1.67% gain on average per trade. Average Number of Bars in Trades: 43 bars, which implies that each trade lasted, on average, 43 periods (in this case, 43 * 8 hours). The performance graph shows a steady upward trend, indicating consistent gains over time.
FX:US30
by Alpha-Capital
2
How much should the order amount be in quantitative trading ?First, you need to determine how your strategy calculates the order quantity, which can be based on: 1. Quantity of shares 2. Amount of money 3. Percentage This article elaborates on the points of using "Fixed Order Amount" . The amount of margin required for a trade depends on your risk tolerance. Using "BOT | Trend" as an example, In the backtested performance, a fixed "initial capital leveraged by 1x" is used as the order amount for each trade, with a maximum drawdown of 25%, meaning the assets decrease by 25% from the "peak performance point" to the subsequent lowest point (1000 ➡️ 750). Therefore, there are two key points to note here: * The amount of margin required should consider “How much risk you can bear? ” Assuming you currently have 1000 to operate "BOT | Trend," and you can tolerate a maximum loss of 500 (-50%), then the total amount of each trade (margin * leverage) can be set as 2000, and so on. Example: Now you have 2000, and you can tolerate a maximum loss of 400 (-20%), then the total amount of each trade (margin * leverage) is 1600. Practice: Now you have 5000, and you can tolerate a maximum loss of 2000 (-40%), then the total amount of each trade (margin * leverage) is ______ (Hint: What is 25% of 2000?). * Timing to start running quantitative trading. Running a "trend-following" quantitative trading strategy should not start during a continuous profitable period but rather when the strategy incurs losses (relative low point of equity). This is because for trend strategies, sideways market conditions can cause the strategy to go long at highs and short at lows, resulting in a depletion of funds during this period. Starting during a continuous profitable period is likely to encounter fund depletion right after entering because markets alternate between trending and ranging phases. Answer: 8000
Education
by khlin712
Importance of Comparing Automated Trading Strategies to Buy&HoldImportance of Comparing Automated Trading Strategies to Buy&Hold | 04/15/23 Recently, TradingView introduced a new backtesting feature that allows traders to compare their trading strategy to simple "buy and hold" strategies. This has proven to be very useful for our trading team and crypto community, especially when attempting to find the best settings for manual and automated trading scripts, such as our Ninja Signals V4 script, so we wanted to highlight this awesome new feature. In this example, we used TradingView's new 'Compare to Buy & Hold' feature to compare our chosen configuration settings for our Ninja Signals V4 automated trading script and backtesting strategy. As you can see, our chosen settings have performed significnatly better than simple "buy and hold" strategies over the last several years (compare the green strategy profit line to the blue "buy and hold" profit line). This new TradingView feature is very powerful, because it helps traders determine if a trading strategy is more or less profitable than simply buying and holding. Just because a trading strategy produces some profit does not mean that it is worth trading, especially if simple "buy and hold" strategies out-perform your chosen trading settings. The settings used in this chart performed well even the recent bear market. As you can see in the strategy statistics, as "buy and hold" strategies were losing profit, the settings we used for our Ninja Signals V4 trading script were actually gaining profit. This new TradingView tool improves our ability to find good settings for both manual and automated trading strategies, and gives additional confirmation that profitable trading settings are better than simple "buy and hold" strategies. Furthermore, the settings we used in this chart have compounding turned off, meaning each trade is the same order size, without any reinvesting of profits. Even as our trading fund grows from this profitable trading strategy, we continue to simply place orders for the same amount each time, rather than re-investing profits to trade larger and larger amounts (known as "compounding"). If compounding is turned on, profits grow much faster, but that is beyond the scope of this publication. We will publish a separate educational idea in the future about the importance of comparing "compounding" vs "non-compounding" settings when backtesting, but for the purposes of this chart, we simply wanted to share that we were able to achieve significant profits, even in a bear market, and even with no compounding (no reinvesting of profits). In conclusion, the new TradingView "Compare to Buy & Hold" backtesting feature gives traders a powerful new tool to find better settings for their chosen trading strategy, and additional confirmation and confidence that live trading will be successful. We thank the TradingView team for adding this powerful new feature!
Education
by Bitcoin_Ninjas
1
HOW TO reverse AUDNZDUsing POW reversal strategy on this trading idea. Working AUDNZD on the 30M Strategy is set to work my chosen session times hence red shading showing when I don't trade. Chart shows a label which details all trade rules for the current live trade. That trade is another short trade like the previous trade which can be seen on chart. Blue lines show TP points, Red lines are SL points and yellow lines are my entry points. Good reverse scalping strategy with stats to back it up.
Short
by RichScott
HOW-TO: Accumulation StrategyIn this idea I will make an in-depth tutorial on how to use the Accumulation Strategy and how to automate it. █ PRESENTATION The strategy is in the form of an invite-only script providing backtesting and alerts. Here is a link to the script page: Goals  • Steady profits. Smalls profits over time and no drawdown as long as you don't sell in loss.  • Peace of mind. It is meant to be a "set it up once and let it run for a while" automated strategy.  • No loss. Never sell in loss. Drawbacks  • Small profits. No leverage, just spot trading.  • Lengthy trades. Trades can take up to several days or even weeks in worst case scenario. We will see how to avoid that. Strategy  • Use volatility. Take advantage of small waves in the market.  • Buy the dips. Use a combination of technical indicators to buy bottoms or oversold prices.  • Accumulation. Buy small amounts several times as price moves to better position yourself.  • Take profit from total volume. Sell everything once price is in profit at the configured percentage value. █ BACKTESTING Backtesting is the process of creating a strategy. Finding a good pair  • By Market Cap. Take a category you are comfortable with (DeFi, Metaverse, DAO, etc) then look at coins in the top 10 market cap.  • Volatility. The more volatile the coin is, the better.  • Ascending/Sideways trend. This is where the strategy will work the best. We will see just below how to filter off bear markets.  • Pick a timeframe. Usually from 5m to 30m, can be higher or lower. I look at the average bar, I like something around 0.5-1% bar height, the chart should not have too much noise, otherwise go higher timeframe. Though not too high, since we want to take advantage of the volatility. Build your entries You first have to create "entries" that will then end up being a buy signal, after passing through some optional filters.  • Entry settings    • Go Long/Go Short     The indicator allows to trade both sides of the market. In these examples, I will only go long-only for simplicity.    • Max active deals     This is the maximum consecutive buy signals allowed for the strategy. Example with 10: the strategy will buy up to 10 times until take profit is hit.    • Minimum bar delay between deals     Puts a minimum delay between each entry signal, in bars.    • Minimum price difference in % between deals     Sets a minimum price percentage between each entry signal. Leave at 0 to disable.  • STOCH & RSI entries   Creates entries when the RSI or STOCH crosses below a configurable value. The length and resolution of the oscillators are configurable.  • Other entries   Signals using some of my other custom indicators are BUILT-IN:    • Top & Bottoms    • Higher lows, Lower lows    • RSI Divergences Entries are combined using a OR logical gate. I usually go with RSI and STOCH entries on higher timeframe using the resolution input, then add Top & Bottoms or Higher lows if I feel like it needs more entries. Once you have chosen a combination of entries, let's move on to the filters.  • Trend Filter   You can pick a trendline from a list, usually a simple EMA 200 will do the trick. Using slope change or price cross, it will filter off entries if the market wave is bearish, thus avoiding taking risky trades.  • MTF Trend Filter   The same thing, but higher timeframe. It is used to filter with the market wave, meaning the more global trend. It is a good habit to combine the 2 trend lines to drastically reduce the risk. The Adaptive Tilson T3 is one of my favorites, combined with the CROSSOVER condition.  • RSI filter   Useful with entries other than RSI to filter overbought entries. Use a higher timeframe to filter more aggressively. I would advice to use all 3 filters if you can. It will prevent getting into lengthy trades as we will see below. Adjusting  • Backtest parameters   First you should go to the backtest parameters tab. Here is what is used in this example:    • Initial capital: 1000 €    • Order size: 100 € (the max deals is 10 here, total deals should not exceed initial capital)    • Pyramiding: 10 (the number of max deals)    • Commission: 0.075 % (Binance spot trading)  • Take Profit    Configure the take profit, in price %. I usually go with something from 1 to 4 %. In some cases, activating the trailing TP can be interesting.  • Backtest results   In addition to the strategy tester, the indicator has a backtest panel containing useful information. Here are some of it:    • Net Profit (% and fixed)     Useful to see how volatile a pair is compared to others.    • Avg # Bars in a deal     Average number of bars a trade can take to be completed. < 100 - great, > 100 - can be improved, > 200 - bad    • Avg # Days in a deal     Same information but in days.    • Max # days in a deal     Maximum number of days a trade took to be completed. < 30 - great, > 30 - can be improved, > 60 - bad Example of settings that can be improved: The Avg # bars and Max # Days in a deal are flashing red and orange. It means it can be improved. By adding the 3 filters, increasing the stoch entries timeframe and reducing the take profit to 3%, we are getting a much more secure strategy: All the settings are in green, we know that over 421 days, the maximum days a trade took is 13.78, and a trade takes 1 day in average. █ AUTOMATION When you subscribe on my website, you unlock access to the indicators but also an automation system for Binance. The system is using the indicator alerts to automatically place orders on Binance using their SPOT Trading API. You can find a tutorial here . Create a bot The first step is to create a bot for your strategy. Make sure you have enough capital in your account for the strategy. Set the order size/quantity with the same value as in the indicator backtest parameters. Create the alert I recommend to create one chart layout per strategy. Once you are done setting up the indicator, set the alert messages. You will find the text fields at the bottom of the indicator input settings. You will typically need to fill "Long Entry" with the buy message, and "Long Take Profit" with the sell message. Once you have done that, save your chart. Click add alert on the indicator. Select the condition "Alert() function calls only". Tick "Webhook URL" and set the URL. It can be the one from my bot system or if you use another bot system with webhooks it will work too. Give your alert a name and click create. Make sure the alert is created in the alert tab. The alert will save the indicator, settings and timeframe at the moment you create it. If you decide to change an indicator setting, you must remake the alert. Fees If you trade on Binance, I recommend to enable BNB Spot trading fees, and always have a few BNB on your account to pay for the fees. That way, you can use a sell 100% quantity order without needing to take fees into account, unless you are using the strategy to trade BNB. In this case, use something like sell 99% in your sell message. Supervise Once your strategy is running, you can supervise it in the strategy tester in real time, in the alert logs and in the bot logs. ═════════════════════════════════════════════════════════════════════════ █ SCRIPT ACCESS Indicator and automation tools access can be purchased on my website. The link is in my signature below. █ SAMPLE USE CASES I will update this HOW-TO idea whenever I backtest a new pair, sharing the configuration and a link to a shared chart that you can copy and edit yourself. Example on MANA/USDT: Link to the chart: www.tradingview.com Thanks for reading. More to come below.
Education
by cyatophilum
2
New ApeCoin Crypto Analysis on Consolidation and Price ActionApeCoin (APE), one of the newest cryptocurrencies to launch on the Ethereum blockchain, already ranks in the top 100 cryptos by market capitalization. However, since the APE token was only launched on March 17, we have limited historical price data to assess the market sentiment. However, even a smaller historical price data sample can tell a story of what’s happening behind the curtain. Price Consolidation After reaching an all-time high of $28.00 on the day it was launched, APE's price pulled back and is now consolidating between the $16.50 - $9.50 range zone. Short-term, within this price consolidation, we can see some upside pressure. Up from the $9.50 support level, APE's price is trading within an ascending channel, with the price making a series of higher highs followed by a series of higher lows. Additionally, the RSI oscillator broke above the 50 mid-level to signal a strong bullish momentum behind the move. On the daily chart, we also have the potential of developing the 3 white soldiers pattern, which calls for a continuation to the upside. Looking forward: While the $10.00 psychological level holds the ground, the bulls have the upper hand. At the same time, a clear breakout above $16.50 can open up the door for a test of the next resistance, namely $20.00 followed by the all-time high of $28.00.
by cryptohopper
CADJPY buy running ⤴️🙌Our trend follow EDGE strategy is being use on this trade. Entry details are shown on the chart. Trade has been live since 2:00 am UK time. I automate my tradingview alerts so have been in trade since then. Working the H1 time frame here and we're only looking for TP3. Trades spent quite a bit of time in draw down after alert presented. Has started to head in right direction but lets see where we end up. As always trade history can be seen at the foot of this trade idea too for full transparency. ------------------------------------------ I try and share as many ideas as I can as and when I have time. My trades are automated so I am not sat in front of a screen daily. Jumping on random trade ideas 'willy-nilly' on Trading View trying to find that one trade that you can retire from is not a sustainable way to trade. You might get lucky, but it will always end one way. ------------------------------------------ Please hit the 👍 LIKE button if you like my ideas🙏 Also follow my profile, then you will receive a notification whenever I post a trading idea - so you don't miss them. 🙌 No one likes missing out, do they? Also, see my 'related ideas' below to see more just like this. The stats for this pair are shown below too. Thank you. Darren.
Long
by pow_removetheguesswork
EURNZD long just alerted 📈🛎️Utilising our POW reversal strategy for this trade a EURNZD short. Trade details for current trade are shown on the chart. We are working the 15M time frame on this strategy. We're looking for the green line which is take profit target. Little blue arrow is entry point and purple line is stop loss. Previous trades also can be seen on chart and it's a busy strategy this one. This is third trade of day and looking to go 3 out of 3. Trade history can be seen at the foot of this trade idea too for full transparency. In that box every trade is logged and can be viewed by clicking the tabs in the report box. You as the viewer of this idea can also do that so go ahead and have a play. ------------------------------------------ I try and share as many ideas as I can as and when I have time. My trades are automated so I am not sat in front of a screen daily. Jumping on random trade ideas 'willy-nilly' on Trading View trying to find that one trade that you can retire from is not a sustainable way to trade. You might get lucky, but it will always end one way. ------------------------------------------ Please hit the 👍 LIKE button if you like my ideas🙏 Also follow my profile, then you will receive a notification whenever I post a trading idea - so you don't miss them. 🙌 No one likes missing out, do they? Also, see my 'related ideas' below to see more just like this. The stats for this pair are shown below too. Thank you. Darren
Long
by pow_removetheguesswork
EURGBP short closing on target 🎯We are using our POW reversal strategy for this trade. Trade details for current trade are shown on the chart. Trade presented at 17:00 UK time yesterday and has progressed well. Late share but I was away from the screen by that time yesterday. Take nothing for granted it's not hit TP yet so lets see if we can go two out two for this strategy. We are working the 15M time frame on this strategy. We're looking for the green line which is take profit target. Little red arrow is entry point and purple line is stop loss. Previous trade can be seen on chart, also a short which found its desired TP target. Trade history can be seen at the foot of this trade idea too for full transparency. ------------------------------------------ I try and share as many ideas as I can as and when I have time. My trades are automated so I am not sat in front of a screen daily. Jumping on random trade ideas 'willy-nilly' on Trading View trying to find that one trade that you can retire from is not a sustainable way to trade. You might get lucky, but it will always end one way. ------------------------------------------ Please hit the 👍 LIKE button if you like my ideas🙏 Also follow my profile, then you will receive a notification whenever I post a trading idea - so you don't miss them. 🙌 No one likes missing out, do they? Also, see my 'related ideas' below to see more just like this. The stats for this pair are shown below too. Thank you. Darren
Short
by pow_removetheguesswork