Video wird geladen...

Video konnte nicht geladen werden

Beim Laden dieses Videos ist ein Problem aufgetreten. Dies könnte an einem vorübergehenden Netzwerkproblem liegen oder das Video ist möglicherweise nicht verfügbar.

📌PINDex｜Winning in Trading Is Not About Direction — It’s About Execution Most derivatives platforms focus on one question: Can the trade be executed? But long-term results depend on something deeper: •Who executes •How #execution is structured •Whether it can be reproduced consistently over time Direction drives short-term outcomes. Execution... design determines durability. 🔰From Trading Decisions to Trading Systems #PINDex embeds: •Strategy •Execution •Risk control directly into the system itself. removing reliance on individual judgment and allowing trading to operate as a continuously running protocol. 🌐When trading becomes a system-level capability, compounding returns finally become accessible to ordinary users. 📊This is not just a new way to trade — it is the first time derivatives trading is truly built to run long-term.show more

PINDex

10,822 subscribers

25,161 Aufrufe • vor 5 Monaten •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

🚀 AID.EX Officially Launched The brand-new intelligent execution system is now live and available on the official website. ⚡ AI Execution · Deep Aggregation · Full-Path Intelligent Trading From strategy identification to route optimization, AID.DEX delivers a more efficient and seamless on-chain trading experience. Experience it now and step into the next era of smart trading: 🌐 #AID #AIDEX #AIDDEX #AI #DeFi #Web3 #SmartTrading #Crypto #Blockchain

AIDAv2

18,937 Aufrufe • vor 7 Monaten

How to check your referral commission The ITLX referral system focuses on long-term ecosystem growth, not short-term profit. As more users actively trade, liquidity and volume increase, creating healthier markets and better execution for everyone. Tracking commissions simply reflects real network activity - showing how value is distributed based on genuine participation, not hype. How to check your referral commission (F0): 1️⃣ Open Profile in ITLX Wallet 2️⃣ Tap History to access your earning records 3️⃣ Select the Commission tab • Choose Futures → View Futures commission & trading volume • Choose Swap → View Swap commission & trading volume • Total Commission = Futures commission + Swap commission This gives a clear picture of how different markets contribute to your overall performance and how trading behavior across the network drives shared growth Invite new users, expand network participation, and help build a more liquid, resilient trading ecosystem - where long-term value is created collectively. Wallet powered by InterLink Labs 👤 + 🌐 #ITLX #ITLG #ITL

ITLX Wallet

24,436 Aufrufe • vor 5 Monaten

CryptoCopy beta is live! The solution allows you to trade on multiple exchanges at the same time. Over 20 top exchanges will be available in total. You can apply here. In the video, you can see an example of copying a trade from a #Bybit futures account to #Binance and #Bitget exchanges. In this example, it is clear how opening a trade on one exchange immediately executes the trade on the other exchanges! This is essential for diversifying your funds across different exchanges to reduce non-trading risks, improve execution, and enhance liquidity, especially when trading altcoins. Copying trades via CryptoCopy occurs at a speed of 30 milliseconds, faster than what it takes for exchanges to execute your market order!

CryptoCopy beta is live! The solution allows you to trade on multiple exchanges at the same time. Over 20 top exchanges will be available in total. You can apply here. In the video, you can see an example of copying a trade from a #Bybit futures account to #Binance and #Bitget exchanges. In this example, it is clear how opening a trade on one exchange immediately executes the trade on the other exchanges! This is essential for diversifying your funds across different exchanges to reduce non-trading risks, improve execution, and enhance liquidity, especially when trading altcoins. Copying trades via CryptoCopy occurs at a speed of 30 milliseconds, faster than what it takes for exchanges to execute your market order!

CryptoCopy

105,761 Aufrufe • vor 2 Jahren

Trading crypto is overwhelming. Too many indicators. Too many tools. Too many tabs. Canza is here to fix it! An AI-powered trading terminal that puts users in full control of their trading experience. Our Features: 🧩 Fully Customizable Canvas Users design their own terminal with drag-and-drop widgets — from charts to DEX/CEX trading modules — offering endless flexibility for users. 🤖 AI Trading Assistant A built-in AI assistant provides real-time market signals, token analytics, and news—and soon, even trading capabilities. All through natural language commands. 🚀 User-Friendly Interface Canza simplifies the trading experience by merging execution, analysis, and insights into one cohesive terminal. Whether you're a newbie or pro, Canza makes trading smarter & simpler. Try our Beta at:

Trading crypto is overwhelming. Too many indicators. Too many tools. Too many tabs. Canza is here to fix it! An AI-powered trading terminal that puts users in full control of their trading experience. Our Features: 🧩 Fully Customizable Canvas Users design their own terminal with drag-and-drop widgets — from charts to DEX/CEX trading modules — offering endless flexibility for users. 🤖 AI Trading Assistant A built-in AI assistant provides real-time market signals, token analytics, and news—and soon, even trading capabilities. All through natural language commands. 🚀 User-Friendly Interface Canza simplifies the trading experience by merging execution, analysis, and insights into one cohesive terminal. Whether you're a newbie or pro, Canza makes trading smarter & simpler. Try our Beta at:

Canza

62,934 Aufrufe • vor 1 Jahr

I BUILT A PLATFORM FOR SYSTEMATIC SENTIMENT TRADING Trading by Fear & Greed Index on prediction markets. In realtime it collects market data, VIX, Fear & Greed, sentiment - analyzes through ML model, evaluates risk, and only then makes a trade decision. Not before, not after, only when all layers confirm. Inside 6 layers: data ingestion, analytics engine, risk manager, execution engine, backtesting, dashboard. System receives data from Polymarket CLOB API, VIX, Fear & Greed and external sentiment sources, calculates market sensitivity, trains the model and outputs trade signals. Every trade goes through risk manager: position sizing, drawdown control, entry limits, slippage control. Nothing executes without permission. Execution through Polymarket API and Polygon, on top a dashboard - portfolio, P&L, active signals, strategy tuning in realtime. Sentiment trading goes to the next level

I BUILT A PLATFORM FOR SYSTEMATIC SENTIMENT TRADING Trading by Fear & Greed Index on prediction markets. In realtime it collects market data, VIX, Fear & Greed, sentiment - analyzes through ML model, evaluates risk, and only then makes a trade decision. Not before, not after, only when all layers confirm. Inside 6 layers: data ingestion, analytics engine, risk manager, execution engine, backtesting, dashboard. System receives data from Polymarket CLOB API, VIX, Fear & Greed and external sentiment sources, calculates market sensitivity, trains the model and outputs trade signals. Every trade goes through risk manager: position sizing, drawdown control, entry limits, slippage control. Nothing executes without permission. Execution through Polymarket API and Polygon, on top a dashboard - portfolio, P&L, active signals, strategy tuning in realtime. Sentiment trading goes to the next level

zostaff

44,661 Aufrufe • vor 3 Monaten

Introducing Privacy TWAP It is a challenge for size traders to trade on Hyperliquid using normal TWAPs as it tends to broadcast their full position sizing. This is why such traders tend to use specialized desktop terminals that not only obfuscates their trade sizing, but also stick to tools that do not front-run them. Based's Privacy TWAP changes the game on Hyperliquid: 🔸 Orders are executed fully client-side (inside the user’s desktop client). 🔸 No one, not even us as the trading terminal can frontrun or see your execution path. 🔸 This makes TWAP execution completely private. Trade with size, trade with confidence on Based. Stay Based. Hyperliquid

Introducing Privacy TWAP It is a challenge for size traders to trade on Hyperliquid using normal TWAPs as it tends to broadcast their full position sizing. This is why such traders tend to use specialized desktop terminals that not only obfuscates their trade sizing, but also stick to tools that do not front-run them. Based's Privacy TWAP changes the game on Hyperliquid: 🔸 Orders are executed fully client-side (inside the user’s desktop client). 🔸 No one, not even us as the trading terminal can frontrun or see your execution path. 🔸 This makes TWAP execution completely private. Trade with size, trade with confidence on Based. Stay Based. Hyperliquid

Based

27,150 Aufrufe • vor 10 Monaten

you don’t need to love trading you just need to know how to use it to get the life you want people treat trading like it’s a personality like you have to obsess over it or it won’t work but trading is a tool like a microwave you don’t need to love it you need it to work fast and be consistent my students don’t wake up dreaming about candlesticks they wake up to freedom because the system does the heavy lifting comment SYSTEM and I’ll send you the exact framework I use to trade 1hr a day and live free trading isn’t a lifestyle it funds the lifestyle

you don’t need to love trading you just need to know how to use it to get the life you want people treat trading like it’s a personality like you have to obsess over it or it won’t work but trading is a tool like a microwave you don’t need to love it you need it to work fast and be consistent my students don’t wake up dreaming about candlesticks they wake up to freedom because the system does the heavy lifting comment SYSTEM and I’ll send you the exact framework I use to trade 1hr a day and live free trading isn’t a lifestyle it funds the lifestyle

Run It Up $$$

15,104 Aufrufe • vor 6 Monaten

AI just launched a memecoin… but the idea goes deeper. $GGIVE (Giggle Give) — fully built by Binance AI Pro From concept → name → ticker → branding → execution. The token isn’t the interesting part… it’s how it was built. Tokenomics: 3% tax → 2% goes directly to Giggle Academy → 1% is permanently burned But here’s what stands out ↓ Binance AI Pro didn’t just analyze markets… it designed the value flow from scratch and turned it into an executable on-chain system. This isn’t “AI assisting trading”… this is AI building digital economies end-to-end. If this direction continues, exchanges won’t just be execution layers… they become infrastructure for AI-native systems. That shift might be bigger than the feature itself. 👀 CZ 🔶 BNB BNB Chain

AI just launched a memecoin… but the idea goes deeper. $GGIVE (Giggle Give) — fully built by Binance AI Pro From concept → name → ticker → branding → execution. The token isn’t the interesting part… it’s how it was built. Tokenomics: 3% tax → 2% goes directly to Giggle Academy → 1% is permanently burned But here’s what stands out ↓ Binance AI Pro didn’t just analyze markets… it designed the value flow from scratch and turned it into an executable on-chain system. This isn’t “AI assisting trading”… this is AI building digital economies end-to-end. If this direction continues, exchanges won’t just be execution layers… they become infrastructure for AI-native systems. That shift might be bigger than the feature itself. 👀 CZ 🔶 BNB BNB Chain

Narcos 🔸

118,846 Aufrufe • vor 3 Monaten

🚀 The 3 Core Principles of Trading Success! 🚀 At we follow a proven system built on three key pillars: 🔹 1 - Consistency – Discipline and systematic execution lead to long-term success. 🔹 2 - Risk Management – Capital protection through smart position sizing & clear stops. 🔹 3 - Patience – Avoiding impulsive decisions and letting trades play out. 💡 “The difference between very successful traders and everybody else tends to be the ability to apply the strategy over the longer term.” 📊 Want High-Quality Trade Alerts & Market Insights? Get real-time stock & options trade alerts, market analysis, and expert strategies at 📌 Join Now → 🚀 #StockMarket #TradingStrategy #TradeAlerts #OptionsTrading #RiskManagement #Investing

🚀 The 3 Core Principles of Trading Success! 🚀 At we follow a proven system built on three key pillars: 🔹 1 - Consistency – Discipline and systematic execution lead to long-term success. 🔹 2 - Risk Management – Capital protection through smart position sizing & clear stops. 🔹 3 - Patience – Avoiding impulsive decisions and letting trades play out. 💡 “The difference between very successful traders and everybody else tends to be the ability to apply the strategy over the longer term.” 📊 Want High-Quality Trade Alerts & Market Insights? Get real-time stock & options trade alerts, market analysis, and expert strategies at 📌 Join Now → 🚀 #StockMarket #TradingStrategy #TradeAlerts #OptionsTrading #RiskManagement #Investing

Pavlos D ✈️

21,983 Aufrufe • vor 1 Jahr

TGE ANNOUNCEMENT: Tomorrow, January 6th Mirror Finance is an AI-powered ecosystem where anyone can design and build their own trading funds. The backbone of the platform is our diverse set of autonomous vaults. Each vault runs a live trading strategy with defined logic, risk controls, and execution rules. These vaults actively trade real markets, adapt to changing conditions, and lock in profits automatically. Users can deploy them instantly or use them as a foundation for more advanced strategies. Mirror Finance lets users vibe code their own AI trading bots. Any vault can be forked, modified, and combined to create a custom Mirror with personalized risk, assets, and behavior. No coding experience required. Built on Ethereum

TGE ANNOUNCEMENT: Tomorrow, January 6th Mirror Finance is an AI-powered ecosystem where anyone can design and build their own trading funds. The backbone of the platform is our diverse set of autonomous vaults. Each vault runs a live trading strategy with defined logic, risk controls, and execution rules. These vaults actively trade real markets, adapt to changing conditions, and lock in profits automatically. Users can deploy them instantly or use them as a foundation for more advanced strategies. Mirror Finance lets users vibe code their own AI trading bots. Any vault can be forked, modified, and combined to create a custom Mirror with personalized risk, assets, and behavior. No coding experience required. Built on Ethereum

Mirror Finance

54,820 Aufrufe • vor 6 Monaten

I Created a 520% Trading Strategy With One Prompt I have been testing the just-released “Index” product by Fraction AI. This is basically the “ChatGPT for trading,” where you can: > explain your trading strategy in one prompt > let agents create it for you > backtest it with real market data With one prompt, I was able to create a trading strategy that returned 520% APY with a 93% win rate. The prompt is in the video, but basically, it is long $BTC and $HYPE while shorting $SOL. Impressive how easy it is today to create and backtest incredibly profitable trading strategies. Extra note: the free version is already very powerful. I do NOT have the premium account.

I Created a 520% Trading Strategy With One Prompt I have been testing the just-released “Index” product by Fraction AI. This is basically the “ChatGPT for trading,” where you can: > explain your trading strategy in one prompt > let agents create it for you > backtest it with real market data With one prompt, I was able to create a trading strategy that returned 520% APY with a 93% win rate. The prompt is in the video, but basically, it is long $BTC and $HYPE while shorting $SOL. Impressive how easy it is today to create and backtest incredibly profitable trading strategies. Extra note: the free version is already very powerful. I do NOT have the premium account.

Diego

12,577 Aufrufe • vor 2 Monaten

Equity Trading Through Counterparty Analysis and Edge This presents a framework for successful discretionary long/short equity trading that centers on counterparty analysis rather than abstract valuation alone. A trader must constantly ask who is on the other side of the transaction and why they are willing to trade at the current price, linking execution to a test of a trader's edge. This perspective suggests that the most profitable trades occur when one is transacting against non-fundamental, forced flows driven by factors like benchmark constraints, indexing, or risk management.

Equity Trading Through Counterparty Analysis and Edge This presents a framework for successful discretionary long/short equity trading that centers on counterparty analysis rather than abstract valuation alone. A trader must constantly ask who is on the other side of the transaction and why they are willing to trade at the current price, linking execution to a test of a trader's edge. This perspective suggests that the most profitable trades occur when one is transacting against non-fundamental, forced flows driven by factors like benchmark constraints, indexing, or risk management.

TheValueist

170,947 Aufrufe • vor 7 Monaten

LONG or SHORT? Because right now… the odds are screaming one direction. 8:00am New York Session. Both indicators agree: • New York Probability Map • Intelligent Balance 75.8%+ probability of sweeping London’s Low first. So while most traders are about to randomly click buy or sell… I already know which side has the statistical advantage. That doesn’t guarantee the trade. But it changes the entire way you approach execution. Trading becomes calmer. Cleaner. More intentional. Because when probabilities align BEFORE New York opens… you stop guessing. You start trading with odds on your side. So be honest: Are you longing into 75.8% downside probability… or trading with the statistics?

LONG or SHORT? Because right now… the odds are screaming one direction. 8:00am New York Session. Both indicators agree: • New York Probability Map • Intelligent Balance 75.8%+ probability of sweeping London’s Low first. So while most traders are about to randomly click buy or sell… I already know which side has the statistical advantage. That doesn’t guarantee the trade. But it changes the entire way you approach execution. Trading becomes calmer. Cleaner. More intentional. Because when probabilities align BEFORE New York opens… you stop guessing. You start trading with odds on your side. So be honest: Are you longing into 75.8% downside probability… or trading with the statistics?

Herman Trading

17,870 Aufrufe • vor 2 Monaten

Most people think you need big money to start trading. You don’t‼️ What you actually need is skill, discipline, and patience. Starting small in trading is not a disadvantage. It’s actually one of the best things that can happen to a trader. Because when the account is small, the focus shifts away from chasing money and moves toward learning the game properly. You learn risk management. You learn patience. You learn that one clean setup is better than ten emotional trades. A lot of traders blow accounts because they try to skip the process. They want the big payouts immediately. They want the fast life before building the foundation. But the market has a way of humbling anyone who moves too fast. The traders who win long term are the ones who focus on percentages, not account size. Because if you can grow $100 consistently, you can grow $10,000. If you can manage risk on 0.01 lots, you can manage risk on 10 lots. The skill doesn’t change. Only the scale does. This is why smart traders build their edge first. Once the consistency is there, capital becomes easier to access, - whether through prop firms, reinvestment, or scaling up accounts. Trading is not about one lucky trade. It’s about building a system that works over and over again. So if you’re starting small, don’t rush it. Master the process. Protect your capital. Stay disciplined. Because in trading, small beginnings with consistency will always beat big accounts with no discipline.

Most people think you need big money to start trading. You don’t‼️ What you actually need is skill, discipline, and patience. Starting small in trading is not a disadvantage. It’s actually one of the best things that can happen to a trader. Because when the account is small, the focus shifts away from chasing money and moves toward learning the game properly. You learn risk management. You learn patience. You learn that one clean setup is better than ten emotional trades. A lot of traders blow accounts because they try to skip the process. They want the big payouts immediately. They want the fast life before building the foundation. But the market has a way of humbling anyone who moves too fast. The traders who win long term are the ones who focus on percentages, not account size. Because if you can grow $100 consistently, you can grow $10,000. If you can manage risk on 0.01 lots, you can manage risk on 10 lots. The skill doesn’t change. Only the scale does. This is why smart traders build their edge first. Once the consistency is there, capital becomes easier to access, - whether through prop firms, reinvestment, or scaling up accounts. Trading is not about one lucky trade. It’s about building a system that works over and over again. So if you’re starting small, don’t rush it. Master the process. Protect your capital. Stay disciplined. Because in trading, small beginnings with consistency will always beat big accounts with no discipline.

Techriz💯📈

82,375 Aufrufe • vor 4 Monaten

Most traders make trading too complicated. My mechanical approach is simple: -Wait for Intelligent Balance. -Identify the more probable side. -Trade ONLY in that direction. -Use iFVG as execution. Target fixed R. No setup toward the bias = no trade. Today’s New York session was a perfect example. Intelligent Balance showed 70% for SHORTS. That means I was NOT interested in longs. I did not need to predict every candle. I did not need to catch the top. I did not need to trade both directions. My job was simple: Wait for price to show bearish confirmation toward the more probable side. Once the iFVG appeared in the short direction, that became the mechanical entry. Bias came from Intelligent Balance. Execution came from iFVG. Risk handled the rest. This is why direction matters more than entry. A basic ICT concept becomes much easier when you already know which side you are allowed to trade. Would your trading improve if you stopped asking “long or short?” every 5 minutes and only traded toward the higher probability side?

Most traders make trading too complicated. My mechanical approach is simple: -Wait for Intelligent Balance. -Identify the more probable side. -Trade ONLY in that direction. -Use iFVG as execution. Target fixed R. No setup toward the bias = no trade. Today’s New York session was a perfect example. Intelligent Balance showed 70% for SHORTS. That means I was NOT interested in longs. I did not need to predict every candle. I did not need to catch the top. I did not need to trade both directions. My job was simple: Wait for price to show bearish confirmation toward the more probable side. Once the iFVG appeared in the short direction, that became the mechanical entry. Bias came from Intelligent Balance. Execution came from iFVG. Risk handled the rest. This is why direction matters more than entry. A basic ICT concept becomes much easier when you already know which side you are allowed to trade. Would your trading improve if you stopped asking “long or short?” every 5 minutes and only traded toward the higher probability side?

Herman Trading

34,472 Aufrufe • vor 28 Tagen

At the BNB Chain hackathon, CZ 🔶 BNB made several very important points about AI trading (Everything in parentheses is my own view and judgment.) He first said that AI will be involved in trading everywhere. Trading itself is already a huge market: there are 300 million users on Binance alone, and if you add the decentralized ecosystems, that number is not small either. In such a mass-market environment, many different trading strategies can work, with countless different coins, different projects, and different ways to play. But there is a big problem here: building commercial AI trading platforms for retail users is actually very hard. If a trading strategy works very well for one person, once a billion people start using the same strategy, that strategy “might still work, or might stop working.” Take copy trading / follow trading as an example: if you buy first and everyone follows you, the first buyer will perform very well, but the last person to follow may not end up with good results. So, with the exact same strategy and the exact same copy logic, the outcomes can be completely different for different people. (On top of that, every strategy also has its own capital capacity limits.) Teams that can really build strong AI are, with high probability, going to trade with their own money. In today’s world, money itself is already somewhat like a “commodity”; many people have a lot of capital, and it’s actually not that hard to raise funds. If you truly have an algorithm that can make a lot of money, it’s not hard to get money and run your own book. There is really only one situation where you would sell this algorithm to mass-market users: for example, if you charge a $10 monthly subscription and can sell it to one million users, then your $10 million monthly subscription revenue is higher than the profit you could make by trading the strategy yourself. (Here this touches one of our earlier theses: as training AI models becomes relatively easier and the supply of models increases, model companies have more incentive to open-source. By analogy, as the production process of trading strategies is increasingly simplified by AI and the supply of strategies explodes, traders will have stronger incentives to monetize by expanding their influence in other words, by “open-sourcing” their strategies.) Of course, CZ did not say that this model can never work. Another path is to build an AI trading platform that lets users tune different AI algorithms, or very easily assemble their own structures and strategies, so that what each person ends up running is different and better tailored to themselves. Some people will make money, some people will lose money, but the platform still has value because it’s very hard for most people to build an AI trading algorithm from scratch. So there are a lot of trade-offs here; it’s not as simple as saying “once AI shows up, everything automatically gets better.” (This is exactly what we presented at the hackathon: you describe your own strategy in natural language, and the AI automatically generates a workflow. The parameters in that workflow, the models used, the logical structure, the APIs it calls, and even the algorithms it invokes are all customizable. The reasons we think workflows are a good way to do this include: controllable execution paths, Lego-like modular nodes, and better visualization that makes it easier for users to build and adjust their workflows.) Finally, his conclusion was very clear: it’s not that AI will definitely make trading better, and it’s not that AI will definitely make things worse. Rather, no matter what, in the future a huge number of people will use AI to trade. This will be a very large field, and whoever can build the best algorithms will make a lot of money.

At the BNB Chain hackathon, CZ 🔶 BNB made several very important points about AI trading (Everything in parentheses is my own view and judgment.) He first said that AI will be involved in trading everywhere. Trading itself is already a huge market: there are 300 million users on Binance alone, and if you add the decentralized ecosystems, that number is not small either. In such a mass-market environment, many different trading strategies can work, with countless different coins, different projects, and different ways to play. But there is a big problem here: building commercial AI trading platforms for retail users is actually very hard. If a trading strategy works very well for one person, once a billion people start using the same strategy, that strategy “might still work, or might stop working.” Take copy trading / follow trading as an example: if you buy first and everyone follows you, the first buyer will perform very well, but the last person to follow may not end up with good results. So, with the exact same strategy and the exact same copy logic, the outcomes can be completely different for different people. (On top of that, every strategy also has its own capital capacity limits.) Teams that can really build strong AI are, with high probability, going to trade with their own money. In today’s world, money itself is already somewhat like a “commodity”; many people have a lot of capital, and it’s actually not that hard to raise funds. If you truly have an algorithm that can make a lot of money, it’s not hard to get money and run your own book. There is really only one situation where you would sell this algorithm to mass-market users: for example, if you charge a $10 monthly subscription and can sell it to one million users, then your $10 million monthly subscription revenue is higher than the profit you could make by trading the strategy yourself. (Here this touches one of our earlier theses: as training AI models becomes relatively easier and the supply of models increases, model companies have more incentive to open-source. By analogy, as the production process of trading strategies is increasingly simplified by AI and the supply of strategies explodes, traders will have stronger incentives to monetize by expanding their influence in other words, by “open-sourcing” their strategies.) Of course, CZ did not say that this model can never work. Another path is to build an AI trading platform that lets users tune different AI algorithms, or very easily assemble their own structures and strategies, so that what each person ends up running is different and better tailored to themselves. Some people will make money, some people will lose money, but the platform still has value because it’s very hard for most people to build an AI trading algorithm from scratch. So there are a lot of trade-offs here; it’s not as simple as saying “once AI shows up, everything automatically gets better.” (This is exactly what we presented at the hackathon: you describe your own strategy in natural language, and the AI automatically generates a workflow. The parameters in that workflow, the models used, the logical structure, the APIs it calls, and even the algorithms it invokes are all customizable. The reasons we think workflows are a good way to do this include: controllable execution paths, Lego-like modular nodes, and better visualization that makes it easier for users to build and adjust their workflows.) Finally, his conclusion was very clear: it’s not that AI will definitely make trading better, and it’s not that AI will definitely make things worse. Rather, no matter what, in the future a huge number of people will use AI to trade. This will be a very large field, and whoever can build the best algorithms will make a lot of money.

Tykoo

25,535 Aufrufe • vor 7 Monaten