quantitativetrading
1,895 skatījumi
18 piedalās diskusijā
Populārie
Jaunumi
Skatīt oriģinālu
AlphaZero evolūcijas žurnāls - Dienas peļņa 10%
AlphaZero evolūcijas žurnāls: V45.5 "The Scholar" (Zinātnieks) 🚀
No V41 "aklā skripta" līdz šodienas "silīkām dzīvībai", mans vietējais AI tirgus sistēma veica svarīgāko evolūcijas soli. Tas nav vienkāršs uzlabojums, tas ir sugas pārveidošanās.
🧠 Smadzenes (The Brains): RAG zināšanu ievietošana Tā vairs nesmeļas K līnijā. Es tam baroju SMC teoriju, cenu uzvedību un tendenču kaujas metodes (.txt). Tagad DeepSeek pirms darījuma veikšanas pirms tam "pārbauda karaspēka grāmatas", pamatojoties uz loģiku.
🛡 Risks pārvaldība (The Reaper): ATR inteligentais kāršana Atmetiet fiksu stopa. Ieviesta ATR svārstību aprēķins:
No V41 "aklā skripta" līdz šodienas "silīkām dzīvībai", mans vietējais AI tirgus sistēma veica svarīgāko evolūcijas soli. Tas nav vienkāršs uzlabojums, tas ir sugas pārveidošanās.
🧠 Smadzenes (The Brains): RAG zināšanu ievietošana Tā vairs nesmeļas K līnijā. Es tam baroju SMC teoriju, cenu uzvedību un tendenču kaujas metodes (.txt). Tagad DeepSeek pirms darījuma veikšanas pirms tam "pārbauda karaspēka grāmatas", pamatojoties uz loģiku.
🛡 Risks pārvaldība (The Reaper): ATR inteligentais kāršana Atmetiet fiksu stopa. Ieviesta ATR svārstību aprēķins:
Tulkot
📈🤖 Quant strategy in motion 🚀
ROI +11.76% in 7 days 💰 – no accident 🎯
Every move 📊 is data, every decision 🛡️ is a plan
#LuckyJoy 🍀#Quantitativetrading #ALGO #RiskControl
ROI +11.76% in 7 days 💰 – no accident 🎯
Every move 📊 is data, every decision 🛡️ is a plan
#LuckyJoy 🍀#Quantitativetrading #ALGO #RiskControl
Skatīt oriģinālu
🚨AS Federal Reserve oficiāli ir noslēgusi savu kvantitatīvās atslābināšanas programmu. 🚨 #Fed #FedBeigeBook #Quantitativetrading $BTC
Skatīt oriģinālu
Fenomens WPOne Indonēzijā: Vai ir kādi tirdzniecības roboti, kas var pārspēt tā sniegumu?
Pēdējā laikā nosaukums WPOne tiek plaši apspriests Indonēzijā kā platforma, kas piedāvā fantastisku peļņu, izmantojot kvantitatīvo tirdzniecību. WPOne apgalvo, ka spēj radīt 2% ROI dienā ar ikdienas kompozīciju, kas, ja to aprēķina, var radīt ļoti lielu atdevi īsā laikā.
Tomēr rodas jautājums: Vai tas ir normāli vai drīzāk norāde uz krāpniecības shēmu?
Tirdzniecības pasaulē kvantitatīvā tirdzniecība patiešām ir likumīga metode, ko izmanto lielas hedžfondi, piemēram, Renaissance Technologies un Citadel. Tomēr 2% ROI dienā konsekventi ir ļoti augsts rādītājs un nav ierasts ļoti svārstīgajos finanšu tirgos. Pat labākie tirdzniecības roboti Binance reti sasniedz šo skaitli ilgtermiņā bez lieliem riskiem.
Tomēr rodas jautājums: Vai tas ir normāli vai drīzāk norāde uz krāpniecības shēmu?
Tirdzniecības pasaulē kvantitatīvā tirdzniecība patiešām ir likumīga metode, ko izmanto lielas hedžfondi, piemēram, Renaissance Technologies un Citadel. Tomēr 2% ROI dienā konsekventi ir ļoti augsts rādītājs un nav ierasts ļoti svārstīgajos finanšu tirgos. Pat labākie tirdzniecības roboti Binance reti sasniedz šo skaitli ilgtermiņā bez lieliem riskiem.
Tulkot
WHAT IS QUANTITATIVE TRADING? – HOW MONEY IS MADE THROUGH MATH
1. What is Quantitative Trading?
Quantitative trading is a method that uses algorithms, statistics, and mathematical models to make buying and selling decisions in financial markets—such as stocks, cryptocurrencies, and forex.
Instead of relying on emotions or news, quantitative traders base their decisions on historical data and computational tools to build strategies with high probability of success.
2. How Does Quantitative Trading Work?
The process typically includes 4 main steps:
Data Collection: Gather price data, trading volume, fundamental or technical information from markets.
Model Development: Apply statistical techniques, machine learning, or mathematical logic to find patterns and build strategies.
Backtesting: Test the model using historical data to evaluate its performance.
Live Execution: If the model performs well and has controlled risk, it’s deployed in real trading via automation or trading bots.
3. Advantages of Quantitative Trading
Discipline: Eliminates emotional decision-making.
Speed: Can process thousands of trading signals per second.
Risk Optimization: Mathematical models allow better risk control.
Diversification: Able to trade across multiple assets and markets simultaneously.
4. Who Uses Quantitative Trading?
Large hedge funds like Renaissance Technologies, Citadel.
Individual traders with skills in programming and finance.
Exchanges and financial institutions that use it for liquidity and arbitrage.
5. How Can I Start Learning Quantitative Trading?
You don’t need a PhD in math to start. Here’s a basic learning path:
Foundational knowledge: Finance, statistics, probability.
Tools to learn: Python, Excel, SQL, backtesting frameworks (like Backtrader, QuantConnect).
CONCLUSION
Quantitative trading isn’t an easy road, but it gives you a real edge in the market through knowledge and data. In an era ruled by AI and big data, those who master algorithms will master profits.
#Quantitativetrading
1. What is Quantitative Trading?
Quantitative trading is a method that uses algorithms, statistics, and mathematical models to make buying and selling decisions in financial markets—such as stocks, cryptocurrencies, and forex.
Instead of relying on emotions or news, quantitative traders base their decisions on historical data and computational tools to build strategies with high probability of success.
2. How Does Quantitative Trading Work?
The process typically includes 4 main steps:
Data Collection: Gather price data, trading volume, fundamental or technical information from markets.
Model Development: Apply statistical techniques, machine learning, or mathematical logic to find patterns and build strategies.
Backtesting: Test the model using historical data to evaluate its performance.
Live Execution: If the model performs well and has controlled risk, it’s deployed in real trading via automation or trading bots.
3. Advantages of Quantitative Trading
Discipline: Eliminates emotional decision-making.
Speed: Can process thousands of trading signals per second.
Risk Optimization: Mathematical models allow better risk control.
Diversification: Able to trade across multiple assets and markets simultaneously.
4. Who Uses Quantitative Trading?
Large hedge funds like Renaissance Technologies, Citadel.
Individual traders with skills in programming and finance.
Exchanges and financial institutions that use it for liquidity and arbitrage.
5. How Can I Start Learning Quantitative Trading?
You don’t need a PhD in math to start. Here’s a basic learning path:
Foundational knowledge: Finance, statistics, probability.
Tools to learn: Python, Excel, SQL, backtesting frameworks (like Backtrader, QuantConnect).
CONCLUSION
Quantitative trading isn’t an easy road, but it gives you a real edge in the market through knowledge and data. In an era ruled by AI and big data, those who master algorithms will master profits.
#Quantitativetrading
Tulkot
📘 What makes Lorenzo different from other DeFi platforms?
Most platforms focus only on liquidity or trading. Lorenzo enables institutional-grade capital allocation through tokenized financial strategies, mirroring how hedge funds operate— but now fully on-chain!
🔍 Key Innovation: ✔ On-Chain Traded Funds
✔ Smart vault routing system
✔ Strategy automation & optimization
✔ Exposure to structured yield strategies
✔ Vote-based token governance via veBANK
🧠 This hybrid model of TradFi + DeFi could be a game changer. That’s why I’m personally committed to pushing high-value posts all campaign long.
Join the movement 🔥
#lorenzoprotocol $BANK #BlockchainFinanceUpdate #VaultAI #Quantitativetrading
Most platforms focus only on liquidity or trading. Lorenzo enables institutional-grade capital allocation through tokenized financial strategies, mirroring how hedge funds operate— but now fully on-chain!
🔍 Key Innovation: ✔ On-Chain Traded Funds
✔ Smart vault routing system
✔ Strategy automation & optimization
✔ Exposure to structured yield strategies
✔ Vote-based token governance via veBANK
🧠 This hybrid model of TradFi + DeFi could be a game changer. That’s why I’m personally committed to pushing high-value posts all campaign long.
Join the movement 🔥
#lorenzoprotocol $BANK #BlockchainFinanceUpdate #VaultAI #Quantitativetrading
Pieraksties, lai skatītu citu saturu