已经申请接近1周了，还没通过，也不知道什么情况 1 个帖子 - 1 位参与者 阅读完整话题
Hey everyone, I'm a systems programmer with experience in Go and Rust , and I'm looking to build a serious, production-grade automated trading bot connected to Bybit and/or Binance. I've done my homework on the technical side — WebSocket market data feeds, order execution, risk management infrastructure — but I want to build this as a team rather than solo, because the hardest part isn't the code: it's the strategy . 🎯 What I'm building A fully automated crypto trading system covering: Real-time market data ingestion (order book, trades, candlesticks) Strategy engine with pluggable signal modules Order execution with smart routing and latency optimization Risk management layer (position sizing, drawdown limits, circuit breakers) Backtesting framework with realistic slippage and fee modeling Deployed on low-latency VPS close to exchange infrastructure 👥 Who I'm looking for Most needed: People with experience or serious interest in quantitative trading strategies — mean reversion, stat arb, funding rate arbitrage, trend following, market making, etc. Anyone who has built or studied backtesting frameworks and understands the pitfalls (overfitting, lookahead bias, survivorship bias) Also welcome: Go or Rust developers who want to work on something non-trivial People with a background in data science / ML applied to price/order flow data Traders (manual or algorithmic) who understand market microstructure You don't need to be an expert in everything — genuine curiosity, intellectual honesty, and willingness to learn matter more than credentials. 🤝 How I see this working This would be a collaborative side project to start — no money on the table yet, just building and learning together. If we find a strategy with a genuine edge, we can discuss deploying real capital as a group. I believe in transparency: shared codebase (private repo), open discussion on strategy logic, and honest reporting of backtest and live results. I'm not interested in hype or "guaranteed profit" thinking. I want people who understand this is hard, uncertain work — and find that exciting rather than discouraging. 📬 Reach out if... You've thought about algo trading but didn't want to go it alone You have strategy ideas you've never had the engineering bandwidth to test properly You're a developer who wants a technically challenging, real-world project You just want to learn how this world works alongside others Drop a comment or DM with a bit about your background and what you'd bring to the table. Looking forward to meeting some like-minded people! 🚀 Contact: d2lsbGlhbWxzaEBwcm90b25tYWlsLmNvbQ==
Hey everyone, I'm a systems programmer with experience in Go and Rust , and I'm looking to build a serious, production-grade automated trading bot connected to Bybit and/or Binance. I've done my homework on the technical side — WebSocket market data feeds, order execution, risk management infrastructure — but I want to build this as a team rather than solo, because the hardest part isn't the code: it's the strategy . 🎯 What I'm building A fully automated crypto trading system covering: Real-time market data ingestion (order book, trades, candlesticks) Strategy engine with pluggable signal modules Order execution with smart routing and latency optimization Risk management layer (position sizing, drawdown limits, circuit breakers) Backtesting framework with realistic slippage and fee modeling Deployed on low-latency VPS close to exchange infrastructure 👥 Who I'm looking for Most needed: People with experience or serious interest in quantitative trading strategies — mean reversion, stat arb, funding rate arbitrage, trend following, market making, etc. Anyone who has built or studied backtesting frameworks and understands the pitfalls (overfitting, lookahead bias, survivorship bias) Also welcome: Go or Rust developers who want to work on something non-trivial People with a background in data science / ML applied to price/order flow data Traders (manual or algorithmic) who understand market microstructure You don't need to be an expert in everything — genuine curiosity, intellectual honesty, and willingness to learn matter more than credentials. 🤝 How I see this working This would be a collaborative side project to start — no money on the table yet, just building and learning together. If we find a strategy with a genuine edge, we can discuss deploying real capital as a group. I believe in transparency: shared codebase (private repo), open discussion on strategy logic, and honest reporting of backtest and live results. I'm not interested in hype or "guaranteed profit" thinking. I want people who understand this is hard, uncertain work — and find that exciting rather than discouraging. 📬 Reach out if... You've thought about algo trading but didn't want to go it alone You have strategy ideas you've never had the engineering bandwidth to test properly You're a developer who wants a technically challenging, real-world project You just want to learn how this world works alongside others Drop a comment or DM with a bit about your background and what you'd bring to the table. Looking forward to meeting some like-minded people! 🚀 Contact: d2lsbGlhbWxzaEBwcm90b25tYWlsLmNvbQ==
1.阿里的 token plan https://common-buy.aliyun.com/token-plan 费用是 198/月 2. https://www.trae.ai/pricing trade 的 monthly pro+ 费用 30$/月 3.字节方舟的 coding plan https://www.volcengine.com/activity/codingplan pro plan ¥ 200.00 元/月 请老哥们给个建议 , 该选哪个? 百炼的 coding plan 买不到. chatgpt plus 没有支付渠道,也不知道这个订阅耐不耐用.会不会用几次就没了?
1.阿里的 token plan https://common-buy.aliyun.com/token-plan 费用是 198/月 2. https://www.trae.ai/pricing trade 的 monthly pro+ 费用 30$/月 3.字节方舟的 coding plan https://www.volcengine.com/activity/codingplan pro plan ¥ 200.00 元/月 请老哥们给个建议 , 该选哪个? 百炼的 coding plan 买不到. chatgpt plus 没有支付渠道,也不知道这个订阅耐不耐用.会不会用几次就没了?
1.阿里的 token plan https://common-buy.aliyun.com/token-plan 费用是 198/月 2. https://www.trae.ai/pricing trade 的 monthly pro+ 费用 30$/月 3.字节方舟的 coding plan https://www.volcengine.com/activity/codingplan pro plan ¥ 200.00 元/月 请老哥们给个建议 , 该选哪个? 百炼的 coding plan 买不到. chatgpt plus 没有支付渠道,也不知道这个订阅耐不耐用.会不会用几次就没了?
IBKR 网络不行，下单的时候经常卡；另外 UI 也丑，BlobalTrader 也试用过，一般般。有没有 UI 、网络好很多的 APP 替代
IBKR 网络不行，下单的时候经常卡；另外 UI 也丑，BlobalTrader 也试用过，一般般。有没有 UI 、网络好很多的 APP 替代
IBKR 网络不行，下单的时候经常卡；另外 UI 也丑，BlobalTrader 也试用过，一般般。有没有 UI 、网络好很多的 APP 替代
IBKR 网络不行，下单的时候经常卡；另外 UI 也丑，BlobalTrader 也试用过，一般般。有没有 UI 、网络好很多的 APP 替代
求个用过的大佬指点一下，谢谢
求个用过的大佬指点一下，谢谢
https://github.com/TradeInsight-Info/TiPortfolio/blob/master/examples/notebooks/03_vix_target_rebalance.ipynb 闲来无视，写了个资产分配策略的 Python 工具，简单用了一下，发现，在每月定投基础上，加上基于波动率的资产再分配，可以实现更好的收益。 不是什么新东西，或者新概念，很多机构都在这么干，而且参数更精确。TiPortfolio 这个是用于快速回测，以及个人投资者。 或者说这是一个定投 Plus 版
https://github.com/TradeInsight-Info/TiPortfolio/blob/master/examples/notebooks/03_vix_target_rebalance.ipynb 闲来无视，写了个资产分配策略的 Python 工具，简单用了一下，发现，在每月定投基础上，加上基于波动率的资产再分配，可以实现更好的收益。 不是什么新东西，或者新概念，很多机构都在这么干，而且参数更精确。TiPortfolio 这个是用于快速回测，以及个人投资者。 或者说这是一个定投 Plus 版
https://github.com/TradeInsight-Info/TiPortfolio/blob/master/examples/notebooks/03_vix_target_rebalance.ipynb 闲来无视，写了个资产分配策略的 Python 工具，简单用了一下，发现，在每月定投基础上，加上基于波动率的资产再分配，可以实现更好的收益。 不是什么新东西，或者新概念，很多机构都在这么干，而且参数更精确。TiPortfolio 这个是用于快速回测，以及个人投资者。 或者说这是一个定投 Plus 版
最近开了个国信iquant，发现不支持miniqmt。听说国泰海通可以开qmt和ptrade，想问问有没有佬友知道国泰海通支不支持mini qmt 1 个帖子 - 1 位参与者 阅读完整话题
"ANTHROPIC_DEFAULT_OPUS_MODEL" "ANTHROPIC_DEFAULT_SONNET_MODEL" "ANTHROPIC_DEFAULT_HAIKU_MODEL" "CLAUDE_CODE_SUBAGENT_MODEL" 你们这几个参数都配置的啥模型？
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