金融商业1 month ago
Basis — Trade on proof
使用历史股票数据回测交易策略。
@basisfinnce · X
Taking the hype out of short term stock trading using a backtest engine running off decades of data 📊 👉
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使用历史股票数据回测交易策略。
@basisfinnce · X
Taking the hype out of short term stock trading using a backtest engine running off decades of data 📊 👉
基于AI的经济日历，预测股票、外汇、债券、大宗商品和加密货币的市场影响。
@yumbedinho20962 · X
Check out what I just built with Lovable!
在 Polymarket 和 Kalshi 预测市场之间寻找价格差异。
@b1llymane · X
startup #1 of 12 this year: it catches sportsbooks pricing the same game differently, bet both sides, profit either way. mostly built between 11pm and 3am, which felt thematically correct
用压力图表分析足球市场，回测和优化投注策略。
@KSertttttttt · X
选择股票和时间段，使用历史行情数据练习日内交易。
u/dodqy · Reddit
Trading Practice Platform I’ve always found it difficult to get meaningful practice outside of market hours, so I built a browser-based replay platform to solve that problem. You choose a stock or ETF, time of day, and up to three indicators, and it randomly loads a historical trading session from the past six months. The goal is to practice taking trades as if they were happening live. It includes: Basic and advanced TP/SL management AI trade reviews with a performance score after each
使用33年历史数据和频率分析预测 Mark Six 彩票数字。
@KWSKAN · X
Check out what I just built with Lovable! #HongKong #MarkSix #Lottery #WinnerWinnerSteakDinner #HKJC
根据市场可行性、竞争和需求为商业创意评分。
@buildwithmaya · X
Hi Rashka I am building
Undersrvd帮助发现被忽视的市场空白和商机。
u/Bootfit · Reddit
Building is easier than ever but knowing what to build isn’t. Hello everyone - I’d like to show you the MVP of my new website http://Undersrvd.com Undersrvd grew from a problem I was trying to solve for myself. I’d been poking different AI engines for a while trying to get them to recognise signals in news stories etc that could point to the next big thing on the horizon - the next fad, fidget spinners, Labubu etc - trying to get ahead of the game. When they couldn’t come up with anythi
AIWMC Quantis：90秒内AI分析商业创意的财务预测和风险场景。
@AIWMCX1 · X
Consultants don’t need more noise. AIWMC Quantis helps turn messy business ideas into clear scenarios, runway views, and risk signals — so you can spend less time rebuilding analysis and more time giving the client a real answer.
Deriv 波动率指数的实时数字预测和市场分析工具。
@CollohBrax · X
Check out what I just built with Lovable!
在历史市场数据中测试和评估 AI 交易代理。
remote_ctrl · HN
BotTrade – a replayable benchmark for autonomous trading agents
用SQL查询美国股票和加密货币的实时及历史数据与411+信号
@spiroD123 · X
The stock market, in sql. Launched a couple months ago. Closing in on 1m API calls served already.