Trading Altcoins To Get More Bitcoin
1MSGBw9MSM4XfbumjskoxqApMF9ik8
Joined April 2014
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Kyu 🇵🇸 retweeted
this ai scares you for real.
you paste your website link. Explee works out who needs the product. the replies and booked calls land on your calendar.
it runs the entire process. i did not sign up for this scare.
ok. testing it: $30 free
explee.com/auto-gtm/x/tw-ag7…
Kyu 🇵🇸 retweeted
15 Underhyped Crypto Tools You Need Right Now:
@alphagate_io - Early project discovery
@WhalesMarket - Pre-market token pricing
@InsightXnetwork - Insider wallet detection
@moniai_ - Smart account tracking
@sparsitydata - Holder conviction signals
@HolderScan - Real holder growth
@ICO_Analytics - TGE & launch performance
@_dexuai - Narrative & social trends
@revertfinance - LP profitability analysis
@RootDataCrypto - Funding & token unlocks
@TenderlyApp - Transaction simulations
@artemis - Chain fundamentals
@SurfAIHQ - AI-powered crypto research
@BlockSecTeam - Onchain transaction tracing
@CieloFinance - Smart wallet trade alerts
Most offer free tools or a free tier.
Bookmark this list to get an edge.
Kyu 🇵🇸 retweeted
api indonesia udah masuk hermes marketplace
yg pake hermes agent tinggal hermes plugins install api-indonesia, langsung dapet data wilayah sampe desa, kode pos, libur nasional, gempa bmkg, kurs BI, kbbi dll. Rp2 per call
hermes-agent.nousresearch.co…
Kyu 🇵🇸 retweeted
Yang Tanya screening ni ku kasih ya, simple aja kok gausah dibikin pusing 😅
# Week 1 #DLMMOtomatis by @bot
Aslinya pnl sehari kisaran 3-5% maksimum, selebihnya saya open Dan out posisi manual 😅.
So far, @bot ngebantu untuk screening Dan masuk posisi ketika jam tidur, Dan pagi nya sisa panen aja 👍
Semoga bisa konsisten.
Kyu 🇵🇸 retweeted
LPs are already making $250K a day on Elysium
With APRs up to 36,000 % !!!
Here's exactly how to LP on Elysium, step by step (be fast):
1. What is Elysium?
Elysium is Kinetiq's new Layer 2 for Hyperliquid, which launched its mainnet on November 9.
A few things to know:
- Network ID: 99901
- Gas token: HYPE
- DEX: Uniswap (preferred one)
2. How to bridge to Elysium
Step 1: Move HYPE to HyperEVM
If your HYPE is in your Hyperliquid spot balance, you first need to move it to HyperEVM
Open the official Hyperliquid app and select "Transfer to/from EVM"
Step 2: Bridge HYPE to Elysium
Use the official bridge: elysium.kinetiq.xyz/bridge
USDC: 0xb47c4C8F73F009CC0C0d3f92B388d13E293F0B65
WHYPE: 0xbA876237B0F021A6c6D852d6c26E107997cC5E81
3. Which platform should you use to LP?
- @aetherliquid
- @Uniswap
- @heliosliq
4. Which pools are actually worth looking at?
- Lower risk: USDC / HYPE (1,455% APR)
- Medium risk: KNTQ / WHYPE (767% APR)
- High risk: Memes / USDC/WHYPE (up to 100,000% APR)
*APRs can change, this is nfa
Kyu 🇵🇸 retweeted
把套利 bot 从 Python 换成 Rust：确实快了 3 倍
策略：Arcus 挂 maker 单等成交，成交后立刻在 Lighter 用 IOC 对冲，赚 SPY 两边价格的基差。
从收到成交推送到对冲成交，每段耗时：
🟢 收到推送 → 发出对冲单：21.6ms → 6.5–8.6ms
🟢 签名 → 发出请求：5–9ms → 1.2–1.5ms
🟡 发单 → 交易所确认：15–29ms → 15–18ms（主要是网络）
🔴 Lighter 撮合成交：约 300–400ms（换语言也没用）
结论：Rust 省下约 15ms，只占整段约 420ms 的 3–4%。
之前 Arcus 和 Lighter 对冲的 100% 胜率被打破了，最高 10 连胜，但胜率依然很高。
昨天把 python 改造成了 Rust 语言，周末没啥波动，目前跑的还不太多。
claude 也7 天可以用 fable 模型了，打算把核心逻辑再 review 一遍。
最新策略已经可以稳定盈利！！暂时胜率 100%，样本待积累。（截图均为实测数据！）
ps：看到有小伙伴说换 rust 更快，也打算做一版（但我目前程序只占 7ms，剩下的是交易所的 300ms）
策略：SPY 在 Arcus 挂单，成交后立刻在 Lighter 吃单对冲，只在积分加成时段开仓。
📊 11-02 至今 22 轮，Arcus 成交约 26 万（开+平），合计 −$9.6，磨损约 3.6U/10万。
分配置看，差别很大：
🔴 单轮 1 万：4 轮全亏，−$6.66（每 10 万亏 8.3U，夜里盘口太薄，吃单要吃好几档）
🔴 6bp 止损：5 轮，−$4.06（一碰就止损，平在了最差的位置，目前已经修复）
🟢 最新配置：7 轮全部盈利，+$1.19，每 10 万赚约 1.9U（单轮 0.5 万、亏损仓位最长拿 4 小时、只留 25bp 灾难止损、高波动时不开仓）
⏱️ 一次对冲的时间线（以 Arcus 挂单被吃为第 0 毫秒，实测中位数）：
① 第 7.5ms：程序发出 Lighter 对冲单（Python）
② 下单前预检：22ms → 0.3ms（元数据缓存从 60 秒改成 1 小时）
③ 交易签名：0.8ms（Lighter 官方 Go 原生库）
④ 发送到交易所收单：约 50ms → 约 44ms（连接保温；剩下的是 Lighter 服务器处理）
⑤ 发单后 300–400ms：真正撮合，其中约 300ms 是 Standard 账户的固定延迟 ← 成交价在这里定
⑥ 程序确认成交：约 600ms → 约 410ms（不影响成交价，但分笔成交时第二张对冲单能早发约 200ms）
🦀 换成 Rust 会怎样？
🟢 能变快的只有第 ① 步：7.5ms → 约 1ms，省约 6ms
🟡 第 ②③ 步：已经是缓存和 Go 原生库，换语言没区别
🔴 第 ④⑤ 步：卡在网络和交易所，换什么语言都一样
算下来，从被吃到撮合全程约 350ms，Rust 最多省 6ms，不到 2%。
我们这次没换语言，只做了 4 处 Python 优化：
1️⃣ 中位数计算改成增量维护：每步 8.8ms → 0.003ms
2️⃣ 元数据缓存：省约 21ms
3️⃣ 连接保温：省约 6ms
4️⃣ 查询节奏：确认成交提前约 190ms
结论：做跨所对冲时，真正的成本不是程序慢，而是"挂单被吃的时候价格往往正在动"，加上交易所 300ms 的固定延迟。最新配置 7 轮里，每笔对冲滑点都没超过 1bp。比起重写成 Rust，更值得做的是把每一毫秒量清楚、躲开高波动时段、不在最差的位置止损。不过我也打算再写一般 Rust 进行对比，没准会给有惊喜。
Kyu 🇵🇸 retweeted
How do I find coins to LP?
I always have FOMO or GMGN open. I sort tokens by 5-minute volume from highest to lowest and check every one that stands out from the rest
Meanwhile Telegram scanners send me volume alerts
At this point one look at the chart and the overall picture is enough to tell me whether it’s worth digging deeper. But that first glance is only the initial filter
Next I check the coin through Larpcheckbot and Crawlbot: bundles, holders and other details
At the same time I check Meteora for existing pools, their TVL and whether they’re getting volume. Then I check what people are saying about the token on X
But sometimes there’s no time for a full breakdown
If a coin shows up across all the scanners and call channels I follow at once I open a Spot LP position with my usual mid-sized allocation first. Then I keep researching while already in the position
The market is pretty boring right now. Good coins are easier to spot because there’s less noise around them. But catching one strong setup means staying locked in all day
Without a team or alerts or a friend who’ll call and wake you up it’s easy to sleep through that one opportunity
The challenge used to be keeping up with everything
Now it’s making sure you don’t miss the one thing that actually shows up
Found an interesting coin? Great — time to put what you learned in the article into practice
Kyu 🇵🇸 retweeted
f*cking UNREAL... this free paper unlocks algorithms hedge funds made billions on
151 trading strategies that will probably made you money...
Just send it to your AI trading system. Thank me later:
Kyu 🇵🇸 retweeted
tips from legend buat para LP meteora 🐒
@satsmonkes ngebedah 1,7 juta posisi LP. hasilnya: 315 wallet top 10% cuan +74.049 SOL, sisanya 2.833 wallet malah −2.219 SOL net
yang kalah bukannya gak dapet fee. fee-nya banyak, tapi habis semua kemakan IL
bedanya winner sama yang lain:
• win rate: 65% vs 63%, hampir sama
• median hold: 59 menit vs 17 menit
• fee yang ketarik balik sama pergerakan harga/IL: 60% vs 101%
• median size: 10 SOL vs 2,9 SOL
• re-entry di pool yang sama: 87% vs 79%, lebih condong spot daripada bid-ask
bin step, fee tier, range width, jam entry: hampir identik
jadi edge-nya bukan di setup, tapi di behavior. ukur net, jangan fee
gw sendiri jalanin DLMM scalp bot, stat hold time ini nampar banget 👀
Kyu 🇵🇸 retweeted
oke temen-temen, gua memutuskan untuk 1-on-1 dengan public. gratis.
untuk pendaftaran bisa isi form dan call dari platform ini
cal.com/0xyunss/1-on-1-publi…
per sesi 20 menit, sehari ada 4 sesi.
kalian bisa ngobrolin apa aja dari web3, dlmm, finance, ai dan automasi.
sudah beberapa kali mengadakan atau call 1-on-1 dengan temen-temen perihal dlmm @MeteoraAG, web3, atau masalah financial tentang cara grow.
ada 2 orang yang konsisten tiap hari ngirim win setelah 1-on-1, kebanyakan adalah orang yang bener-bener disiplin dan mau ngosongin gelas waktu call.
contoh mas iqbal ini awalnya takut untuk sizing, trauma token rug, kebanyakan indikator.
pada mau 1-on-1 sama gua? mungkin gua bisa buka 1 slot buat public.
bid-ask flip is the alpha, btw.
Kyu 🇵🇸 retweeted
This is f*cking insane, the CEO of Y Combinator open-sourced his own second brain and most people still don’t know it exists
8 second brain repos you haven’t seen yet:
-> gbrain (by garrytan)
github.com/garrytan/gbrain
the second brain of the YC CEO, every fact keeps its source and every agent shares one memory
-> llm wiki (by karpathy)
gist.github.com/karpathy/442…
the original idea file behind all of this
-> ai-memory (by akitaonrails)
github.com/akitaonrails/ai-m…
hand the work from Claude Code to Codex without losing context, memory lives in plain markdown
-> agent second brain (by smixs)
github.com/smixs/agent-secon…
send a voice note in Telegram and it lands as a linked note in your Obsidian vault
-> cog second brain (by huytieu)
github.com/huytieu/COG-secon…
33 skills and 10 agents running on plain markdown, no database
-> open second brain (by itechmeat)
github.com/itechmeat/open-se…
a nightly pass turns the corrections you keep repeating into rules your agent follows
-> claude second brain (by jessepinkman9900)
github.com/jessepinkman9900/…
one npx command scaffolds Obsidian, Claude Code and local search
-> baalda (by naveedharri)
github.com/naveedharri/baald…
a team second brain where people and agents edit the same markdown files
the CEO of Y Combinator runs his agents on this
you are still digging through bookmarks
Kyu 🇵🇸 retweeted
It's f*cking wild how many people still build their Claude + Obsidian setup by hand, when Obsidian's CEO already open-sourced all the tools
1. obsidian skills · 51K stars
by kepano, Obsidian's CEO. Claude stops writing broken Markdown and starts writing real Obsidian: wikilinks, Bases, Canvas, even the CLI
github.com/kepano/obsidian-s…
2. defuddle · 9.9K stars
by kepano. Claude stops paying tokens for cookie banners, menus and comments. it gets the article and nothing else
github.com/kepano/defuddle
3. obsidian clipper · 5.5K stars
the official web clipper. one click and any page lands in your vault, ready for Claude
github.com/obsidianmd/obsidi…
4. obsidian help · 1.9K stars
the official docs as plain Markdown, AGENTS.md included. your agent learns Obsidian from the people who built it
github.com/obsidianmd/obsidi…
5. obsidian importer · 1.7K stars
your whole past life in 15 apps, from Notion to Evernote to Apple Notes, turned into Markdown Claude can actually read
github.com/obsidianmd/obsidi…
install one tonight and Claude stops guessing how Obsidian works from the very first prompt
save it, your vault will thank you
Kyu 🇵🇸 retweeted
this ai scares you for real.
you paste your website link. Explee works out who needs the product. the replies and booked calls land on your calendar.
it runs the entire process. i did not sign up for this scare.
ok. testing it: $30 free
explee.com/auto-gtm/x/tw-ag7…
Kyu 🇵🇸 retweeted
use these 3 condom repos to F*CK REA (reverse engineer anything)
it's protection for your site, app or game from hackers and reverse-engineering, for free
so REA is died.
here's how to use and setup it:
first understand how it works:
• TruffleHog (29K stars) - hackers reverse engineer apps to steal hidden keys. Anthropic exposed one who scanned 1.8M decompiled Android apps with this exact tool, run it first, k*ll your live keys
• BLA (3.7K stars) - hits REA itself: fake keys and decoy code make AI burn tokens on dead ends, your users get the exact same app
• Cloudflare security-audit-skill (66.7K stars) - reverse engineering is how hackers find holes. This skill makes Claude Code find them first
here's how to put them on for free:
1 → open Claude Code in the folder of your app, site or game
2 → say: "install Node.js 24 and TruffleHog if I don't have them, build my project, then scan the code, its git history and the build folder with --results=verified"
3 → every live key it finds: revoke it, make a new one and keep it on your server, anything inside your app, anyone can pull out
4 → say: "install Cloudflare's security-audit skill with npx skills add cloudflare/security-audit-skill security-audit -a claude code, read its SKILL.md and run a security audit on this project"
5 → fix everything it marks confirmed, then run it again. Cloudflare says one run finds only about half of what repeat runs catch
6 → say: "rebuild, then run npx bla-agents setup and npx bla-agents harden"
7 → the step everyone skips: ship the files from the new .bla-hardened folder, not your old build
send repo links below ASAP:
Kyu 🇵🇸 retweeted
fu*cking every trading Grok Bot on the internet.
free to use.
hft.md/grok-bots
bookmark rn.
Kyu 🇵🇸 retweeted
REA (reverse engineer anything) - F*CKED by chinese student...
solo dev just dropped protection for your app & site & game from reverse-engineering and AI hackers, for free
REA not dangerous anymore.
here's how to use and setup BLA (Blind LLM Agents):
first understand how it works:
• REA opens your app in 1 command, BLA hides traps inside it before you ship
• fake keys and decoy code for AI to chase, plus files built to blow past REA's own limits
• AI burns tokens on dead ends, your users get the exact same app
here's how to set it up for FREE:
1 → open Claude Code in the folder of your app, site or game
2 → say: " install Node.js 24 if I don't have it, build my project, then run npx bla-agents setup and npx bla-agents harden"
3 → it finds your build itself: dist, build, Electron .asar, .wasm, Python, native binaries
4 → it plants fake keys and decoy code, then checks every protected file still runs the same
5 → the step everyone skips: ship the files from the new .bla-hardened folder, not your old build
6 → for sites it protects the JS your site sends to browsers, your server code never leaves your server anyway
7 → want proof? run: npx bla-agents benchmark - before vs after on 14 test apps
paste link on repo below as soon as possible:
Kyu 🇵🇸 retweeted
4,843 backtested trading strategies.
Free.
Ranked by Sharpe ratio. The top one sits at 3.39.
Here's what's inside:
→ every strategy tested over decades of real data
→ Sharpe ratio, t stat and years tested for each one
→ full Python code and data
→ 136 libraries for backtesting, bots, market data and broker APIs
→ 55 trading books, beginner to pro
And here's how to turn one into a live bot with Opus 5.5:
1. Pick from the 61 strongest strategies, sorted by market: stocks, bonds, forex or crypto
2. Create a free account to unlock the Python code and data
3. Paste the code into Claude Code and ask Opus to explain every rule in plain English. When it buys. When it sells. Why.
4. Ask Opus to rerun the backtest with REAL fees on the last 3 years. If it doesn't make money after costs, stop here.
5. Have Opus convert the research code into live code that reads real prices and fires real signals
6. Connect a broker from the libraries, like Alpaca for stocks or Binance for crypto
7. Add a risk layer: fixed position size, a stop loss on every trade, a daily loss limit and a kill switch
8. Paper trade for 2 weeks with fake money. If live results don't match the backtest, the strategy isn't ready.
9. Add Telegram alerts so your phone pings on every trade. Only then go live, and start small.
A great backtest is a starting point, not a promise.
Most strategies die in step 4 or step 8.
That's the point. Better they die there than with your money.
Full guide on building an AI trading system below
Kyu 🇵🇸 retweeted
151 trading strategies with exact formula behind it.
hft.md/151
don’t miss to bookmark