Trading Altcoins To Get More Bitcoin
1MSGBw9MSM4XfbumjskoxqApMF9ik8
Joined April 2014
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Kyu 🇵🇸 retweeted
2 Tipe Mental LP DLMM
1. Opit - Opit - Opit - Knock - Touch the grass
Biasanya banyak terjadi di beginner, kumpulin profit per posisi 1-3% kena rekt bisa sampe 10-30%
Akhirnya kena mental terus mikir
“Cape bgt kumpulin opit sikit2 sekalinya rekt gede banget 😩”
2. Opit - Opit - Rekt - Opit -Rekt - Opit - Opit - Rekt dikit - Tutup hari profit
Kena rekt/rug gak bikin mereka stop untuk LP
Selama opportunity market masih banyak (apalagi waktu basah), mereka bakal tetep LP di hari itu
Tipe2 kaya gini tahan banting dan biasanya udah gak pake feeling samsek (robot)
Intinya: yang bikin bertahan di LP bukan cuman skill milih pool, tapi mental waktu kena rekt
Mau kamu touch the grass dulu atau tetep colok itu terserah
Tapi yang paling penting, balik ke market mental aman dan gak ada penyesalan dari play sebelumnya 🫡
Kyu 🇵🇸 retweeted
the fastest growing GitHub repos in finance + AI this week:
1. Kronos (+2,653 ★)
open source foundation model for candlestick charts, trained on data from 45+ exchanges. you feed it price history, it forecasts the next bars. code hasn't changed since april, people just found it.
github.com/shiyu-coder/Krono…
2. TradingAgents (+1,944 ★)
multi-agent LLM trading framework: analysts, researchers, a trader and a risk team arguing before every trade. #2 again, now 113K stars.
github.com/TauricResearch/Tr…
3. day-trader-skill (+972 ★)
11 Claude skills for day trading. chart scanner, news tracker, entry and stop planner, and a "time machine" that replays the session 10,000 times before you trade. paper trading by default. 4 days old.
github.com/Jakeschincariol/d…
4. Vibe-Trading (+821 ★)
personal trading agent from HKUDS. research in plain english, strategy drafts, backtests, MCP support.
github.com/HKUDS/Vibe-Tradin…
5. last30days-skill (+730 ★)
agent skill that researches any topic across Reddit, X, YouTube, HN and Polymarket, and ranks results by upvotes, likes and real money.
github.com/mvanhorn/last30da…
6. daily_stock_analysis (+487 ★)
LLM stock analysis for US, China, HK and more. sends you a daily decision dashboard to Telegram, Discord or email.
github.com/ZhuLinsen/daily_s…
7. FinceptTerminal (+412 ★)
open source Bloomberg-style terminal. market data, research and AI agents in one desktop app.
github.com/Fincept-Corporati…
8. freqtrade (+360 ★)
the OG open source crypto trading bot, with a machine learning module (FreqAI). backtests, Telegram control, supports Hyperliquid.
github.com/freqtrade/freqtra…
9. tick-stock-panel (+346 ★)
self-hosted quant workbench for China A-shares. LLM builds your strategy, then backtest and monitoring. 65 API endpoints + an MCP server.
github.com/shy3130/tick-stoc…
10. OpenBB (+294 ★)
open data platform for analysts, quants and AI agents. stocks, options, crypto, macro. has an MCP server.
github.com/openbq-org/OpenBB
bookmark this and start today.
the fastest growing GitHub repos in finance + AI this week:
1. aurelio-finance (+2,388 ★)
personal finance app with an AI advisor you can talk to. tracks net worth, ETFs, investments and cash. runs on your own computer, AI is optional with your own key. the repo is 11 days old.
github.com/LosaLosSantos/aur…
2. TradingAgents (+1,244 ★)
multi-agent LLM trading framework, analysts + researchers + trader + risk team in one stack. back on the list again. now 111K stars, new release lets it run on your ChatGPT Plus/Pro plan.
github.com/TauricResearch/Tr…
3. last30days-skill (+735 ★)
agent skill that researches any topic across Reddit, X, YouTube, HN and Polymarket, and ranks what it finds by upvotes, likes and real money. works in Claude Code, Codex and Cursor.
github.com/mvanhorn/last30da…
4. Vibe-Trading (+621 ★)
personal trading agent from HKUDS. market research in plain english, strategy drafts, backtests, MCP support. one command to give your agent trading skills.
github.com/HKUDS/Vibe-Tradin…
5. nautilus_trader (+463 ★)
Rust trading engine where the same strategy code runs in backtest and live. any asset, any venue with an API. biggest day of the week was friday, +130.
github.com/nautechsystems/na…
6. daily_stock_analysis (+428 ★)
LLM stock analysis for US, China, HK, Japan, Korea and Taiwan. sends you a daily decision dashboard to Telegram, Discord, Slack or email.
github.com/ZhuLinsen/daily_s…
7. freqtrade (+342 ★)
the OG open source crypto trading bot, now with a machine learning module (FreqAI). backtesting, Telegram control, supports Hyperliquid.
github.com/freqtrade/freqtra…
8. OpenBB (+317 ★)
open data platform for analysts, quants and AI agents. stocks, options, crypto, macro. one pip install, has an MCP server.
github.com/openbq-org/OpenBB
9. FinceptTerminal (+293 ★)
open source Bloomberg-style terminal. market analytics, research and AI agents in one desktop app.
github.com/Fincept-Corporati…
10. QuantDinger (+266 ★)
self-hosted AI trading OS. idea → python strategy → backtest → paper → live, with monitoring. was #6 back in may, still growing.
github.com/OpenByteInc/Quant…
bookmark this and start today.
Kyu 🇵🇸 retweeted
bulan ini gua dlmm full bid-ask + bid-ask flip, realized profit skitar $12500 atau 226jt, ini yang manual ya, turun dari $32k bulan lalu.
jujur strat gua bulan ini super monoton dan ya tetep profitable, cari token 2m ke atas yang minimal 2 hari, bikin new ath pasang bid-ask, diemin sehari dapet 10-20%
kebanyakan mines kalo nyoba main di new pair.
oktober masih kurang 7 hari lagi, tapi gua memutuskan untuk menyudahi dlmm di bulan ini, kenapa?
- merasa cukup
- kondisi market kurang bagus karena max extractt dari kejadian kimchi + pf kemaren
- beberapa trade terakhir gua trade menggunakan emosi jadi perlu touch grass untuk reset mental
when the markets good - it's the market. when the market bad it's all about skill
Kyu 🇵🇸 retweeted
PLEASE.
Siapapun kalian yang sudah pakai coding agent jadi bagian tak terpisahkan dair kehidupan, pakai lah ini.
SEKALI AJA di app apapun yg kalian buat. Daripada menyesal di masa depan.
github.com/cloudflare/securi…
Kyu 🇵🇸 retweeted
卧槽本周最牛逼的项目无疑了。⚠️NSFW⚠️
github.com/peach-mitao/peach
Kyu 🇵🇸 retweeted
this is one of the most INSANE open-source AI trading projects on GitHub right now
real trading firms spend millions on analysts, researchers, traders and risk managers
someone built an open-source framework that recreates the entire decision-making process using AI agents that debate each other before making a trade
it's called TradingAgents
here's how it works:
4 AI analysts independently examine fundamentals, technical indicators, financial news and market sentiment
a BULL researcher and a BEAR researcher debate whether the market should go higher or lower
a trader agent turns their arguments into a BUY, SELL or HOLD decision
3 risk perspectives challenge the proposed trade before a portfolio manager makes the final call
here's how to build it yourself for FREE:
step 1 → open Claude Code and ask it to clone github.com/TauricResearch/Tr… and install the project using Python or Docker
step 2 → configure your AI provider and connect Claude Opus 5.5 for deep reasoning and Sonnet 5.5 for faster research, using the corresponding API credentials
step 3 → launch TradingAgents, select ETH-USD, choose an analysis date and configure how deeply the agents should research the market
step 4 → let the 4 analysts investigate Ethereum using technical indicators, fundamentals, financial news and sentiment data
step 5 → watch the BULL and BEAR researchers challenge each other's conclusions before the trader agent proposes a BUY, SELL or HOLD decision
step 6 → send the proposed trade through the risk management team, where aggressive, neutral and conservative perspectives evaluate the downside before portfolio approval
step 7 → collect the final decisions, plot the signals on an ETH chart and compare them against historical price movements to evaluate the strategy
step 8 → backtest the decisions across multiple market conditions with realistic fees and slippage before even considering real capital
the result: an open-source multi-agent trading research system where AI analysts debate market opportunities, challenge risk and produce structured trading decisions
the framework is free, although AI API usage may cost money, and the terminal in the clip is a visual demonstration rather than live executed trades
i won't say anything more...
bookmark this and thank me later ↓
Kyu 🇵🇸 retweeted
I found a real money glitch in LP
what if I told you that you could earn over 100% with almost no risk?
the screen shows 438% APR for $TSLA
385% for $CRCL and 367% for $SPCX
the idea: collect LP fees while hedging your price exposure through perps
here’s how it works with a total bankroll of $1,000:
1. allocate $600 to LP
- choose a token/stable pair with a perp tracking the same underlying asset
- suppose the token costs $10, and your selected range requires 30 tokens and $300 USDC
- buy those 30 tokens on spot for $300 and deposit them into the LP alongside $300 USDC
2. keep $400 for short collateral and a margin buffer
- open a perp short for the same 30 tokens, with a notional value of $300
- specifically, the token portion of the LP
3. collect fees and monitor the hedge
- the LP earns fees while the price stays in range and there’s trading volume
- with positive funding, the short also receives payments
the LP composition changes: if it now holds 25 tokens, reduce the short to 25 too - if the token amount increases, adjust the hedge in the other direction
you can also explore this with larger memecoins
the point is to depend less on price direction and earn trading fees
but IL, price discrepancies and liquidation risk remain gains in an LP on another protocol won’t automatically top up your short’s margin
I open the LP position here:
- liquidityladder.app/r/danko4…
hedge RWA/meme:
- polymarket.com/dankoeth?via=…
- entropy.io/?r=danko
🤝 Paid partnership
Think you can only make money LPing memecoins?
I write a lot about memes, but you can also LP altcoins and RWA tokenized stocks
a few examples from the screen:
- USDC/INJ on Eth: 965%
- NEAR/WBNB on BNB: 647%
- XDP/USDC on Base: 236%
- TRAC/WETH on Ethereum: 82%
- WETH/MORPHO on Base: 69%
this is fee APR based on the last hour
volume changes and so do the numbers
what interests me more is how to use LP to match my thesis
want to accumulate an asset on a dip - Bid/Ask with a range extending downward
you spread your buys across price levels
as the price falls within your range
the position gradually accumulates the token
bullish thesis - I look at spot with an even distribution across the chosen range
the asset is trading sideways - you can collect fees while trades flow through your range
but there’s a catch: as the price rises, LP gradually converts the token into the other asset in the pair. if you want to keep your entire bag for a strong pump, you need to account for that
so I first look at the asset, volume, and liquidity, then choose the distribution and range
APR helps you find candidates
your position should be built around your thesis - not a pretty %
if you guys like this type of tweet
i’ll try to make as many of them as i can
Kyu 🇵🇸 retweeted
The most profitable ways to make money with @MeteoraAG
I've been in this game a long time, I'm in the strongest DAO out there, surrounded by specialists who made a fortune on LP
So this isn't theory, this is what I see with my own eyes
> Heart Attack
The most common strategy, right here right now it prints huge profits on elevated volume
Experienced LPs size in with 100-200+ SOL into a -5-20% range, constantly rebalancing into new tokens
> Token sided positions
The least popular approach, usually comes with huge risk
But it's the one that competes head to head with Heart Attack on returns
> Mindset shift
Some very successful LPs stopped calling themselves LP specialists
They mix trading and LP, when a spot buy makes sense they buy, when a liquidity position makes sense they open one
The right tool for every situation
This is S tier, the highest level of the game, where every LP who's actually growing wants to end up
> DAMM V2
There's a small group of people making huge money here
Mostly experienced trenchers
I never cracked this one myself, it's still the least clear direction for me
But its potential competes with everything above
Kyu 🇵🇸 retweeted
holy sh*t, someone just mapped 12,000+ closed products you can reverse engineer today
cars, smart homes, printers, AI clients, firmware, file formats and dead online services, and most builders have no idea it's free
the drop:
→ github.com/alexgaoth/awesome… (28 ★ · 2 forks · 12,877 projects)
the index itself: every entry checked through the GitHub API for license, stars and status, refreshed every night, with a ready-made skill for your AI agent
→ game decompilations (3,040 projects)
decompilations, recompilations, emulators and restored engines, from shadPS4 and RPCS3 to OpenRA
→ devices, IoT & hardware (3,029 projects)
local control for smart homes, printers and wearables without the vendor's cloud
→ unofficial API clients (904 projects)
open clients for platforms that never shipped a public API
→ AI tools & LLM clients (739 projects)
reconstructed AI clients, tool definitions and OpenAI-compatible adapters for closed AI services
→ cars (520 projects)
open driver assistance, vehicle APIs and in-car systems, openpilot included
→ firmware & embedded (472 projects)
custom firmware and embedded code for devices their makers stopped updating
→ file formats (436 projects)
readers and parsers for closed formats like PSD and DWG
→ network protocols (422 projects)
open implementations of protocols that were never documented
→ online service revivals (173 projects)
replacement servers for games and services that were shut down
the formula:
search the index → clone what already exists → let REA reverse the missing piece → ship
REA hit #1 on GitHub trending, and most people still run it inside a single chat
Split it into 4 subagents and one command takes a program you own from sealed binary to a tested rebuild with a match rate
Set it up once, aim it at the next one:
Kyu 🇵🇸 retweeted
most of new LPs confused on @MeteoraAg which strategy is the best, so here, i write an article how to mastering strategy and stay consistent with it
Kyu 🇵🇸 retweeted
buat ngulik onchain, jangan cuma ngandelin satu wallet tracker
soalnya tiap tools punya kelebihan masing-masing, ini beberapa alternatif yang bisa kalian pake sesuai kebutuhan
tracking wallet & smart money
- @nansen_ai: onchain intelligence buat trader, wallet labeling sama smart money tracking
- @MetaSleuth: fund flow visualization, wallet monitoring, bisa buat tracing dana hasil hack
- @DeepBlueAlpha: real-time whale tracking di Ethereum
- @bubblemaps: liat holder cluster token, gampang ketauan kalo supply dipegang segelintir wallet
- @StalkHQ (stalkchain): stalking smart money, fokusnya di Solana
- @CieloFinance: wallet tracking di EVM, Hyperliquid sama Solana, sekarang ada trading terminal juga
trading + tracking
- @gmgnai: trading terminal, copy trade sama smart wallet tracking
- @MASTRtrade: trade Solana, BTC, EVM dari wallet sendiri, plus fund tracking sama token risk analysis
- @hypurrdash (hyperdash): analytics sama trading tools khusus Hyperliquid
data & riset
- @Tokenomist_ai: token unlock & vesting schedule
- @RootDataCrypto: database project, funding sama investor
- @stablewatchHQ: stablecoin yield & risk analytics
- @revertfinance: LP analytics buat AMM
- @growthepie_eth: open data & analytics buat Ethereum sama L2
- @_dexuai: social analytics buat tracking attention ke token
kalian biasanya pake yang mana?
Kyu 🇵🇸 retweeted
We just shipped the @lpagent_io MCP, so now I LP straight from Claude. You can too 👇
Connect @lpagent_io in 5 steps:
1. Wallet › MCP
2. Pick Claude
3. Copy the URL
4. Add it in Claude
5. Allow
Then just ask "What's in my LP Agent account?"
Works with ChatGPT, Grok, Claude Code and Codex too.
Kyu 🇵🇸 retweeted
Strategi bot Liquidity Provider saya
I. Pergi ke GMGN klik pencarian terpanas cari 1h vol/transaksi diatas 800k-1.2M
II. Cek narasi di X tempel ca di bot tele buat lihat bundle dan TH
III. Masuk sesuai porsi atur rentang area min -60 dari ATH terbaru
IV. Harga turun mendekati range pool add degen meme 1-2 sol ( double cuan dari sini )
Done.
Kyu 🇵🇸 retweeted
These 4 rules are what make my slow cook positions safe
The goal is minimizing the risk of losing across the whole portfolio
> What safe does NOT mean
A safe position is not a wide range xitter.cf/0xMrBeefman/status/210…
And it's not bid ask
> The 4 rules
1. Cut out tokens where I see a real chance of heavy dumps
2. Only tokens with print, no print means no position, period
3. If I don't like the current entry, I open in the range I want on the chart, not at market price xitter.cf/0xMrBeefman/status/210…
4. If there's no print even in the middle of the range, I cut the loss instead of hoping the token suddenly starts printing
> Bottom line
These rules are more than enough to show steady average profit over the long run
A wide range doesn't make a position safer
Time to break down IL and liquidity efficiency
Two rookie misconceptions
1. "The wider the range, the less IL"
No idea where people even got that
2. "The wider the range, the safer the position"
This one deserves a closer look
> Where a wide range actually works
A wide range is only safe when the print is really strong and the token is volatile
The whole point of a wide range is staying in range and printing fees
But with no print, in range or out of range makes almost no difference, the money comes from the print
> Low print + wide range
With low print a wide range is inefficient use of liquidity
What's the point of opening a wide range position on a low print token, especially in bid ask?
The token can touch the top of the range and print nothing
And if it dumps with no print, the IL is huge and there are no fees to offset it
> What I do instead
In tokens like that I'd rather open a -50-60% range and take a 20-30% loss
Than wait for a miracle in a wide range and end up down 40-50% if the pump never comes
The lower a token falls, the bigger the bounce it needs just to break even
Medium and tight ranges need a smaller bounce to break even and profit compared to a wide one
> Bottom line
Low print + wide range is no print at all, it's inefficient use of liquidity
With low print it's either a tight/medium range or no entry at all, the risk reward is just bad
This post is for beginners, pros already know every use case for every range size and how to use liquidity efficiently
IL for every range in the table below
Kyu 🇵🇸 retweeted
LP decision tree versi indo buat tmn2 @MeteoraIDN 🇮🇩
Fee tinggi belum tentu LP cuan kalau bocor IL
Era cuma ngejar fees sudah lewat. Sekarang lihat total PnL = Fees + Trading PnL + MEV PnL.
Kalau penasaran, cek Precision Hybrid di @HawkFi_ (Info lebih lanjut di comment👇)
Kyu 🇵🇸 retweeted
TradingView is actively trying to take this down
The reverse-engineered TradingView Premium GitHub repo just went private again after hitting 53.4k stars
This is the only version that has access to real-time and historical data by mirroring the official TV servers
You can still access the GitHub repo and the Reverse Community Discord through this version desktop apps for Windows and Mac
Will this stop TradingView from being greedy?
Kyu 🇵🇸 retweeted
this is the most DANGEROUS thing on internet today
someone built an AI that reads candlestick charts the way GPT reads English & released it for 100% FREE
i just connected it to my TradingView setup with opus 5.5 & now my AI trading system reads every candle & predicts the next market move BEFORE it happens (ACCURATELY)
first understand how KRONOS works:
> LLMs like ChatGPT or Claude turn words into tokens & predict the next word
> Kronos turns every candle into tokens & predicts the NEXT CANDLE
> it is pre-trained on 12 BILLION candles
here is how to build the full system for FREE:
1. open Claude Code with Sonnet 5.5 and ask it to clone the Kronos repo and set everything up, it handles the install for you
2. now switch to opus 5.5 and give prompt to load Kronos-small from Hugging Face, it runs on any normal laptop (i am running on my MAC M5 pro)
3. it will pull the same candles you see on TradingView from Binance’s free public API, any coin, any timeframe, open, high, low and volume, no account needed
4. ask Opus 5.5 to feed Kronos the last 512 candles and predict the next 24, exactly like asking an LLM to finish a sentence
5. set sample_count to 100 so Kronos draws 100 possible futures instead of one guess, the spread between them shows how risky next move really is
6. let Opus read the market regime from those futures, most paths pointing the same way means TRENDING, paths scattered both ways means CHOPPY
7. have Opus turn the forecast and the regime into clear entry, exit and stop rules, then backtest them on a year of history with real fees and slippage
8. then plot Kronos’s predicted path next to real candles using TradingView’s free Lightweight Charts library & watch it for a few days before you trust it
9. paper trade it first, then let Opus wire up Telegram bot so your phone pings the moment a high confidence trending setup forms
if you want to build an AI trading system from scratch, start with this article below:
