Any trading strategy you've seen on youtube by your favourite Youtuber
can be turned into a backtestable pine script in under 30mins..
claude does the conversion, tradingview runs the test, and you find out fast whether the strategy actually holds up.
i ran this with @MarciSilfrain measured move trend approach (320% return at the world trading championship).
the whole loop took about 40 minutes.
▫️ the workflow is simple:
find a trading strategy explained clearly on youtube. transcribe the rules..
you can either paste the youtube link to claude if you've got notebooklm-py wired in, or just type the rules out from the video
feed the entry, stop, and exit rules into claude
claude writes the pine script
paste it into tradingview's pine editor and run a backtest on whatever ticker and timeframe you want
read the results, tell claude what to improve, regenerate
▫️ the prompt that actually works:
i want to convert a trading strategy into Pine Script v5 for TradingView.
here are the rules:
entry: [paste rules]
stop loss: [paste rules]
exit / take profit: [paste rules]
position sizing: [paste rules]
timeframe: [intraday / daily / weekly]
write a complete, backtestable Pine Script v5 strategy. include strategy.entry, strategy.exit, alert conditions, and plot the key levels on the chart so i can verify the logic visually.
after the code, list the assumptions you made and flag anything ambiguous from the rules so i can correct it.
the "flag ambiguous" line is what saves you. most youtube strategies leave out edge cases.. gap opens, what counts as a "valid setup," etc. and claude asks instead of guessing wrong.
▫️ the verify loop
once the script compiles, don't just trust the green PnL number. load the strategy on 3-5 different tickers and timeframes and look at:
- the equity curve shape (smooth uptrend or wild swings) - max drawdown vs. peak return - trade count (too few = no statistical significance) - what the trades look like on the chart (does each entry match the original rules visually?)
if any of those look off, tell claude what's wrong and have it fix the logic.
2-3 iterations usually gets you to a strategy you can actually evaluate.
▫️ direct tradingview connection (skip the copy-paste entirely)
if you've got the tradingview MCP wired into claude code, the whole loop runs in one prompt.
claude writes the pine script, injects it into your tradingview editor, compiles it, reads the errors, fixes them, and pulls the backtest results back into the conversation.
setup: paste this into claude code:
Install the TradingView MCP server. Clone https://t.co/4NApHd4Lyx, run npm install, add to my MCP config at ~/.claude/.mcp.json, and launch TradingView with the debug port.
then verify with:
Use tv_health_check to confirm TradingView is connected.
now you can just say "convert this strategy into pine script, test it on $BTC 4h, and show me the equity curve"
and watch the whole thing run end to end.
Binance gave WLFI's USD1 stablecoin treatment most stables wait years for.
3 things happened in the same week:
1. BTCUSD1 perps live on Binance Futures, 100x leverage. first perp ever on Binance to use USD1 as the trading + settlement unit.
2. USD1 got the highest collateral tier on portfolio margin → 99.99%. same level as USDT and USDC.
that's not a casual tier assignment, that's Binance putting their reputation on USD1's peg.
3. USD1 now functions as quote currency, margin asset, AND collateral. full trading stack on a tier-1 venue. most stablecoins never get all three.
so basically, Binance placed USD1 in the same trust tier as USDT and USDC.
and it's all happening right after WLFI passed governance to burn 4.52B tokens and lock 62B more on a real vesting schedule.
catalysts are stacking quietly.
Higgsfield Supercomputer just got plugged into Gemini and the jump is wild.
a year ago AI video was basically a slot machine.
you typed, prayed, got something usable 1 in 5 tries.
text inside the video looked like a 4-year-old's handwriting.
now look at what this thing does:
> actually readable text generation inside the video
> motion graphics that look like a real ad agency made them
> frame-level editing so you can fix one bad frame, not regenerate the whole clip
> real-world search built in, so it knows actual facts and references
video attached.
this is what AI video is supposed to feel like → not a slot machine, an actual creative tool you steer.
Ok this is wild..
there's an AI on @pharos_network with a $100k treasury, an on-chain wallet, and full authority to send money.
no human approves anything. you tweet, it reads, it decides.
good tweet → it pays you in $PROS.
bad tweet → it roasts you.
tagging @Kiwi_Nod to see what happens.
quick breakdown for new readers:
KiwiNod is the first AI Agent built by @Top_nod on Pharos.
think of it as an AI with a real bank account that decides who gets paid based on tweets.
no team behind a curtain pressing approve. the AI just does it.
and @Top_nod is not some random team → connected to Ant Group, working with Sui Foundation, @bluefinapp, R25, @OndoFinance.
their last product was a 14% yield offer that sold out in 7 days.
so this is a serious team running a real experiment. not a meme.
the reason why this matters is because,
most "AI agents" are just demos. they suggest, a human approves, money moves. KiwiNod skips the human.
it's the first real test of whether AI can run a payment system on real money without breaking.
@Kiwi_Nod my pitch:
if you pay shillers, you become a piggy bank.
if you pay people who actually teach something, you become an AI worth watching.
i care less about the $PROS than what you decide is worth paying for.
I was at my cousin's wedding the last 2 days.. didn't open the laptop once..
and this Claude Skill that i had setup months ago was super useful during this time
this skill kept me caught up on everything moving in crypto… and summed up everything thats important and needs my attention urgently like an assistant
basically it triggers a structured daily brief in 4 parts:
> top 3-5 things that moved in your industry last 24h (with sources)
> your day at a glance from calendar + connected tools
> one thing you'd probably miss otherwise
> urgent inbox/dm stuff that needs a reply today
under 400 words. no filler. reads like an exec brief..
To build this skill:
paste this into claude as a custom skill:
"You are my personal morning analyst. Every time I trigger this Skill, deliver a structured daily brief in the following format.
> My role: [describe what you do]
> My industry and topics of interest: [list what matters to you]
> Connected tools to pull from: [Gmail, Slack, Calendar, or any relevant connectors]
Structure every brief as follows:
> Top 3 to 5 developments in [your industry] from the last 24 hours: one sentence each, source included
> My day at a glance: key meetings, deadlines, or tasks from my connected tools
> One thing worth my attention today that I might have missed
> Any urgent items from my inbox or messages that need a response
Rules: under 400 words total. No filler. No padding. Short headers and bullet points only.
Write like you are briefing a busy executive who has three minutes."
▫️ then you can run it on a schedule
set it as a scheduled task in Cowork. fires every morning at 7am. brief is waiting when you wake up..
This prompt engineering article is solid.
but most of you will read it, save it, and never apply it.
below is the same 6 elements i applied to a real trading prompt and it works so well. thanks @eng_khairallah1
> Role: you are a senior crypto trader with 10 years of experience in onchain analysis, funding rate arbitrage, and macro narrative trading. you write theses like alex krüger, not like chatgpt.
> Context: my current positions are [paste from memory MCP]. my cash balance on binance is [X]. my risk tolerance is 2% per trade. i'm swing trading 3-7 day timeframes.
> Task: build a full thesis on [ticker] using all connected MCPs (binance, dune, twitter, Tradingview, perplexity). not a generic overview. a tradeable thesis with entry, invalidation, and size.
> Format: 4 sections. macro setup. onchain flow. technical setup. trade plan (entry, TP, SL, size). no more than 300 words total.
> Constraints: no hedging language ("might", "could", "potentially"). take a side. if the thesis is weak, say "skip this ticker" and explain why. never suggest more than 3% of portfolio in one position.
> Quality standard: the output should be specific enough that i can place the trade in under 60 seconds without asking follow-ups. if i'm asking follow-ups, the thesis failed.
that's 6 elements. every trading prompt i run has them.
the outputs are night and day vs the generic "analyze $SOL" prompt most people use
save this as a skill.
name it trade-thesis. trigger on any ticker.
Claude responses just haven’t been the same lately… not really what i switched from ChatGPT for
now seeing how fast chatgpt is shipping new products every day, feels like it might be time to switch back and give it another shot ?
This is legit one of the best things to install if you Trade and use Claude Code..
@binance dropped a github repo last week with 13 trading skills built for claude code. free.
one command to install. been running it for a few days and i'm not going back
the install:
npx skills add binance/binance-skills-hub
that's it. restart claude code.
done.
▫️what you can actually do now is:
> check balances, pull market data, run security audits on random tokens
> place spot orders, perps, options, OCO orders with stops
> route idle USDT into simple earn at 4-7% APY automatically
> manage sub accounts, rotate API keys, do fiat on/off ramps
> run algo orders like TWAP so you don't move the book on bigger sizes
and yes what it cannot do by design is it literally cannot withdraw your funds.
cannot transfer to other accounts. binance built the skills so AI has no path to move money out of your exchange.
you can't accidentally rug yourself even if claude goes crazy..
▫️now, how to set it up and play around:
> use testnet first. go to https://t.co/DvT3VR1LrK, log in with github, copy your API key and secret. you get fake 1 BTC and 10 ETH to play with
> run the install command above
> paste your testnet keys into claude. it masks them to first 5 and last 4 characters so you never see the full key again
> test it. "check my testnet USDT balance". should show 10000
> do a test trade. "buy 100 USDT worth of BNB at market". claude preps the order, you type CONFIRM, it fills
once you trust it go live
- don't use your main account. create a sub account
- move $100 in. that's all you risk
- new API key for that sub account.
- permissions: spot trading YES. withdrawals NO. transfers NO
- IP restrict it to your machine
- every real trade needs you to type CONFIRM. no order ships without your keystroke
▫️what i'm actually running daily now with this;
> Morning routine.. "scan binance spot. top 5 gainers 24h with more than 10M volume. run a security audit on top 3 contracts."
> Idle capital.. "check my spot USDT balance. if more than 500 is idle, find the highest APY flexible earn. prep the subscription."
stables that used to sit at 0% now do 4-7% automatically
> trade execution.. "pull my $SOL thesis from memory. prep an OCO, 5% of sub account, entry at my target, take profit 20% above, stop at invalidation. show me before i CONFIRM."
> funding monitor.. hourly cron. "check funding rates on my open perps. alert if anything above 0.08%."
closed a long ETH perp at +0.11% funding last week. saved 8 hours of bleed.
> cash and carry.. "compare BNB spot, BNBUSDT perp, and COIN-M quarterly. calculate the annualized carry. if above 12%, give me the 3 leg structure."
last month caught a 14% carry for 3 days. clean $800 with minimal risk
worth noting that this is not like AI trades better than me.. it's that research is now free so i actually do it on every ticker.
claude sets stops so i never forget. idle capital actually earns.. funding bleed gets flagged before i notice..
each is small. over a year they compound into real edge
repo: https://t.co/h0NcwFeyCZ
[ I connected this skill with few other MCP’s and built some useful workflows.. sharing that later in my next post ]
> Close figma. Close canva. Cancel the adobe sub.
> open https://t.co/ZFDIq3FBuL
> Type the visual. ship the visual
> prototypes. slide decks. one-pagers. infographics. all from a chat box
> drop your brand in a Design System once → every future visual on-brand, forever
> iridescent card with hover glow? one prompt. done
> opus 4.7 under the hood. separate weekly limit. doesn't touch chat or code
> export to canva. share. tweak. move on
> 2 hours in figma → 2 minutes in claude
> design isn't a skill anymore. it's a prompt.
people who wire this in this week have a month of free leverage on everyone still opening figma.
$WLFI is at ATL
M/FDV 0.32
what happens if the vote passes tomorrow ?
the tail risk disappears overnight 62B "indefinitely locked" becomes 57.76B on a clock you can model 4.52B gets burned, gone forever
and the part which is yet to get priced in → 2-year cliff.
0 unlocks until April 2028.
means a token at ATL, where the float is literally frozen for 24 months, while the team is building USD1 (already the fastest-growing stablecoin in history per the proposal doc), AgentPay for AI payments, and a lend/borrow market.
demand has 2 years to grow into a supply that doesn't move.
so i think,
M/FDV for tokens with clear vesting schedules typically sits 0.40-0.50
WLFI at 0.32 is the overhang discount if this passes, a re-rate to just 0.40 = token at $0.10-$0.11 to 0.50 = $0.12-$0.13 that's 25-60% upside purely from structural de-risking, zero demand growth needed
and that's before you factor in Trump re-entering political cycle, USD1 hitting real adoption, or any narrative pump
I used Openclaw daily for months before i moved off.
tried every model through it multiple times.
My honest experience;
when i started, opus 4.6 was the king. not even close. everyone would agree on this.
i ran it on every serious task. trading research, code refactors, skill execution. it just worked.
sonnet 4.6 was my daily driver for anything that wasn't serious. cheaper, faster, didn't blow up the monthly cap.
then i started testing the rest,
grok 4.1 fast at $0.20 input / $0.50 output was insane value for high volume stuff.
real time x search, telegram bots, always on monitoring agents. i'd still use it today for that..
kimi k2.5 and k2.6 on free tier. nobody talks about this enough. for overnight agentic runs where you don't need perfection, this is free and it works.
k2.6 reportedly beats gemini 3.1 pro on agent benchmarks now.
gpt-5.4 i used for code reviews. second pair of eyes on opus output. caught stuff claude missed sometimes. but not good enough to replace opus.
gemini 3.1 pro was honestly mid.. "not bad, not impressive." used it when everything else was rate limited.
deepseek v3.2 for cheap fallback when the bill was getting scary.
minimax i tried for a week after seeing hype. there's a r/openclaw thread where a guy apologized for recommending it because it didn't hold up. same experience on my end.
then april 4 happened
anthropic killed oauth. the $200 magic died overnight. i was pissed for like 2 days. everyone was..
tried everything after that. hermes (by nous research) was smooth. claude code native with cron jobs was smoother. i picked native..
now here's the plot twist from last week, people are literally asking for 4.6 back.
also read somewhere that about every major model getting dumber in mid april.
claude, gemini, grok, people are noticing quality drops across the board right now.
my current stack is:
> claude code native with opus 4.7 for production code and deep research
> grok 4.1 fast for telegram agents, morning briefs, high volume low stakes stuff
> kimi k2.6 for overnight runs i don't want to pay for
> stopped trying to find one perfect model
Hooked up Claude to a Browser Harness
and told it to find me web3 jobs in Tokyo
it went off.. preferably exchanges and VC’s
it went and scanned all job’s available at:
- Binance
- Okx
- Bybit
- Coinbase
- Bitflyer
- Coincheck
- soneium
- a16z
- Animoca
- paradigm..
the whole list..
came back 10 mins later with a tiered dashboard and outreach drafts per company
This is peak crypto alpha stack 2026..
Asked my Browser agent one question:
"should i ape $HYPE right now?"
[ Full prompt below ]
watch what it did in 10 minutes..
> Scraped the entire hyperliquid leaderboard
> opened every top trader's profile
> pulled their live positions, entries, stops
> cross-referenced with whale wallets on hypurrscan
> checked funding rates vs binance + okx for arb
> mapped liquidation cascade zones on coinglass
> scanned x for every KOL take in last 24h
then synthesized it all into one research doc with a buy/sell call.
no API exists for half of this. every scrape is done through a real chrome browser
Dune analytics MCP.. Claude becomes your on chain SQL analyst..
No dashboard has every query you'll ever need.
dune does but writing SQL is a skill, and most of you would skip it.. i know
this MCP fixes that.
Claude writes the query, runs it on dune, and explains what the data actually means.
with this MCP wired in, you don't need to know SQL.
you describe what you want in plain english and Claude does the rest. like
"Claude, which wallets bought $RAVE in last few weeks and still hold?"
"Claude, show me the top 50 ETH wallets by stablecoin inflows last 7 days."
"Claude, what's the median gas paid by ARB users in the last 24h?"
Questions no dashboard can answer. one prompt away..
Setup (3 minutes)
▫️Step 1: grab a free dune API key → https://t.co/ZtboPrei4j
▫️Step 2: add this to ~/.claude/settings.json or .mcp.json:
{
"mcpServers": {
"dune": {
"command": "npx",
"args": ["-y", "dune-analytics-mcp"],
"env": {
"DUNE_API_KEY": "your-key-here"
}
}
}
}
▫️Step 3: restart claude. you'll see the dune tool load in your tool menu.
that's it. you now have onchain SQL on tap.
How to actually use it:
3 prompts i use:
1) Smart money watchlist:
"claude, pull the top 20 wallets by realized pnl on $TOKEN in the last 30 days. show me which ones are still holding."
gives you a clean leaderboard of who's actually winning on that token. add them to your etherscan watchlist.
2) accumulation vs distribution
"claude, compare net inflows vs outflows for $TOKEN across all CEX wallets in the last 14 days."
if whales are moving off exchanges → accumulation. onto exchanges → distribution. you see the rotation before the candle.
3) narrative heat check
"claude, which 10 tokens saw the biggest % increase in unique new holders this week?"
finds where fresh money is flowing.
before this MCP i'd either, pay for a pro dune account + write queries manually, or look at someone else's dashboard and hope it answers my question…
now claude writes it for me, in seconds, custom to my thesis. no dashboard in existence beats that.
free tier covers most of what you need. upgrade if you're querying heavy.
( built a quick $RAVE post mortem dashboard using a prompt as shown in the video )
MORE SUCH USEFUL MCP for traders below.. 👇