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No Code Backtesting in Excel. Long guide. Following recent discussion started by THE SHORT BEAR regarding backtesting OHLC daily data - Here are Exact formula’s, locates + fees & optimization to backtest your strategy (google sheets link at the end) 👇

Niv Goren

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27,600 görüntüleme • 3 yıl önce •via X (Twitter)

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❔ A Question for Our Community 👇 Would you rather build a trading strategy yourself or refine one suggested by AI? 🤖 Strategy creation always starts with an idea. The real work begins later: shaping the logic, adjusting parameters, defining risk, and deciding whether the setup is worth going live. AI can speed up the starting point. Backtesting shows whether the idea actually holds up. 💡 Want to test both paths before execution? Backtest your ideas here 👉 💬 Share how you usually approach strategy building.

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Kimi just wiped out Google Docs, Excel, and PowerPoint in one quiet update. While most people still treat AI like a fancy typing assistant, Kimi Premium shipped something completely different: AI that creates finished professional files directly from conversation. Not exports. Not drafts. Real Excel, Word, PPT, and PDFs built at the structural level. Ask for five years of financials on the Magnificent Seven and it doesn’t summarize. It builds a multi-sheet Excel workbook with balance sheets, income statements, cash flows, clean formatting, and sourced data like a senior analyst prepared it. Someone asked for a DCF on Apple. Kimi produced a full valuation model with assumptions, discount rates, scenario analysis, and citations. Another user fed in one payroll Excel file and got 30 individualized, encrypted PDF payslips out. End-to-end automation. It gets crazier. It can generate images inside spreadsheets for storyboards. One prompt produced a 20-shot video storyboard Excel with timing, visuals, voiceover text, sound cues, and consistent sketch images per frame. This isn’t better chat. It’s execution replaced. Kimi doesn’t give you content to paste into tools. It gives you the tools’ final output. That’s the shift everyone missed. Try it here:

Hasan Toor

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Startups achieve success slowly, building their company brick by brick. Founders can develop marketing leverage by building a viral or network effects strategy or… by partnering with larger companies who have great distribution themselves and trying to reach through to the end customer with premium offerings. Companies that build their distribution by coming in at a lower than market price should follow up with higher margin products or they will find themselves in a competition that we call “a race to the bottom.” It is mission critical for startups to work to build distribution and market share, but they need to then provide something that their customers can’t live without, and charge enough for it to support the continued distribution strategy. Startup founders: Look at every customer as a long-term partner, because you want your business to be a long-term survivor. Look at every supplier as a long-term partner and make sure they are healthy. Look at every employee as a long-term partner. You want them to grow with you and with the business.

Startups achieve success slowly, building their company brick by brick. Founders can develop marketing leverage by building a viral or network effects strategy or… by partnering with larger companies who have great distribution themselves and trying to reach through to the end customer with premium offerings. Companies that build their distribution by coming in at a lower than market price should follow up with higher margin products or they will find themselves in a competition that we call “a race to the bottom.” It is mission critical for startups to work to build distribution and market share, but they need to then provide something that their customers can’t live without, and charge enough for it to support the continued distribution strategy. Startup founders: Look at every customer as a long-term partner, because you want your business to be a long-term survivor. Look at every supplier as a long-term partner and make sure they are healthy. Look at every employee as a long-term partner. You want them to grow with you and with the business.

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“One of the earliest live recordings by the Grateful Dead, July 3, 1966, at the Fillmore Auditorium shows a band with a bright, long, exciting future ahead…This live recording, produced by Owsley "Bear" Stanley, is some of the peppiest, most inspired live Grateful Dead put to tape." - David Lemieux While the Dead’s archive is legendary for its depth, complete high-fidelity documents of the band’s first year are rare. The July 3rd recording captures the group in the midst of a radical mutation, including the earliest known live recordings of several songs that would largely vanish from the band’s repertoire by the end of the summer. Due July 3rd as a 2CD and exclusive 3LP, limited to 6,600 with an etching on the 6th side, FILLMORE AUDITORIUM, SAN FRANCISCO, CA (7/3/66) was recorded by Owsley “Bear” Stanley, produced by Dave Lemieux, and mastered by Jeffrey Norman at Mockingbird Mastering, with speed correction and tape restoration by Plangent Processes. Pre-order your copy and shop the collection here: Listen to “Cold Rain and Snow” here: 🎨 by D Norsen @dnorsen_design

“One of the earliest live recordings by the Grateful Dead, July 3, 1966, at the Fillmore Auditorium shows a band with a bright, long, exciting future ahead…This live recording, produced by Owsley "Bear" Stanley, is some of the peppiest, most inspired live Grateful Dead put to tape." - David Lemieux While the Dead’s archive is legendary for its depth, complete high-fidelity documents of the band’s first year are rare. The July 3rd recording captures the group in the midst of a radical mutation, including the earliest known live recordings of several songs that would largely vanish from the band’s repertoire by the end of the summer. Due July 3rd as a 2CD and exclusive 3LP, limited to 6,600 with an etching on the 6th side, FILLMORE AUDITORIUM, SAN FRANCISCO, CA (7/3/66) was recorded by Owsley “Bear” Stanley, produced by Dave Lemieux, and mastered by Jeffrey Norman at Mockingbird Mastering, with speed correction and tape restoration by Plangent Processes. Pre-order your copy and shop the collection here: Listen to “Cold Rain and Snow” here: 🎨 by D Norsen @dnorsen_design

Grateful Dead

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I just built a Google Ads Builder in Claude Code that turns one URL into a complete, launch-ready campaign 🤯 Point it at your website and it builds the whole Google Search campaign — keywords, ad groups, every headline, the negative list — structured the way a good paid-search manager would. All inside Claude Code. Perfect for DTC brands and agencies who need Search live but don't have days to build it right. If you're staring at a blank Google Ads account, researching keywords one browser tab at a time, writing 15 headlines per ad group to a 30-character limit, guessing at a negative list while budget quietly leaks on junk clicks... This builds the entire campaign from a single input — your homepage URL: → Reads your site and works out what you sell and who for → Groups keywords into tight, high-intent ad groups → Writes every Responsive Search Ad — 15 headlines, 4 descriptions, to Google's exact limits → Builds a negative-keyword list so you stop paying for junk clicks → Adds sitelinks, callouts, match types, bidding, and a budget split → Exports a Google Ads Editor CSV you import in one click No blank-account paralysis. No keyword rabbit holes. No character-counting 60 headlines by hand. What you get: → A launch-ready campaign from just your URL → Tight ad groups built for Quality Score, not a keyword dump → Every ad written to Google's limits and policy → A one-click CSV import plus a full campaign dashboard Built 100% in Claude Code. No API keys, no Google Ads login. And I'm not sending a playbook this time — I'm giving the whole skill away for free. The actual file. Install it and build your own campaign in 5 minutes. Want the skill? > Like this post > Comment "BUILD" And I'll send it over (must be following so I can DM)

Mike Futia

60,355 görüntüleme • 29 gün önce

How to build your own weather trading bot Every weather trader making money on Polymarket follows the same 7 steps. Free data. Simple formula. Repeat daily Traders making $20k-$180k all started here free APIs, basic math the crowd ignores, and patience Here's the playbook: Step 1: Pick 2-3 cities Don't try to trade everything. Start with NYC, Chicago, and one international city. Learn how the forecast behaves for those exact locations. Fewer cities = faster feedback loop Start copy-trading any trader even with $10 → Step 2: Pull free forecast data Open-Meteo API free, no API key, updates every 6 hours. NOAA official US government forecasts, 85-90% accurate at 1-2 days. Windy / Ventusky, visual model viewers to sanity-check your data These are the same data sources the top weather traders use. All free. All public Step 3: Turn forecasts into probabilities The market shows 8-12 temperature buckets (25°C, 26°C, 27°C). Your job: calculate the real probability for each bucket based on the forecast Simple method: > take the forecast daily max > assume ±1.5°C error range > simulate 50,000 scenarios > count how many land in each bucket > that's your probability per bucket

How to build your own weather trading bot Every weather trader making money on Polymarket follows the same 7 steps. Free data. Simple formula. Repeat daily Traders making $20k-$180k all started here free APIs, basic math the crowd ignores, and patience Here's the playbook: Step 1: Pick 2-3 cities Don't try to trade everything. Start with NYC, Chicago, and one international city. Learn how the forecast behaves for those exact locations. Fewer cities = faster feedback loop Start copy-trading any trader even with $10 → Step 2: Pull free forecast data Open-Meteo API free, no API key, updates every 6 hours. NOAA official US government forecasts, 85-90% accurate at 1-2 days. Windy / Ventusky, visual model viewers to sanity-check your data These are the same data sources the top weather traders use. All free. All public Step 3: Turn forecasts into probabilities The market shows 8-12 temperature buckets (25°C, 26°C, 27°C). Your job: calculate the real probability for each bucket based on the forecast Simple method: > take the forecast daily max > assume ±1.5°C error range > simulate 50,000 scenarios > count how many land in each bucket > that's your probability per bucket

Alex

13,953 görüntüleme • 4 ay önce

I just got Gemma 4 26B A4B MoE model running fully locally with Hermes agent on an 8GB RTX 4060 and it's now backtesting trading strategies end to end, no hand holding. If you’re a trader or work on Wall Street, you don’t want to miss this. Yes. fully automated. No cloud. No APIs beyond market data. # Here's what I did: Setup: - Model: Gemma 4 26B-A4B QAT (MoE), Q4_K_XL Unsloth's quant (link in the comments) - Inference: llama.cpp (turboquant fork by Tom Turney link in the comments) - Hardware: RTX 4060, 8GB VRAM + 16GB RAM only (with 50 other chrome tabs open) - Context: 64K llama.cpp turboquant flags: -m gemma-4-26B-A4B-it-qat-UD-Q4_K_XL.gguf -c 64000 --cache-type-k q8_0 --cache-type-v turbo3 --port 8080 turboquant helps achieve high prefill and decode throughput for interactive sessions. throughput with Hermes agent: decode: 25+ tokens/sec prefill: 250+ tokens/sec # Then I gave the agent one task: Backtest a strategy: - Buy when RSI crosses above 30 - Sell at +2% profit or -1% stoploss - No overlapping positions - Use Google stock via yfinance - Generate a full HTML report with candlestick charts + signals What happened next was wild. It didn't just write code, it ran the entire workflow itself: Audited the environment (pip list, dependency check) Hit a ModuleNotFoundError, multiple Python installs were conflicting Ran where python to map every interpreter on the system Manually selected the correct Python 3.13 path and re ran the script Wrote a clean statevmachine backtester (strict no overlapping trades logic) Patched a yfinance MultiIndex quirk that would've crashed the script Built Plotly candlestick + RSI charts with buy/sell markers Calculated win rate, PnL, and summary stats Exported a polished single file HTML report. check the report at the end of the video or in the comments. Biggest takeaway: local LLMs aren't just "chat assistants" anymore. They debug their own environment, write production code, and ship a finished deliverable on consumer hardware, for $0 in API costs. If you're still calling local models "toys," you're already behind. This is just the beginning. Hermes agent just surpassed 1 trillion tokens in a single day on OpenRouter. Think about the scale of total token generation happening right now. Disclaimer: This is not financial advice. Consult a professional before making any trading decisions.

I just got Gemma 4 26B A4B MoE model running fully locally with Hermes agent on an 8GB RTX 4060 and it's now backtesting trading strategies end to end, no hand holding. If you’re a trader or work on Wall Street, you don’t want to miss this. Yes. fully automated. No cloud. No APIs beyond market data. # Here's what I did: Setup: - Model: Gemma 4 26B-A4B QAT (MoE), Q4_K_XL Unsloth's quant (link in the comments) - Inference: llama.cpp (turboquant fork by Tom Turney link in the comments) - Hardware: RTX 4060, 8GB VRAM + 16GB RAM only (with 50 other chrome tabs open) - Context: 64K llama.cpp turboquant flags: -m gemma-4-26B-A4B-it-qat-UD-Q4_K_XL.gguf -c 64000 --cache-type-k q8_0 --cache-type-v turbo3 --port 8080 turboquant helps achieve high prefill and decode throughput for interactive sessions. throughput with Hermes agent: decode: 25+ tokens/sec prefill: 250+ tokens/sec # Then I gave the agent one task: Backtest a strategy: - Buy when RSI crosses above 30 - Sell at +2% profit or -1% stoploss - No overlapping positions - Use Google stock via yfinance - Generate a full HTML report with candlestick charts + signals What happened next was wild. It didn't just write code, it ran the entire workflow itself: Audited the environment (pip list, dependency check) Hit a ModuleNotFoundError, multiple Python installs were conflicting Ran where python to map every interpreter on the system Manually selected the correct Python 3.13 path and re ran the script Wrote a clean statevmachine backtester (strict no overlapping trades logic) Patched a yfinance MultiIndex quirk that would've crashed the script Built Plotly candlestick + RSI charts with buy/sell markers Calculated win rate, PnL, and summary stats Exported a polished single file HTML report. check the report at the end of the video or in the comments. Biggest takeaway: local LLMs aren't just "chat assistants" anymore. They debug their own environment, write production code, and ship a finished deliverable on consumer hardware, for $0 in API costs. If you're still calling local models "toys," you're already behind. This is just the beginning. Hermes agent just surpassed 1 trillion tokens in a single day on OpenRouter. Think about the scale of total token generation happening right now. Disclaimer: This is not financial advice. Consult a professional before making any trading decisions.

Alok

105,094 görüntüleme • 1 ay önce

Get ready for a HUGE Discord event on May 9th‼️🔥 We are giving away some amazing prizes! Secure your $20 discount by getting on the guest list! Link in bio! Frequently Asked Questions: Q: How can I chat with other members? 😍 A: Join our Discord! Link in bio! Q: How do I become a member? A: Arrive to the club in dress code with your ID & fees. Q: How much does it cost? A: Pricing structure listed on Q: Do you offer a 1-day pass? A: Not at this time. Visit for more. #trapezefortlauderdale #trapezeatlanta #lifestyleclub #lifestyleparties

Get ready for a HUGE Discord event on May 9th‼️🔥 We are giving away some amazing prizes! Secure your $20 discount by getting on the guest list! Link in bio! Frequently Asked Questions: Q: How can I chat with other members? 😍 A: Join our Discord! Link in bio! Q: How do I become a member? A: Arrive to the club in dress code with your ID & fees. Q: How much does it cost? A: Pricing structure listed on Q: Do you offer a 1-day pass? A: Not at this time. Visit for more. #trapezefortlauderdale #trapezeatlanta #lifestyleclub #lifestyleparties

Trapeze Club

19,816 görüntüleme • 1 yıl önce

🌟 Sell Website Templates with Your Own No-Code Store! Web designers and developers—it’s time to monetize your creativity with your own website template shop! With our E-commerce dApp Builder, you can launch a cross-platform store in minutes and start selling WordPress themes, HTML templates, and UI kits—all without writing a single line of code. ✅ Sell Digital Products – WordPress themes, Webflow, HTML & more ✅ Cross-Platform by Default – Android, iOS, Web, Windows, Mac, Linux ✅ Powered by #ION – Fast, secure, and decentralized Forget third-party platforms taking high fees—own your marketplace, set your pricing, and sell directly to your audience. 🚀 The future of digital asset commerce is here. Are you in?

🌟 Sell Website Templates with Your Own No-Code Store! Web designers and developers—it’s time to monetize your creativity with your own website template shop! With our E-commerce dApp Builder, you can launch a cross-platform store in minutes and start selling WordPress themes, HTML templates, and UI kits—all without writing a single line of code. ✅ Sell Digital Products – WordPress themes, Webflow, HTML & more ✅ Cross-Platform by Default – Android, iOS, Web, Windows, Mac, Linux ✅ Powered by #ION – Fast, secure, and decentralized Forget third-party platforms taking high fees—own your marketplace, set your pricing, and sell directly to your audience. 🚀 The future of digital asset commerce is here. Are you in?

Ice Open Network

52,401 görüntüleme • 1 yıl önce

Claude Code + Google Stitch 2.0 is f*cking cracked 🤯 Google just dropped a free AI design agent that solves Claude Code's biggest weakness: frontend design. One screenshot of a high-converting landing page → a production-ready site for your brand in minutes. All inside Google Stitch + Claude Code. Perfect for DTC brands and agencies who are building advertorial pages and product launch pages for Meta but burning days on designer back-and-forth. If you're running Meta ads and need 5-10 different landing pages testing different hooks, angles, and offers — each one targeting a different audience and pain point — you know the bottleneck isn't the ads. It's the pages. Briefing designers, waiting for revisions, paying $2-5K per page. Stitch eliminates the design bottleneck: → Find a high-converting advertorial that's scaling on Meta → Screenshot it and drop it into Stitch (powered by Gemini 3.1) → Stitch redesigns it with your brand's colors, fonts, and imagery using Nano Banana 2 → Edit sections visually — headlines, CTAs, layouts — without touching code → Export the code and paste it into Claude Code → Claude builds the full production site and deploys to Vercel or Netlify in 60 seconds No designer. No $3K per landing page. No Claude Code frontend that looks like a template from 2019. What you get: → Designer-quality landing pages and advertorials built in minutes, not weeks → Visual editing so you actually see the design before you code it → Nano Banana 2 generating on-brand product imagery and hero shots → A repeatable system — new angle, new page, same pipeline Built 100% with Google Stitch 2.0 + Claude Code. I put together a full playbook showing the exact workflow: how to find winning pages, redesign them in Stitch, and deploy with Claude Code. Want it for free? > Like this post > Comment "STITCH" And I'll send it over (must be following so I can DM)

Mike Futia

125,923 görüntüleme • 4 ay önce

Its not every day you wake up to find that the Pope has made your lifes work the central focus of his papacy: “Disarming AI means freeing it from the mentality of “armed” competition [..] This entails a race for ever more powerful algorithms and larger datasets, driven by the desire to secure geopolitical or commercial dominance." - POPE LEO XIV, May 2026 Here, “disarmed” means “neutralised” in the sense that this should not be a differentiator The Innovation Game (TIG) was created to keep data and algorithms open, in order to prevent monopolistic control It's not just an aspiration, it's an economic mechanism that makes open data and open algorithms the rational economic choice • All algorithms are published openly by TIG • If you are willing to make the data you process with an algorithm open, you can use it free-of-charge • Alternatively, if you would like to keep this data private, there is a fee to pay for using the algorithm • All fees are used to fund more open innovation Its an elegant, global, self-reinforcing engine The logical end point of monopoly is that innovation stops We cannot allow that to happen Pope Leo XIV I would be grateful for your thoughts on The Innovation Game

Its not every day you wake up to find that the Pope has made your lifes work the central focus of his papacy: “Disarming AI means freeing it from the mentality of “armed” competition [..] This entails a race for ever more powerful algorithms and larger datasets, driven by the desire to secure geopolitical or commercial dominance." - POPE LEO XIV, May 2026 Here, “disarmed” means “neutralised” in the sense that this should not be a differentiator The Innovation Game (TIG) was created to keep data and algorithms open, in order to prevent monopolistic control It's not just an aspiration, it's an economic mechanism that makes open data and open algorithms the rational economic choice • All algorithms are published openly by TIG • If you are willing to make the data you process with an algorithm open, you can use it free-of-charge • Alternatively, if you would like to keep this data private, there is a fee to pay for using the algorithm • All fees are used to fund more open innovation Its an elegant, global, self-reinforcing engine The logical end point of monopoly is that innovation stops We cannot allow that to happen Pope Leo XIV I would be grateful for your thoughts on The Innovation Game

John Fletcher (𝔦, 𝔦)

11,722 görüntüleme • 2 ay önce

You can make $600K. With a bot that earns $83 every hour, 24/7, no days off, 365 days straight. By buying both sides of the same match on Polymarket and locking profit before the game even starts. > The bot buys YES and NO simultaneously on sports markets. > When combined price is below $1 - profit is locked instantly. > 7,877 trades. > $619K in 12 months. Check the wallet here: I reverse-engineered every trade and rebuilt the full logic in Claude Opus 4.6. The strategy, the math, both arb types, the exact 5-step bot architecture - all in the article. Feed it to your OpenClaw, let it spec the bot for Claude Opus 4.6, and you are set.

You can make $600K. With a bot that earns $83 every hour, 24/7, no days off, 365 days straight. By buying both sides of the same match on Polymarket and locking profit before the game even starts. > The bot buys YES and NO simultaneously on sports markets. > When combined price is below $1 - profit is locked instantly. > 7,877 trades. > $619K in 12 months. Check the wallet here: I reverse-engineered every trade and rebuilt the full logic in Claude Opus 4.6. The strategy, the math, both arb types, the exact 5-step bot architecture - all in the article. Feed it to your OpenClaw, let it spec the bot for Claude Opus 4.6, and you are set.

may.crypto {🦅}

998,611 görüntüleme • 5 ay önce

Claude Fable 5 was too powerful, it used to watch the weather world wide, the second a season turned, it restyled a local business's storefront for it and mailed the owner the contractor who'd build it on autopilot here's how you build the same system with claude opus 4.8 + openclaw: - monitors live weather in every city in real time (free public data) - catches the season the moment it turns: rain, heat, winter - pulls a real business, its address and storefront photo from google - vision-checks the frontage, rejects the ones with no patio - renders that exact storefront for the season: rain canopy, patio heaters, shade + misting - prints the pitch on a postcard: "winter's coming, keep your patio open" - mails it to the owner, signed by the installer, with a QR to the render every step from the forecast to the render to the mailbox is automated reply "SEASON" + RT and i'll send you a free guide so you can build this too (must be following so i can DM you)

Claude Fable 5 was too powerful, it used to watch the weather world wide, the second a season turned, it restyled a local business's storefront for it and mailed the owner the contractor who'd build it on autopilot here's how you build the same system with claude opus 4.8 + openclaw: - monitors live weather in every city in real time (free public data) - catches the season the moment it turns: rain, heat, winter - pulls a real business, its address and storefront photo from google - vision-checks the frontage, rejects the ones with no patio - renders that exact storefront for the season: rain canopy, patio heaters, shade + misting - prints the pitch on a postcard: "winter's coming, keep your patio open" - mails it to the owner, signed by the installer, with a QR to the render every step from the forecast to the render to the mailbox is automated reply "SEASON" + RT and i'll send you a free guide so you can build this too (must be following so i can DM you)

Chris

37,865 görüntüleme • 1 ay önce