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Built for hollow play & passive stretching. 🧬 Tunnel Long features an open center for airflow and deep sensory sessions. 📐 📏 Diameters: beginner to extreme! 📷 Pics & link in comments👇 #TunnelPlug #PlatinumSilicone #AnalStretching

Deep Pleasure Toys

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10,636 次观看 • 26 天前 •via X (Twitter)

#TunnelPlug #PlatinumSilicone #AnalStretching

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Rock-solid depth. 📐 Custom thick-walled Tunnel Long. Engineered for maximum rigidity, no bending, no sagging. A perfect, stable frame for your stretching journey. 🔥 📸 and link in comments👇 #TunnelPlug #HollowPlug #SiliconeTunnel #StretchingJourney #RigidTunnel

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Rock-solid depth. 📐 Custom thick-walled Tunnel Long. Engineered for maximum rigidity, no bending, no sagging. A perfect, stable frame for your stretching journey. 🔥 📸 and link in comments👇 #TunnelPlug #HollowPlug #SiliconeTunnel #StretchingJourney #RigidTunnel

Deep Pleasure Toys

404,841 次观看 • 5 个月前

The ultimate for long-term wear. 🧬 Meet the T-Plug 3 & 4 series. Engineered for all-day passive stretching. We offer a shape and size for everyone, we’re happy to help you find your perfect fit! 📐 📸 & links in comments👇 #TPlug #LongWear #PassiveStretching #BodySafe

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The ultimate for long-term wear. 🧬 Meet the T-Plug 3 & 4 series. Engineered for all-day passive stretching. We offer a shape and size for everyone, we’re happy to help you find your perfect fit! 📐 📸 & links in comments👇 #TPlug #LongWear #PassiveStretching #BodySafe

Deep Pleasure Toys

1,410,433 次观看 • 5 个月前

🌀 Go deeper in style. This 15×10 cm Tunnel Plug isn’t just long — it’s a visual stunner in blue & orange transition. Made for intense stretching and bold sensations. 👉 #TunnelPlug #ExtremeStretching #AnalToys #HollowPlug

🌀 Go deeper in style. This 15×10 cm Tunnel Plug isn’t just long — it’s a visual stunner in blue & orange transition. Made for intense stretching and bold sensations. 👉 #TunnelPlug #ExtremeStretching #AnalToys #HollowPlug

Deep Pleasure Toys

12,385 次观看 • 1 年前

The perfect taper. 📐 Our Cone Plug Short is designed for focused intensity. While this one is a compact version, we offer a massive range of diameters and lengths to fit your specific journey perfectly. 🧬 📸 and link in comments👇 #ConePlug #StretchingPlugs #BodySafe #Dildo

The perfect taper. 📐 Our Cone Plug Short is designed for focused intensity. While this one is a compact version, we offer a massive range of diameters and lengths to fit your specific journey perfectly. 🧬 📸 and link in comments👇 #ConePlug #StretchingPlugs #BodySafe #Dildo

Deep Pleasure Toys

24,446 次观看 • 5 个月前

Introducing BuzzKit, an Open Source Notification Orchestration Layer BuzzKit is built to make notifications as simple as possible, with everything you need for push, live activities, email & SMS built in from the start Link and more info ↓

Introducing BuzzKit, an Open Source Notification Orchestration Layer BuzzKit is built to make notifications as simple as possible, with everything you need for push, live activities, email & SMS built in from the start Link and more info ↓

Christo

61,368 次观看 • 25 天前

A guy in Vancouver built an entire operating system inside a Chrome tab. By himself. Over six years. His personal website is the OS. You open and a Windows-style desktop loads. File explorer. Start menu. Taskbar. You can drag in a zip and extract it. You can play DOOM. You can play Quake III Arena. You can boot Linux from an ISO. You can run Stable Diffusion locally for image generation. You can open a Python terminal. You can edit code in Monaco, the same engine that powers VS Code. All of it runs in your browser tab. Nothing installs. His name is Dustin Brett. Self-taught engineer. Father. Husband. 4,473 commits. All his. He had to swap the Windows icon for the π symbol because of legal pressure. The repo has 12,883 stars. MIT license. His hosting bill is one dollar a month. A single Cloudflare CDN does the rest. This is what the open web was built for. (Link in the comments)

A guy in Vancouver built an entire operating system inside a Chrome tab. By himself. Over six years. His personal website is the OS. You open and a Windows-style desktop loads. File explorer. Start menu. Taskbar. You can drag in a zip and extract it. You can play DOOM. You can play Quake III Arena. You can boot Linux from an ISO. You can run Stable Diffusion locally for image generation. You can open a Python terminal. You can edit code in Monaco, the same engine that powers VS Code. All of it runs in your browser tab. Nothing installs. His name is Dustin Brett. Self-taught engineer. Father. Husband. 4,473 commits. All his. He had to swap the Windows icon for the π symbol because of legal pressure. The repo has 12,883 stars. MIT license. His hosting bill is one dollar a month. A single Cloudflare CDN does the rest. This is what the open web was built for. (Link in the comments)

Nav Toor

72,629 次观看 • 3 个月前

We built an interactive 3D module to teach kids about what temperature does to water. - You adjust the temperature in real time - You see the impact on the state of water and what's changing at a molecular level - You can unlock two secret states in there if you pass a quick quizz This is the first of a giant series. We're turning the open source Marble App curriculum into a full bank of these interactive lessons. One for each topic kids learn in primary school. If you are a parent or primary school teacher, let us know in comments which module you want to see next. Link to play with the water lab below 👇

We built an interactive 3D module to teach kids about what temperature does to water. - You adjust the temperature in real time - You see the impact on the state of water and what's changing at a molecular level - You can unlock two secret states in there if you pass a quick quizz This is the first of a giant series. We're turning the open source Marble App curriculum into a full bank of these interactive lessons. One for each topic kids learn in primary school. If you are a parent or primary school teacher, let us know in comments which module you want to see next. Link to play with the water lab below 👇

Lionel Mora

118,525 次观看 • 2 个月前

OpenClaw, but built for normal people. Sim is an open-source platform that lets you build AI agent workflows on a drag-and-drop canvas. Connect them to channels like Telegram and WhatsApp and deploy without writing a single line of code. They also have a built-in Copilot that generates entire workflows from plain English, which you can then tweak and customize in the UI. Key features: - Free and open-source (Apache 2.0) - Vector store integration for RAG-grounded agents - Self-host with one command (`npx simstudio`) - Run fully local with Ollama, no API keys needed - Supports vLLM for production-grade self-hosted inference The thing I really like about Sim is the level of control you get. You can add conditional branching, parallel execution, human-in-the-loop approval gates, and even nest workflows inside other workflows. Everything is visible on the canvas, so you know exactly what your agent is doing at every step. And you can build a workflow in Sim, deploy it as an MCP server, and plug it into any agent, including OpenClaw. I've shared the link to Sim's GitHub repo in the next tweet.

OpenClaw, but built for normal people. Sim is an open-source platform that lets you build AI agent workflows on a drag-and-drop canvas. Connect them to channels like Telegram and WhatsApp and deploy without writing a single line of code. They also have a built-in Copilot that generates entire workflows from plain English, which you can then tweak and customize in the UI. Key features: - Free and open-source (Apache 2.0) - Vector store integration for RAG-grounded agents - Self-host with one command (`npx simstudio`) - Run fully local with Ollama, no API keys needed - Supports vLLM for production-grade self-hosted inference The thing I really like about Sim is the level of control you get. You can add conditional branching, parallel execution, human-in-the-loop approval gates, and even nest workflows inside other workflows. Everything is visible on the canvas, so you know exactly what your agent is doing at every step. And you can build a workflow in Sim, deploy it as an MCP server, and plug it into any agent, including OpenClaw. I've shared the link to Sim's GitHub repo in the next tweet.

Akshay 🚀

52,426 次观看 • 7 个月前

Helmor has been out as an open-source coding agent orchestrator for less than a week, and we’re already close to 1,000 GitHub stars!!! As a little gift, we shipped a new feature you’re going to love. 👇 Stop copy-pasting GitHub links, Linear tickets, Slack threads, and random notes into prompts. We're tired of rebuilding context every time I ask an agent to do work. Contexts in Helmor is another step toward a local dev loop: browse, preview, inject context, and dispatch tasks without leaving the app. Before you start a task, Helmor should help you gather the right context first. Try the open-source Helmor — link in the comments. #Helmor

Helmor has been out as an open-source coding agent orchestrator for less than a week, and we’re already close to 1,000 GitHub stars!!! As a little gift, we shipped a new feature you’re going to love. 👇 Stop copy-pasting GitHub links, Linear tickets, Slack threads, and random notes into prompts. We're tired of rebuilding context every time I ask an agent to do work. Contexts in Helmor is another step toward a local dev loop: browse, preview, inject context, and dispatch tasks without leaving the app. Before you start a task, Helmor should help you gather the right context first. Try the open-source Helmor — link in the comments. #Helmor

Caspian 東澔

10,823 次观看 • 5 个月前

New open-source library speeds up whole-body imitation learning. Train the policy below in under 20 minutes ⬇️ LocoMuJoCo2 brings biomechanics and humanoid robotics into one clean, high-speed benchmark. Built for researchers who want to train smarter and faster. What it offers ✅ 22K+ motion trajectories per humanoid model ✅ Supports both MuJoCo and MJX ✅ JAX-based PPO, GAIL, AMP, DeepMimic implementations ✅ Plug-and-play robot2robot retargeting pipeline Whether you’re building humanoids or studying human motion, this toolkit saves you weeks of setup. Github: Thank you, Firas Al-Hafez for sharing this great work!

New open-source library speeds up whole-body imitation learning. Train the policy below in under 20 minutes ⬇️ LocoMuJoCo2 brings biomechanics and humanoid robotics into one clean, high-speed benchmark. Built for researchers who want to train smarter and faster. What it offers ✅ 22K+ motion trajectories per humanoid model ✅ Supports both MuJoCo and MJX ✅ JAX-based PPO, GAIL, AMP, DeepMimic implementations ✅ Plug-and-play robot2robot retargeting pipeline Whether you’re building humanoids or studying human motion, this toolkit saves you weeks of setup. Github: Thank you, Firas Al-Hafez for sharing this great work!

Ilir Aliu

23,221 次观看 • 1 年前

open-sourced the KOL pricing tool i built for Minara AI growth. paste an X handle, get back in 5 seconds: - tier (trader / NFT / builder / influencer / mass + tool-builder overlay) - cash range + ROI per collab type - claude-drafted DM that quotes their actual recent tweets It's a self-hosted vue app that runs locally on your PC. you will need to fill in your own X & LLM API keys. And all rating records stay on your PC as well. also you can change the KOL type based on your product type, "CEX", "defi", "tradfi", etc. repo link in comments.

open-sourced the KOL pricing tool i built for Minara AI growth. paste an X handle, get back in 5 seconds: - tier (trader / NFT / builder / influencer / mass + tool-builder overlay) - cash range + ROI per collab type - claude-drafted DM that quotes their actual recent tweets It's a self-hosted vue app that runs locally on your PC. you will need to fill in your own X & LLM API keys. And all rating records stay on your PC as well. also you can change the KOL type based on your product type, "CEX", "defi", "tradfi", etc. repo link in comments.

antoniayly

17,923 次观看 • 4 个月前

🔎 Where I Find New OSINT Tools Most people spend hours searching for a specific OSINT tool. This is why I want to share with you websites that have almost all OSINT tools. All in one place. Here are 5 worth bookmarking right now. 👇 🗂️ TOOLBOXES ✅ OSINTRack - A growing OSINT tools directory with a clean interface. Good for discovering tools by category quickly. Website link: ✅ OSINT Tools Library - A maintained directory from the OSINT Newsletter. Every tool is tagged by access level (free, limited, or paid). The most actively updated resource of its kind. Website link: ✅ Bellingcat Toolkit - Bellingcat's curated collection of open source investigation tools, organized by category. A trusted resource from one of the most respected names in OSINT. Website link: ✅ OSINT Library - A community-built collection of OSINT tools and resources, organized by investigation type. Great for finding tools you have never heard of before. Website link: ✅ Open Source Intelligence Hub - A clean, no-frills index of OSINT tools and techniques. Useful for quickly scanning what is available across different investigation categories. Website link: __________ Do you know other toolboxes? Let me know in the comments. 👇 P.S. ♻️ Repost if you found this helpful.

🔎 Where I Find New OSINT Tools Most people spend hours searching for a specific OSINT tool. This is why I want to share with you websites that have almost all OSINT tools. All in one place. Here are 5 worth bookmarking right now. 👇 🗂️ TOOLBOXES ✅ OSINTRack - A growing OSINT tools directory with a clean interface. Good for discovering tools by category quickly. Website link: ✅ OSINT Tools Library - A maintained directory from the OSINT Newsletter. Every tool is tagged by access level (free, limited, or paid). The most actively updated resource of its kind. Website link: ✅ Bellingcat Toolkit - Bellingcat's curated collection of open source investigation tools, organized by category. A trusted resource from one of the most respected names in OSINT. Website link: ✅ OSINT Library - A community-built collection of OSINT tools and resources, organized by investigation type. Great for finding tools you have never heard of before. Website link: ✅ Open Source Intelligence Hub - A clean, no-frills index of OSINT tools and techniques. Useful for quickly scanning what is available across different investigation categories. Website link: __________ Do you know other toolboxes? Let me know in the comments. 👇 P.S. ♻️ Repost if you found this helpful.

CyberSudo

11,830 次观看 • 3 个月前

Building RAG is easy. Parsing real, unstructured data is the hard part. Most tools fail when documents get complicated. RAGFlow by InfiniFlow makes the entire process visual and flawless 🔥 It is an (open-source!) engine built specifically to find the exact needle in a data haystack, even across literally unlimited tokens. The platform comes packed with: → "Quality in, quality out" parsing for highly complex formats → Multiple recall paired with fused re-ranking → A built-in Python and JavaScript code executor for agents → An orchestrable ingestion pipeline Here's why it stands out: 1️⃣ Structural Understanding Instead of just scraping text, it handles tables across pages, scanned copies, slides, and Excel sheets natively using deep document understanding. 2️⃣ Grounded Citations Every answer is verifiable. The UI highlights the exact chunks used, allowing you to trace any response directly back to the source material. 3️⃣ Enterprise Synchronization Keep your context constantly updated with native data sync from Google Drive, Notion, Discord, and Confluence. Stop letting bad document parsing ruin your RAG systems. Best part? It's 100% Free and open-source. Link to the repo in 🧵↓

Building RAG is easy. Parsing real, unstructured data is the hard part. Most tools fail when documents get complicated. RAGFlow by InfiniFlow makes the entire process visual and flawless 🔥 It is an (open-source!) engine built specifically to find the exact needle in a data haystack, even across literally unlimited tokens. The platform comes packed with: → "Quality in, quality out" parsing for highly complex formats → Multiple recall paired with fused re-ranking → A built-in Python and JavaScript code executor for agents → An orchestrable ingestion pipeline Here's why it stands out: 1️⃣ Structural Understanding Instead of just scraping text, it handles tables across pages, scanned copies, slides, and Excel sheets natively using deep document understanding. 2️⃣ Grounded Citations Every answer is verifiable. The UI highlights the exact chunks used, allowing you to trace any response directly back to the source material. 3️⃣ Enterprise Synchronization Keep your context constantly updated with native data sync from Google Drive, Notion, Discord, and Confluence. Stop letting bad document parsing ruin your RAG systems. Best part? It's 100% Free and open-source. Link to the repo in 🧵↓

Charly Wargnier

19,220 次观看 • 6 个月前

🟦 What's Oceanus Chain ( $OCS ) ? The future of decentralized intelligence isn't coming it’s being built right now. Step into the ecosystem. This is Oceanus Chain : empowering traders, builders, and the community through next-gen infrastructure. ⚡️ Here's what's happening beneath the surface: 🔹 Oceanus OS : A custom-built operating system layer designed to streamline the Web3 experience, merging intelligence, security, and next-gen usability into one seamless interface. 🔹 ORCA | Ocean Map Analysis: Explore the crypto market through a new lens. ORCA transforms token analysis into an intuitive Ocean Map experience, helping you discover what's happening beneath the surface. 🔹 OG Play & Earn: Our OG community can play daily and earn $OCS rewards, with daily rewards reaching values of up to $70. 🔹 Open Source: The Oceanus ecosystem is now fully open source on GitHub. 🔹 Staking: Secure the network, earn passive rewards, and compound your holdings. 🔹 Tokenomics: Built for the community. 60% allocated to the ecosystem pool and 40% available through the presale. 🔹 Oceanus Launcher: Be among the first to launch and discover new innovations across the ecosystem. We're still at the beginning. The first major wave is only starting to build. 🌊 Secure your position before the tide changes. Whitepaper • Tokenomics • Presale Access: Link in Bio. 𝄃𝄂𝄀𝄁𝄃𝄂𝄂𝄃𝄃𝄃𝄂𝄀𝄁𝄃𝄂𝄂𝄃 ⛁ 모 ↺ #OceanusChain $OCS $ETH #DeFi

🟦 What's Oceanus Chain ( $OCS ) ? The future of decentralized intelligence isn't coming it’s being built right now. Step into the ecosystem. This is Oceanus Chain : empowering traders, builders, and the community through next-gen infrastructure. ⚡️ Here's what's happening beneath the surface: 🔹 Oceanus OS : A custom-built operating system layer designed to streamline the Web3 experience, merging intelligence, security, and next-gen usability into one seamless interface. 🔹 ORCA | Ocean Map Analysis: Explore the crypto market through a new lens. ORCA transforms token analysis into an intuitive Ocean Map experience, helping you discover what's happening beneath the surface. 🔹 OG Play & Earn: Our OG community can play daily and earn $OCS rewards, with daily rewards reaching values of up to $70. 🔹 Open Source: The Oceanus ecosystem is now fully open source on GitHub. 🔹 Staking: Secure the network, earn passive rewards, and compound your holdings. 🔹 Tokenomics: Built for the community. 60% allocated to the ecosystem pool and 40% available through the presale. 🔹 Oceanus Launcher: Be among the first to launch and discover new innovations across the ecosystem. We're still at the beginning. The first major wave is only starting to build. 🌊 Secure your position before the tide changes. Whitepaper • Tokenomics • Presale Access: Link in Bio. 𝄃𝄂𝄀𝄁𝄃𝄂𝄂𝄃𝄃𝄃𝄂𝄀𝄁𝄃𝄂𝄂𝄃 ⛁ 모 ↺ #OceanusChain $OCS $ETH #DeFi

Oceanus Chain

29,185 次观看 • 1 个月前

Increasingly, HTML Artifacts are becoming a core part of how I work with AI agents. Long-horizon agent sessions need a better way to surface insights about what work it has done. This may not be obvious right now, but as you start to let your agent work on dynamic workflows, large codebases, long-running loops (e.g., using /goal), and deep research tasks, you need a good way to present results. Chat window is not it. You also don't want to just trust everything the agents do. Artifacts help provide an important verification layer, which in turn enables important decision-making. I like HTML artifacts because I can just ask the agent to produce as many of them (and in whatever form) as I need to verify the work and make sense out of everything. I even built a nice tab system for my artifacts. They are great for continual learning and research. I use HTML artifacts for logging, tracking experiments, brainstorming, managing my inbox, code reviews, agent session management, deep research, writing, reading, and so much more. I believe Andrej Karpathy wrote about this somewhere: As we move on to more advanced applications of AI agents and outputs get more complex, we will start to find the need for even more advanced forms of interactions with AI, including interactive neural videos/simulations.

Increasingly, HTML Artifacts are becoming a core part of how I work with AI agents. Long-horizon agent sessions need a better way to surface insights about what work it has done. This may not be obvious right now, but as you start to let your agent work on dynamic workflows, large codebases, long-running loops (e.g., using /goal), and deep research tasks, you need a good way to present results. Chat window is not it. You also don't want to just trust everything the agents do. Artifacts help provide an important verification layer, which in turn enables important decision-making. I like HTML artifacts because I can just ask the agent to produce as many of them (and in whatever form) as I need to verify the work and make sense out of everything. I even built a nice tab system for my artifacts. They are great for continual learning and research. I use HTML artifacts for logging, tracking experiments, brainstorming, managing my inbox, code reviews, agent session management, deep research, writing, reading, and so much more. I believe Andrej Karpathy wrote about this somewhere: As we move on to more advanced applications of AI agents and outputs get more complex, we will start to find the need for even more advanced forms of interactions with AI, including interactive neural videos/simulations.

elvis

37,127 次观看 • 4 个月前

Introducing fx, a tiny, open, native coding agent from Vercel Labs. Originally an internal tool, fx is a harness and CLI written in Zig, optimized for research and embedding in larger systems. Today, we're open sourcing it. fx is built on three principles: 1. Fast. A single native binary, no runtime to install. It cold starts in 10µs and does no unnecessary work or I/O before accepting input. fx is the answer to "how fast can a coding agent be?" 2. Light. The 6.3MiB binary uses single-digit megabytes of memory at baseline, made for instant installation and embedding in resource-constrained environments and agent sandboxes. 3. Open. Apache-2.0, model and provider agnostic, suitable for local and cloud inference. Its small core extends through skills, plugins, and MCP. Minimalism is an obsession throughout the entire harness: system prompt, tools, features, binary. The goal was to keep context usage and time to first token low, and make fx optimal for model benchmarking, sandboxing, evals, and gyms. You can use fx directly or embed it as infrastructure. The CLI feels more like a Unix shell than an IDE in the terminal: it preserves scroll history, produces minimal output, and uses complex TUI rendering very, very sparingly. Programmatically, 𝚏𝚡 𝚊𝚜𝚔 --𝚓𝚜𝚘𝚗 gives structured output, 𝚏𝚡 𝚊𝚌𝚙 connects to editors and other clients, and WebAssembly can even run the whole thing inside the browser (see: Privacy is a design constraint: no product telemetry, sessions and usage stay local, and no source code or prompts are shared with any endpoint other than inference. With local inference and auto-updates off, fx is fully hermetic. fx is experimental. Use at your own risk and expect frequent changes. Chat with us on X ( or file issues ( 𝚌𝚞𝚛𝚕 -𝚏𝚜𝚂𝙻 𝚏𝚡.𝚜𝚑/𝚜𝚎𝚝𝚞𝚙.𝚜𝚑 | 𝚋𝚊𝚜𝚑

Introducing fx, a tiny, open, native coding agent from Vercel Labs. Originally an internal tool, fx is a harness and CLI written in Zig, optimized for research and embedding in larger systems. Today, we're open sourcing it. fx is built on three principles: 1. Fast. A single native binary, no runtime to install. It cold starts in 10µs and does no unnecessary work or I/O before accepting input. fx is the answer to "how fast can a coding agent be?" 2. Light. The 6.3MiB binary uses single-digit megabytes of memory at baseline, made for instant installation and embedding in resource-constrained environments and agent sandboxes. 3. Open. Apache-2.0, model and provider agnostic, suitable for local and cloud inference. Its small core extends through skills, plugins, and MCP. Minimalism is an obsession throughout the entire harness: system prompt, tools, features, binary. The goal was to keep context usage and time to first token low, and make fx optimal for model benchmarking, sandboxing, evals, and gyms. You can use fx directly or embed it as infrastructure. The CLI feels more like a Unix shell than an IDE in the terminal: it preserves scroll history, produces minimal output, and uses complex TUI rendering very, very sparingly. Programmatically, 𝚏𝚡 𝚊𝚜𝚔 --𝚓𝚜𝚘𝚗 gives structured output, 𝚏𝚡 𝚊𝚌𝚙 connects to editors and other clients, and WebAssembly can even run the whole thing inside the browser (see: Privacy is a design constraint: no product telemetry, sessions and usage stay local, and no source code or prompts are shared with any endpoint other than inference. With local inference and auto-updates off, fx is fully hermetic. fx is experimental. Use at your own risk and expect frequent changes. Chat with us on X ( or file issues ( 𝚌𝚞𝚛𝚕 -𝚏𝚜𝚂𝙻 𝚏𝚡.𝚜𝚑/𝚜𝚎𝚝𝚞𝚙.𝚜𝚑 | 𝚋𝚊𝚜𝚑

Vercel Developers

963,432 次观看 • 1 个月前

What if your strategy could change direction when the market does? 👀 That’s what Trend Changer is built for. A regular futures strategy usually trades in one direction — long or short. Trend Changer keeps watching the market and reacts when the trend starts moving against your strategy. ✅ Switch between long and short automatically ✅ Reduce trades against the trend, stuck positions, and unnecessary averaging ✅ Choose how much control to give the bot: notification, next-trade switch, or immediate switch ✅ Keep monitoring the market 24/7 — even between trades You can even follow the bigger trend on a higher timeframe while keeping your usual entry timeframe. One strategy. Both market directions. Less manual trading. ⚡️ Try Trend Changer in GT APP — link in the comments 👇

What if your strategy could change direction when the market does? 👀 That’s what Trend Changer is built for. A regular futures strategy usually trades in one direction — long or short. Trend Changer keeps watching the market and reacts when the trend starts moving against your strategy. ✅ Switch between long and short automatically ✅ Reduce trades against the trend, stuck positions, and unnecessary averaging ✅ Choose how much control to give the bot: notification, next-trade switch, or immediate switch ✅ Keep monitoring the market 24/7 — even between trades You can even follow the bigger trend on a higher timeframe while keeping your usual entry timeframe. One strategy. Both market directions. Less manual trading. ⚡️ Try Trend Changer in GT APP — link in the comments 👇

GT Protocol

40,972 次观看 • 15 天前