2 indicators in pine script. Need to create a strategy for Trading View with webhook sending to the exchange.

Development of a Telegram Mini App (Bot + WebApp) for selling digital goods and in-game currencies (Python / aiogram) Project description: A Telegram bot with a full WebApp interface is required for the automated sale of digital goods (Telegram Stars, Telegram Premium, in-game currencies/donations for PUBG Mobile, Steam, etc.). The project is called Aspect App. The main focus is on speed, smooth UI/UX in a Web3/minimalist style, and complete automation of product delivery after payment. Technology stack: Backend: Python 3.10+, aiogram 3.x (FastAPI for Webhook/API is welcome). Database: PostgreSQL / Redis (for sessions and caching). Frontend (WebApp): React.js / Vue.js / Next.js (at the developer's discretion, speed and smoothness of animations are important). Integrations: Telegram WebApp API. Main functionality (MVP): 1. Client side (Telegram Mini App): Main screen: Product categories (Telegram Assets, In-game Donations). Banner grid for promotions. Product catalog: Product cards with volume selection (e.g., 50, 100, 500 Telegram Stars or UC). Fields for entering player data (Player ID for PUBG). Cart and Checkout: Quick purchase in 2 clicks. Payment module: Integration of payment methods (CryptoBot API / TON Connect / other fiat gateways by agreement). Personal account: Order history, status tracking, referral system (balance within the app). 2. Admin panel (built into WebApp or separate bot): Catalog management (adding/removing products, changing prices). Order monitoring and sales statistics. User database mailing system. 3. Automation logic (A plus): Readiness of the architecture for integration with supplier APIs (API for auto-purchasing Stars/UC). At the MVP stage, some products may be issued with codes from the database. What is required from the contractor: 1. Development of the database and backend architecture in Python. 2. Layout and integration of WebApp (design mockup to be discussed, clean Web3 style, Glassmorphism is important). 3. Setting up secure transactions and payment webhooks. 4. Deployment on the server (Docker, Ubuntu, SSL setup). Candidate requirements: Experience in commercial development of Telegram WebApps for at least 1 year. Portfolio with launched and working Mini Apps (please provide links in your response). Clean, documented code. Working conditions: Work only through the Secure Deal (Safe / Escrow) of the platform. Payment is staged (the project is divided into Sprint 1: Backend + DB, Sprint 2: Frontend WebApp, Sprint 3: Payment integration and testing). Budget: To be discussed with the successful candidate (please indicate your price range and timelines in your response)

Looking for a streamer, ideally with subscribers on Twitch; the more subscribers, the better. We need to promote the website so that as many people as possible learn about it.

We are looking for a specialist in Solana security programs to conduct an audit of the smart contract before deployment on the mainnet. Contract stack: Rust + Anchor framework SPL Token (transfer/storage of tokens in PDA) Mechanics: timing rounds, escrow of bets, resolver of final price, calculation and distribution of payouts, claim instructions, emergency pause + refund, fee configuration through admin authority Check for common vulnerabilities in Solana/Anchor: missing ownership/signer checks, account validation, integer overflow, PDA seeds collisions, reentrancy patterns, authority key privileges Analysis of payout distribution logic (rounding, edge cases with multiple participants) Verification of emergency mechanisms (pause, refund) — whether they can be bypassed or abused Report with classification of findings by criticality (Critical/High/Medium/Low) and recommendations Re-check after fixes (re-audit fixes) Requirements for the performer: Proven experience in auditing or developing Solana programs (Rust/Anchor) — please provide links to GitHub, previous audits, or examples of found vulnerabilities Understanding of SPL Token and PDA-escrow patterns Experience with static analysis tools (Soteria, Sec3, cargo-audit) will be a plus In your response, please indicate: Experience specifically with Solana (not EVM) — specific projects Estimated cost and timeline for a contract of this scope Report format (example, if available)

What we are calculating in the project: Realized PnL, ROI, and Win Rate for cryptocurrency wallets - how profitable the wallet traded a certain token over the selected period. Based on what data: the history of on-chain transactions of the wallet (swaps, token transfers) + the market price of the token at the time of each transaction. The main data source is Moralis: two calls during the initial loading of the wallet - native ETH transfers and all ERC-20 token transfers. What we are comparing with: Nansen.io - we take it as a benchmark, comparing our calculated metrics with what Nansen shows for the same wallets over the same period. Problem: our figures significantly differ from Nansen, and we do not fully understand the rules by which some actions of the wallet should be classified for PnL purposes. We need to fix the calculation of Realized PnL, ROI, and Win Rate to match Nansen. In your application, please write: - experience with similar tasks - experience with Nansen - experience with Moralis - experience with DeFiLlama - experience with articles on crypto transactions - approximate cost and timeline for the fix

It is important to start - TODAY I need a person who has experience in writing trading bots on DEXs (needed on the BSC network) with an understanding of transaction costs, gas, etc. I want to test several trading strategies on a real trading agent I need to quickly develop an autonomous trading agent that uses the Trust Wallet and CoinMarketCap APIs to execute trades on the BNB Chain (BSC) based on 3–5 embedded strategies. Technology stack (mandatory) - Trust Wallet Agent Kit (TWAK) — for self-custodial signing and executing transactions (https://portal.trustwallet.com) - CoinMarketCap AI Agent Hub — for obtaining market data and signals (https://coinmarketcap.com/api/agent) - BNB AI Agent SDK — for quick integration (https://github.com/bnb-chain/bnbagent-sdk) Functional requirements Data (CMC AI Agent Hub) - Data retrieval via MCP or x402 (https://coinmarketcap.com/api/agent) - Use of ready-made Skills for RSI, MACD, Fear & Greed, volumes Execution (Trust Wallet Agent Kit) - Local signing of transactions — keys remain with the user (https://portal.trustwallet.com) - Autonomous mode: the agent signs and sends trades by itself - Limitations: drawdown, daily limit, stop-loss, token whitelist - Use of x402 for payment of data/computations Strategies - Implement 3–5 described strategies with the ability to switch between them - Examples: combination of funding rates + Fear & Greed, DCA based on sentiments with filters Technical requirements - Language: Python (preferred) or TypeScript/JavaScript - Tools: TWAK CLI, CMC CLI, BNB AI Agent SDK Who can take this on?