Search Results for "model-builder"

Qtum is a decentralized blockchain project built on Bitcoin's UTXO model, with support for Ethereum Virtual Machine-based smart contracts, and secured by a proof of stake consensus model. It achieves this through the revolutionary Account Abstraction Layer which allows the EVM to communicate with Qtum's Bitcoin-like UTXO blockchain. Welcome to the Qtum Ignition Main Network. This is the main network where the tokens hold value and should be guarded very carefully.

...It also includes built-in support for evaluation, logging, and orchestration so developers can monitor, test, and improve agent behavior over time. Because it’s framework-agnostic with respect to model providers, Jesse can work with different LLM backends, giving teams flexibility in cost and capability trade-offs.

PowerTrader_AI is a fully open-source, automated cryptocurrency trading bot that combines a custom price prediction AI with a structured and tiered dollar-cost averaging (DCA) strategy to make real trading decisions on behalf of users. It continuously analyzes market data to forecast high and low price levels across multiple timeframes, using those predictions to determine when to open, scale into, or close positions automatically, which aims to take emotion out of trading and enforce...

Nothing Ever Happens is an experimental open-source trading bot designed for the Polymarket platform that implements a deliberately simple and unconventional strategy: automatically buying “No” positions across non-sports binary prediction markets. The project is built in Python using asynchronous architecture, allowing it to monitor markets, evaluate opportunities, and execute trades continuously with minimal latency. Its core concept is based on statistical observations that a majority of...

...Key features include continuous automated trading, lightning-fast execution to capture fleeting price differences, and the ability to monitor multiple DEXs simultaneously. The bot operates on a profit-sharing model: a fee is only charged when an arbitrage transaction is successful (after the Jito tip). A demo account is available to demonstrate the bot's functionality and performance. Explore the world of automated Solana arbitrage trading with SolanaMevBot.

PIVX (Protected Instant Verified Transaction) is a privacy-focused cryptocurrency that emphasizes secure and anonymous transactions. Built upon the Bitcoin Core codebase, PIVX integrates advanced privacy protocols to ensure user confidentiality. It aims to provide fast, low-cost transactions while maintaining a high level of security and decentralization.​

...Blankly is the first framework to enable developers to backtest, paper trade, and go live across exchanges without modifying a single line of trading logic on stocks, crypto, and forex. Every model needs to figure out how to buy and sell. We make it super easy for you so you can focus on building better trading algos. Your models can run on any platform, and on any supported exchange. We make that as easy as just changing one line of code.

LibertyOS is the first Blockchain Operating System. Heavily focused on user privacy, security, speed, stability and accessibility, LibertyOS combines a novel token model with a blockchain-centric advertising platform to radically transform user experiences. Users get smoother, faster, cleaner, secure, data-safe systems, and can earn cash by opting in to pre-screened, anonymous, non-intrusive ads. Advertisers, publishers receive better ad reporting and increased revenue shares. Built by highly skilled researchers and industry experts, LibertyOS presents the way forward for everyone interested in privacy and security on the open web.

Abu Quantitative Integrated AI Big Data System, K-Line Pattern System, Classic Indicator System, Trend Analysis System, Time Series Dimension System, Statistical Probability System, and Traditional Moving Average System conduct in-depth quantitative analysis of investment varieties, completely crossing the user's complex code quantification stage, more suitable for ordinary people to use, towards the era of vectorization 2.0. The above system combines hundreds of seed quantitative models, such as financial time series loss model, deep pattern quality assessment model, long and short pattern combination evaluation model, long pattern stop-loss strategy model, short pattern covering strategy model, big data K-line pattern Historical portfolio fitting model, trading position mentality model, dopamine quantification model, inertial residual resistance support model, long-short swap revenge probability model, strong and weak confrontation model, trend angle change rate model, etc.