AI-Powered
Trading Bot Cluster Execution
Network
Built on Google TimesFM prediction engine + 50,000+ AI agent debate system + dynamic execution engine — a complete AI trading organization.
Let AI Agents
Truly Become Trade Executors
TradingSkill is an AI trading execution network built specifically for C Chain's Dragon Agent ecosystem. Operating as a trading bot cluster, it provides every Lamodechat AI hardware holder with autonomous, self-evolving trading capabilities — from prediction to execution — continuously generating real returns.
INDUSTRY CRISIS
The Era of Manual Trading Is Ending
The crypto market runs 24/7 with extreme volatility driven by multi-dimensional factors. Traditional manual trading faces three insurmountable bottlenecks:
Physical Limits
Humans cannot watch markets 24/7, missing overnight and cross-timezone movements. No one can react to a 3 AM flash crash in time.
Emotional Interference
Fear and greed lead to chasing highs and panic selling. Unable to hold winners or cut losers, discipline is impossible to maintain.
Information Bottleneck
Individuals can only track 3-5 dimensions simultaneously, unable to cover on-chain data, social sentiment, fund flows, and technical analysis.
The deeper problem: Even with trading bots, most tools just "auto-place orders" and forget. But real trading experts know — opening a position is just the beginning; position management is the key to profit and loss.
CURRENT AI LIMITS
Most AI Trading Only Does Half the Job
The vast majority of AI trading products on the market are still at "first generation" level. They only solve "when to open a position" while completely ignoring "what to do after opening."
Fixed Strategy
Problem: Problem: Single model + fixed rules
Result: Result: Strategy fails when market shifts, severe drawdowns
Single Dimension
Problem: Problem: Relies only on technical indicators or a few single data sources
Result: Result: Ignores more comprehensive and precise indicator signals
No Verification
Problem: Problem: No adversarial mechanism, model output is final
Result: Result: Low-quality strategies cannot be identified and eliminated
Order & Forget
Problem: Problem: No tracking after signal
Result: Result: Profitable trades get stopped out by fixed stop-loss
“These systems only 'fire the shot' without 'continuous tracking after aiming'”
THREE ENGINES
Three-Engine Synergy Architecture
Prediction engine sees the future, decision engine makes judgments, execution engine manages trades — three engines working in synergy to form a complete AI trading loop.
Prediction Engine
See the Future
Based on Google TimesFM, performs multi-step price prediction, outputting probability distributions and confidence intervals. 200M parameter model, 100B time-point pre-training, zero-shot prediction.
Decision Engine
Make Judgments
Tens of thousands of AI agents fuse TimesFM predictions + multi-dimensional analysis, forming high-confidence strategies through debate mechanisms. 7 specialized AI roles each play their part.
Execution Engine
Manage Trades
AI continuous monitoring + TimesFM real-time prediction updates, dynamic rebalancing, smart take-profit/stop-loss, anomaly protection. Online from order to close.
"TradingSkill is essentially a complete trading organization composed of a Google-level prediction engine + tens of thousands of AI agents + a dynamic execution system."
CORE CAPABILITIES
Six Core Technical Capabilities
TradingSkill integrates cutting-edge AI and blockchain technology to build six differentiated core capabilities, covering the complete chain from strategy generation to execution management.
Click cards to expand details
Strategy Tokenization
Strategy Tokenization
AI strategies as NFTs — excellent strategies can be traded, leased, and combined on-chain, forming a strategy marketplace ecosystem.
High win-rate strategies produced by AI agents are automatically minted as on-chain NFT assets
Holders enjoy on-chain revenue sharing from live strategy returns, fully transparent and traceable
Strategy NFTs can be freely traded on secondary markets, forming a strategy value discovery mechanism
Smart contracts on C Chain automatically execute profit sharing, no trusted intermediary needed
Natural Language Strategy Building
No-Code Strategy
Describe trading ideas in natural language, AI automatically builds, backtests, and optimizes strategies — zero code required.
No programming needed — describe trading logic in natural language to generate professional strategies
AI automatically converts user intent into executable quantitative strategy parameters
Supports strategy backtesting — one-click deployment to live trading after confirmation
Built-in strategy template library covering trend following, mean reversion, grid trading, and more
Deep Backtesting System
Advanced Backtesting
Large-scale historical backtesting powered by C Chain computing, supporting 10+ years of multi-market data, simulating real slippage and fees.
Supports 10+ years of tick-level historical backtesting, covering major trading pairs
C Chain computing center provides parallel backtesting, completing millions of simulations in minutes
Multi-dimensional reports: win rate, P/L ratio, max drawdown, Sharpe ratio, etc.
Segmented backtesting across market conditions (bull/bear/sideways/black swan) to verify robustness
On-Chain Decision Transparency
On-Chain Transparency
Every AI decision step is traceable on-chain, 100% transparent and auditable, eliminating black-box operations.
Every AI decision node (analysis, debate, voting, execution) is recorded on-chain
Users can view the complete reasoning chain behind any AI trading decision at any time
C Chain's immutability ensures decision records are authentic and trustworthy
Supports third-party auditing, meeting institutional compliance requirements
Millisecond Execution Engine
Millisecond Execution
Hardware acceleration + ultra-low latency execution, <50ms end-to-end latency, ensuring optimal price execution.
Dedicated hardware acceleration engine, decision-to-execution latency < 50ms
C Chain computing centers deployed nearby to reduce network latency
Smart order routing system, automatically selecting optimal execution paths and exchanges
Supports high-frequency trading scenarios, processing thousands of orders per second
AI Risk-Tiered Strategies
Risk-Tier Strategy
5 risk preference levels for different users, from conservative to aggressive, AI automatically matches optimal strategy combinations.
Conservative: Low leverage, wide SL, for steady investors, target 15-30% annual
Steady: Medium-low leverage, balanced allocation, for long-term holders
Balanced: Dynamic leverage, offense and defense, for experienced traders
Aggressive: Higher leverage, active strategies, for high risk tolerance users
Pro Aggressive: High leverage, extreme strategies, for professional traders
From natural language strategy building to deep backtesting, from strategy tokenization to on-chain transparency — TradingSkill builds a complete AI trading technology closed loop.
"Not just using AI, but building an AI-native trading infrastructure."
PREDICTION ENGINE
Standing on Google's Shoulders
TradingSkill integrates Google Research's open-source TimesFM time series foundation model as its core prediction engine. This is one of the most advanced time series prediction models available.
TimesFM Architecture — Google Research
Benchmark Comparison — ICML 2024
Core Technical Parameters
Architecture
Same architecture as GPT
Parameters
Lightweight, efficient for real-time inference
Pre-training Data
Covers finance, retail, transportation and more
Context Window
Captures long-term trends
Prediction
Predict without fine-tuning
Output
Output probability distribution
Why TimesFM: Zero-shot performance approaches or exceeds specially trained SOTA models on multiple public benchmarks.
Three Roles of TimesFM in TradingSkill
Trend Prediction
Performs multi-step price prediction on target assets, outputting probability distributions of future trends, providing forward-looking basis for AI agents
Real-Time Updates
Updates price predictions every minute during holding, making dynamic TP/SL proactive rather than reactive
Probability Quantification
Outputs quantile predictions (10%~90%), precisely assessing extreme risk probability for more scientific risk control decisions
AI WORKFORCE
7 AI Roles, 7 Dimensions of Market Analysis
TradingSkill's AI agents are not homogeneous copies, but specialized roles each with their own expertise. 7 roles conduct multi-round cross-validation through the debate system.
Trend Prediction AI
Multi-step price prediction based on TimesFM, outputting probability distributions and confidence intervals
Fundamental Analyst
Interprets project data, on-chain metrics, TVL changes
Technical Analyst
Analyzes candlestick patterns, support/resistance, technical indicators
Sentiment Analyst
Monitors social media, news sentiment, fear & greed index
Momentum Detection AI
Tracks volume anomalies, capital inflows and outflows
Counterparty Analysis AI
Analyzes order book depth, whale positions, liquidation maps
Risk Control AI
Assesses volatility, correlation, extreme risk probability
AI Debate Mechanism
The 7 roles don't work in isolation — they form consensus through multi-round cross-validation. TimesFM predictions serve as "future reference lines" fed into the debate system — when trend prediction AI and technical analysts agree, consensus confidence increases significantly; when they conflict, deeper debate and evidence supplementation is triggered.
Output: A complete trading decision plan, including position direction, position intensity, precise entry points, take-profit logic, and stop-loss logic.
FULL LIFECYCLE
8-Step Full Lifecycle Management
A complete AI closed loop from opening to closing positions. Traditional AI only does the first 3 steps — TradingSkill is online from step 1 to step 8.
Market Scan
7 AI roles scan all dimensions, TimesFM outputs price predictions
Debate
Multi-round AI debate, TimesFM predictions as future reference
Strategy Output
Generate complete trading plan: direction, position, entry, TP/SL
Auto Execution
AI completes position building at optimal price range
Position Monitoring
AI continuous analysis + TimesFM updates predictions every minute
Dynamic Adjustment
Move stop-loss up based on latest predictions, trailing take-profit
Smart Exit
Batch take-profit when predicted trend weakens
Review & Learn
AI reviews and analyzes, optimizing the next decision model
Full-Process Closed Loop
STRATEGIC HARDWARE
Lamodechat Fashion Collectibles
Designed by a renowned LVMH designer team. Built-in Dragon AI Agent + TradingSkill trading capabilities.
An AI robot cat that keeps earning for you.
Embedding AI trading agents into physical cat hardware with IP recognition, merging compute nodes, strategy assistants, and collectible toys in one desktop experience.
Crown Cat
Elegant royal lineage, crowned with emerald gems
Crystal Bear
Crystal armor, street luxury pioneer
Cool Rabbit
Blue-light lenses, intellectual trendsetter
Project Vision
- Lamodechat is TradingSkill's AI smart hardware terminal — integrating trading compute, AI inference, and on-chain node in one device
- As C Chain's WorkFI infrastructure platform, Lamodechat makes every device part of the decentralized computing network
- Zero configuration needed — plug and play, automatically connecting to TradingSkill's AI trading execution network
Technology
- Built-in dedicated AI inference chip supporting local TimesFM model deployment for millisecond-level prediction response
- Integrated C Chain light node for real-time on-chain data sync, ensuring transparent and secure trade execution
- Hardware-accelerated multi-agent debate engine — 7 AI roles run parallel inference, reducing decision latency by 80%
- OTA remote upgrade support — continuously receiving the latest AI models and trading strategies
Revenue Model
- Trading Revenue: Lamodechat executes AI trading strategies 24/7, continuously generating trading profits
- Compute Mining: Idle computing power auto-contributes to C Chain network, earning $CCHAIN token rewards
- Node Revenue: Participate in consensus as a C Chain validator node, earning block rewards and transaction fee sharing
- Strategy Royalties: High win-rate strategy NFTs produced by the device can be traded on the market, generating royalty income
Compute & WorkFI
- WorkFI = Work + DeFi: A new paradigm of earning financial returns by contributing real computing work
- Computing power from each Lamodechat directly serves AI trading inference — not idle mining, but real value creation
- More compute contribution → stronger network trading capability → higher ecosystem returns → positive flywheel effect
- Will become C Chain's largest decentralized computing infrastructure, supporting trillion-level trading volume
Lamodechat Pre-sale Coming Soon
ABOUT US
About TradingSkill
TradingSkill was born from a simple belief: The future of trading belongs not to humans, but to AI networks. We've assembled the world's top AI researchers, quant trading experts, and blockchain engineers.
Mission
Empower every trader with institutional-grade AI trading capabilities, eliminate information asymmetry, and enable fair market participation.
Vision
Build the world's largest decentralized AI trading execution network, making AI the true trade executor, not just a signal tool.
Values
Transparency, data-driven, continuous evolution. We believe AI should not be a black box — every decision must be traceable and verifiable.
We're not building a trading tool — we're building a trading organization composed of tens of thousands of AI agents. Each agent has its own specialization, and through debate, game theory, and collaboration, they form trading decisions superior to any individual.
OUR TEAM
Cross-Domain Elite Team
TradingSkill's core competitiveness comes from our team — 45+ core members in total, building the next-generation AI trading infrastructure together.
AI & Quant Team
15+Core members from Google, Meta, Jump Trading and other top institutions, specializing in time series prediction and reinforcement learning.
Blockchain Infra Team
10+C Chain core developers with full-stack L1/L2 experience, ensuring on-chain trading security and efficiency.
Trading Strategy Team
8+Members average 8+ years of crypto and traditional finance trading experience, covering CTA, arbitrage, market making and more.
Product & Engineering
12+Tech leads from ByteDance, Alibaba and other top internet companies, responsible for platform architecture and user experience.
ROADMAP
Development Roadmap
From proof of concept to global deployment, TradingSkill is turning the future of AI trading into reality, step by step.
TradingSkill core team assembled
C Chain testnet live, AI prototype completed
TimesFM engine integrated, multi-agent debate system launched
Extensive live testing, 3,000,000+ live trades executed
TradingSkill AI trading system opened to public
TradingSkill launches AI cluster hardware agent, opens AI trading custody to market, and obtains compliance license.
Support more futures, forex AI trading, API open, institutional user access
Global deployment, multi-exchange multi-currency coverage
TradingSkill ecosystem fully upgraded, DAO governance launched
Trading Partners
Connected to Top Exchanges & Blockchains
Exchanges
Blockchains
Frequently Asked Questions
Everything you need to know about TradingSkill AI trading execution network