Merge pull request '[Backend] AVE Cloud Integration - Data and Trading APIs' (#22) from fix/issue-11 into main

- Add tier field to User model for plan detection (free/normal/pro)
- Create AVE Cloud API client with all Data API endpoints:
  - Token search (GET /v2/tokens)
  - Batch prices (POST /v2/tokens/price)
  - Token details (GET /v2/tokens/{id})
  - Kline data (GET /v2/klines/token/{id})
  - Trending tokens (GET /v2/tokens/trending)
  - Token risk (GET /v2/contracts/{id})
- Add Trading API endpoints:
  - Chain wallet quote (POST /v1/chain/quote)
  - Chain wallet swap (POST /v1/chain/swap)
- Add tier gating with upsell messaging for Pro features
- Handle rate limiting gracefully with 429 responses
- Add Pydantic schemas for AVE API requests/responses

Fixes #11

src/backend/app/api/ave.py

@@ -0,0 +1,265 @@
+from fastapi import APIRouter, Depends, HTTPException, status, Request
+from sqlalchemy.orm import Session
+from typing import Annotated, Optional
+import httpx
+
+from .auth import get_current_user
+from ..core.database import get_db
+from ..core.config import get_settings
+from ..db.models import User
+from ..services.ave import AveCloudClient, check_tier_access
+from ..db.schemas import (
+    AveBatchPricesRequest,
+    AveKlinesRequest,
+    AveChainQuoteRequest,
+    AveChainSwapRequest,
+)
+
+router = APIRouter()
+
+
+def get_ave_client() -> AveCloudClient:
+    settings = get_settings()
+    return AveCloudClient(api_key=settings.AVE_API_KEY, plan=settings.AVE_API_PLAN)
+
+
+@router.get("/tokens")
+async def search_tokens(
+    query: Optional[str] = None,
+    chain: Optional[str] = None,
+    limit: int = 20,
+    current_user: User = Depends(get_current_user),
+):
+    client = get_ave_client()
+    try:
+        tokens = await client.get_tokens(query=query, chain=chain, limit=limit)
+        return {"tokens": tokens}
+    except httpx.HTTPStatusError as e:
+        if e.response.status_code == 429:
+            raise HTTPException(
+                status_code=status.HTTP_429_TOO_MANY_REQUESTS,
+                detail="Rate limit exceeded. Please try again later.",
+            )
+        raise HTTPException(
+            status_code=e.response.status_code,
+            detail=f"AVE API error: {e.response.text}",
+        )
+    except Exception as e:
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail=f"Failed to fetch tokens: {str(e)}",
+        )
+
+
+@router.post("/tokens/price")
+async def get_batch_prices(
+    request: AveBatchPricesRequest,
+    current_user: User = Depends(get_current_user),
+):
+    client = get_ave_client()
+    try:
+        prices = await client.get_batch_prices(request.token_ids)
+        return {"prices": prices}
+    except httpx.HTTPStatusError as e:
+        if e.response.status_code == 429:
+            raise HTTPException(
+                status_code=status.HTTP_429_TOO_MANY_REQUESTS,
+                detail="Rate limit exceeded. Please try again later.",
+            )
+        raise HTTPException(
+            status_code=e.response.status_code,
+            detail=f"AVE API error: {e.response.text}",
+        )
+    except Exception as e:
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail=f"Failed to fetch batch prices: {str(e)}",
+        )
+
+
+@router.get("/tokens/{token_id}")
+async def get_token_details(
+    token_id: str,
+    current_user: User = Depends(get_current_user),
+):
+    client = get_ave_client()
+    try:
+        token = await client.get_token_details(token_id)
+        if token is None:
+            return {"token": None, "upsell_message": None}
+        return {"token": token}
+    except httpx.HTTPStatusError as e:
+        if e.response.status_code == 429:
+            raise HTTPException(
+                status_code=status.HTTP_429_TOO_MANY_REQUESTS,
+                detail="Rate limit exceeded. Please try again later.",
+            )
+        raise HTTPException(
+            status_code=e.response.status_code,
+            detail=f"AVE API error: {e.response.text}",
+        )
+    except Exception as e:
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail=f"Failed to fetch token details: {str(e)}",
+        )
+
+
+@router.get("/klines/{token_id}")
+async def get_klines(
+    token_id: str,
+    interval: str = "1h",
+    limit: int = 100,
+    start_time: Optional[int] = None,
+    end_time: Optional[int] = None,
+    current_user: User = Depends(get_current_user),
+):
+    client = get_ave_client()
+    try:
+        klines = await client.get_klines(
+            token_id=token_id,
+            interval=interval,
+            limit=limit,
+            start_time=start_time,
+            end_time=end_time,
+        )
+        return {"klines": klines}
+    except httpx.HTTPStatusError as e:
+        if e.response.status_code == 429:
+            raise HTTPException(
+                status_code=status.HTTP_429_TOO_MANY_REQUESTS,
+                detail="Rate limit exceeded. Please try again later.",
+            )
+        raise HTTPException(
+            status_code=e.response.status_code,
+            detail=f"AVE API error: {e.response.text}",
+        )
+    except Exception as e:
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail=f"Failed to fetch klines: {str(e)}",
+        )
+
+
+@router.get("/tokens/trending")
+async def get_trending_tokens(
+    chain: Optional[str] = None,
+    limit: int = 20,
+    current_user: User = Depends(get_current_user),
+):
+    client = get_ave_client()
+    try:
+        tokens = await client.get_trending_tokens(chain=chain, limit=limit)
+        return {"tokens": tokens}
+    except httpx.HTTPStatusError as e:
+        if e.response.status_code == 429:
+            raise HTTPException(
+                status_code=status.HTTP_429_TOO_MANY_REQUESTS,
+                detail="Rate limit exceeded. Please try again later.",
+            )
+        raise HTTPException(
+            status_code=e.response.status_code,
+            detail=f"AVE API error: {e.response.text}",
+        )
+    except Exception as e:
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail=f"Failed to fetch trending tokens: {str(e)}",
+        )
+
+
+@router.get("/contracts/{contract_id}")
+async def get_token_risk(
+    contract_id: str,
+    current_user: User = Depends(get_current_user),
+):
+    client = get_ave_client()
+    try:
+        risk = await client.get_token_risk(contract_id)
+        if risk is None:
+            return {"risk": None, "upsell_message": None}
+        return {"risk": risk}
+    except httpx.HTTPStatusError as e:
+        if e.response.status_code == 429:
+            raise HTTPException(
+                status_code=status.HTTP_429_TOO_MANY_REQUESTS,
+                detail="Rate limit exceeded. Please try again later.",
+            )
+        raise HTTPException(
+            status_code=e.response.status_code,
+            detail=f"AVE API error: {e.response.text}",
+        )
+    except Exception as e:
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail=f"Failed to fetch token risk: {str(e)}",
+        )
+
+
+@router.post("/chain/quote")
+async def get_chain_quote(
+    request: AveChainQuoteRequest,
+    current_user: User = Depends(get_current_user),
+):
+    client = get_ave_client()
+    try:
+        quote = await client.get_chain_quote(
+            chain=request.chain,
+            from_token=request.from_token,
+            to_token=request.to_token,
+            amount=request.amount,
+            slippage=request.slippage,
+        )
+        if quote is None:
+            return {"quote": None, "upsell_message": None}
+        return {"quote": quote}
+    except httpx.HTTPStatusError as e:
+        if e.response.status_code == 429:
+            raise HTTPException(
+                status_code=status.HTTP_429_TOO_MANY_REQUESTS,
+                detail="Rate limit exceeded. Please try again later.",
+            )
+        raise HTTPException(
+            status_code=e.response.status_code,
+            detail=f"AVE API error: {e.response.text}",
+        )
+    except Exception as e:
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail=f"Failed to fetch chain quote: {str(e)}",
+        )
+
+
+@router.post("/chain/swap")
+async def get_chain_swap(
+    request: AveChainSwapRequest,
+    current_user: User = Depends(get_current_user),
+):
+    client = get_ave_client()
+    try:
+        swap = await client.get_chain_swap(
+            chain=request.chain,
+            from_token=request.from_token,
+            to_token=request.to_token,
+            amount=request.amount,
+            slippage=request.slippage,
+            wallet_address=request.wallet_address,
+        )
+        if swap is None:
+            return {"swap": None, "upsell_message": None}
+        return {"swap": swap}
+    except httpx.HTTPStatusError as e:
+        if e.response.status_code == 429:
+            raise HTTPException(
+                status_code=status.HTTP_429_TOO_MANY_REQUESTS,
+                detail="Rate limit exceeded. Please try again later.",
+            )
+        raise HTTPException(
+            status_code=e.response.status_code,
+            detail=f"AVE API error: {e.response.text}",
+        )
+    except Exception as e:
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail=f"Failed to fetch chain swap: {str(e)}",
+        )

src/backend/app/api/backtest.py

@@ -1,36 +1,219 @@
-from fastapi import APIRouter, Depends, HTTPException, status
+import uuid
+import asyncio
+from datetime import datetime
+from fastapi import APIRouter, Depends, HTTPException, status, BackgroundTasks
 from sqlalchemy.orm import Session
-from typing import List
+from typing import List, Dict, Any, Optional
+from concurrent.futures import ThreadPoolExecutor
 
+from .auth import get_current_user
 from ..core.database import get_db
+from ..core.config import get_settings
 from ..db.schemas import BacktestCreate, BacktestResponse
+from ..db.models import Bot, Backtest, Signal, User
 
 router = APIRouter()
 
+running_backtests: Dict[str, Any] = {}
+executor = ThreadPoolExecutor(max_workers=4)
 
-@router.post("/bots/{bot_id}/backtest", response_model=BacktestResponse)
-def start_backtest(bot_id: str, config: BacktestCreate, db: Session = Depends(get_db)):
-    raise HTTPException(
-        status_code=status.HTTP_501_NOT_IMPLEMENTED, detail="Not implemented"
+
+def run_backtest_sync(
+    backtest_id: str, db_url: str, bot_id: str, config: Dict[str, Any]
+):
+    import asyncio
+    from ..services.backtest.engine import BacktestEngine
+    from ..core.database import SessionLocal
+
+    async def _run():
+        engine = BacktestEngine(config)
+        engine.run_id = backtest_id
+        running_backtests[backtest_id] = engine
+        try:
+            results = await engine.run()
+            db = SessionLocal()
+            try:
+                backtest = db.query(Backtest).filter(Backtest.id == backtest_id).first()
+                if backtest:
+                    backtest.status = engine.status
+                    backtest.ended_at = datetime.utcnow()
+                    backtest.result = results
+                    db.commit()
+
+                for signal in engine.signals:
+                    db_signal = Signal(
+                        id=signal["id"],
+                        bot_id=signal["bot_id"],
+                        run_id=signal["run_id"],
+                        signal_type=signal["signal_type"],
+                        token=signal["token"],
+                        price=signal["price"],
+                        confidence=signal.get("confidence"),
+                        reasoning=signal.get("reasoning"),
+                        executed=signal.get("executed", False),
+                        created_at=signal["created_at"],
                     )
+                    db.add(db_signal)
+                db.commit()
+            finally:
+                db.close()
+        finally:
+            if backtest_id in running_backtests:
+                del running_backtests[backtest_id]
+
+    asyncio.run(_run())
+
+
+@router.post(
+    "/bots/{bot_id}/backtest",
+    response_model=BacktestResponse,
+    status_code=status.HTTP_201_CREATED,
+)
+async def start_backtest(
+    bot_id: str,
+    config: BacktestCreate,
+    background_tasks: BackgroundTasks,
+    current_user: User = Depends(get_current_user),
+    db: Session = Depends(get_db),
+):
+    bot = db.query(Bot).filter(Bot.id == bot_id).first()
+    if not bot:
+        raise HTTPException(
+            status_code=status.HTTP_404_NOT_FOUND, detail="Bot not found"
+        )
+    if bot.user_id != current_user.id:
+        raise HTTPException(
+            status_code=status.HTTP_403_FORBIDDEN, detail="Not authorized"
+        )
+
+    settings = get_settings()
+    backtest_id = str(uuid.uuid4())
+
+    backtest_config = {
+        "bot_id": bot_id,
+        "token": config.token,
+        "chain": config.chain,
+        "timeframe": config.timeframe,
+        "start_date": config.start_date,
+        "end_date": config.end_date,
+        "strategy_config": bot.strategy_config,
+        "ave_api_key": settings.AVE_API_KEY,
+        "ave_api_plan": settings.AVE_API_PLAN,
+        "initial_balance": 10000.0,
+    }
+
+    backtest = Backtest(
+        id=backtest_id,
+        bot_id=bot_id,
+        started_at=datetime.utcnow(),
+        status="running",
+        config={
+            "token": config.token,
+            "chain": config.chain,
+            "timeframe": config.timeframe,
+            "start_date": config.start_date,
+            "end_date": config.end_date,
+        },
+    )
+    db.add(backtest)
+    db.commit()
+    db.refresh(backtest)
+
+    db_url = str(settings.DATABASE_URL)
+    background_tasks.add_task(
+        run_backtest_sync, backtest_id, db_url, bot_id, backtest_config
+    )
+
+    return backtest
 
 
 @router.get("/bots/{bot_id}/backtest/{run_id}", response_model=BacktestResponse)
-def get_backtest(bot_id: str, run_id: str, db: Session = Depends(get_db)):
+def get_backtest(
+    bot_id: str,
+    run_id: str,
+    current_user: User = Depends(get_current_user),
+    db: Session = Depends(get_db),
+):
+    bot = db.query(Bot).filter(Bot.id == bot_id).first()
+    if not bot:
         raise HTTPException(
-        status_code=status.HTTP_501_NOT_IMPLEMENTED, detail="Not implemented"
+            status_code=status.HTTP_404_NOT_FOUND, detail="Bot not found"
         )
+    if bot.user_id != current_user.id:
+        raise HTTPException(
+            status_code=status.HTTP_403_FORBIDDEN, detail="Not authorized"
+        )
+
+    backtest = (
+        db.query(Backtest)
+        .filter(Backtest.id == run_id, Backtest.bot_id == bot_id)
+        .first()
+    )
+    if not backtest:
+        raise HTTPException(
+            status_code=status.HTTP_404_NOT_FOUND, detail="Backtest not found"
+        )
+
+    return backtest
 
 
 @router.get("/bots/{bot_id}/backtests", response_model=List[BacktestResponse])
-def list_backtests(bot_id: str, db: Session = Depends(get_db)):
+def list_backtests(
+    bot_id: str,
+    current_user: User = Depends(get_current_user),
+    db: Session = Depends(get_db),
+):
+    bot = db.query(Bot).filter(Bot.id == bot_id).first()
+    if not bot:
         raise HTTPException(
-        status_code=status.HTTP_501_NOT_IMPLEMENTED, detail="Not implemented"
+            status_code=status.HTTP_404_NOT_FOUND, detail="Bot not found"
         )
+    if bot.user_id != current_user.id:
+        raise HTTPException(
+            status_code=status.HTTP_403_FORBIDDEN, detail="Not authorized"
+        )
+
+    backtests = (
+        db.query(Backtest)
+        .filter(Backtest.bot_id == bot_id)
+        .order_by(Backtest.started_at.desc())
+        .all()
+    )
+    return backtests
 
 
 @router.post("/bots/{bot_id}/backtest/{run_id}/stop")
-def stop_backtest(bot_id: str, run_id: str, db: Session = Depends(get_db)):
+def stop_backtest(
+    bot_id: str,
+    run_id: str,
+    current_user: User = Depends(get_current_user),
+    db: Session = Depends(get_db),
+):
+    bot = db.query(Bot).filter(Bot.id == bot_id).first()
+    if not bot:
         raise HTTPException(
-        status_code=status.HTTP_501_NOT_IMPLEMENTED, detail="Not implemented"
+            status_code=status.HTTP_404_NOT_FOUND, detail="Bot not found"
         )
+    if bot.user_id != current_user.id:
+        raise HTTPException(
+            status_code=status.HTTP_403_FORBIDDEN, detail="Not authorized"
+        )
+
+    backtest = (
+        db.query(Backtest)
+        .filter(Backtest.id == run_id, Backtest.bot_id == bot_id)
+        .first()
+    )
+    if not backtest:
+        raise HTTPException(
+            status_code=status.HTTP_404_NOT_FOUND, detail="Backtest not found"
+        )
+
+    if run_id in running_backtests:
+        engine = running_backtests[run_id]
+        asyncio.create_task(engine.stop())
+        backtest.status = "stopped"
+        backtest.ended_at = datetime.utcnow()
+        db.commit()
+
+    return {"status": "stopping", "run_id": run_id}

src/backend/app/api/bots.py

@@ -4,14 +4,18 @@ from typing import List, Annotated
 
 from .auth import get_current_user
 from ..core.database import get_db
+from ..core.config import get_settings
 from ..db.schemas import (
     BotCreate,
     BotUpdate,
     BotResponse,
     BotConversationCreate,
     BotConversationResponse,
+    BotChatRequest,
+    BotChatResponse,
 )
 from ..db.models import Bot, BotConversation, User
+from ..services.ai_agent.crew import get_trading_crew
 
 router = APIRouter()
 MAX_BOTS_PER_USER = 3
@@ -154,10 +158,10 @@ def delete_bot(
     db.commit()
 
 
-@router.post("/{bot_id}/chat", response_model=BotConversationResponse)
+@router.post("/{bot_id}/chat", response_model=BotChatResponse)
 def chat(
     bot_id: str,
-    message: BotConversationCreate,
+    request: BotChatRequest,
     current_user: Annotated[User, Depends(get_current_user)],
     db: Session = Depends(get_db),
 ):
@@ -173,15 +177,75 @@ def chat(
             detail="Not authorized to chat with this bot",
         )
 
+    conversation_history = (
+        db.query(BotConversation)
+        .filter(BotConversation.bot_id == bot_id)
+        .order_by(BotConversation.created_at)
+        .all()
+    )
+    history_for_crew = [
+        {"role": conv.role, "content": conv.content}
+        for conv in conversation_history[-10:]
+    ]
+
+    user_message = request.message
+    if request.strategy_config:
+        crew = get_trading_crew()
+        result = crew.chat(user_message, history_for_crew)
+
+        assistant_content = result.get("response", "I couldn't process your request.")
+        if result.get("success") and result.get("strategy_config"):
+            bot.strategy_config = result["strategy_config"]
+            db.commit()
+
         db_conversation = BotConversation(
             bot_id=bot_id,
-        role=message.role,
-        content=message.content,
+            role="user",
+            content=user_message,
         )
         db.add(db_conversation)
+
+        db_assistant = BotConversation(
+            bot_id=bot_id,
+            role="assistant",
+            content=assistant_content,
+        )
+        db.add(db_assistant)
         db.commit()
-    db.refresh(db_conversation)
-    return db_conversation
+        db.refresh(db_assistant)
+
+        return BotChatResponse(
+            response=assistant_content,
+            strategy_config=result.get("strategy_config"),
+            success=result.get("success", False),
+        )
+    else:
+        crew = get_trading_crew()
+        result = crew.chat(user_message, history_for_crew)
+
+        assistant_content = result.get("response", "I couldn't process your request.")
+
+        db_conversation = BotConversation(
+            bot_id=bot_id,
+            role="user",
+            content=user_message,
+        )
+        db.add(db_conversation)
+
+        db_assistant = BotConversation(
+            bot_id=bot_id,
+            role="assistant",
+            content=assistant_content,
+        )
+        db.add(db_assistant)
+        db.commit()
+        db.refresh(db_assistant)
+
+        return BotChatResponse(
+            response=assistant_content,
+            strategy_config=result.get("strategy_config"),
+            success=result.get("success", False),
+        )
 
 
 @router.get("/{bot_id}/history", response_model=List[BotConversationResponse])

src/backend/app/api/simulate.py

@@ -1,38 +1,233 @@
-from fastapi import APIRouter, Depends, HTTPException, status
+import uuid
+import asyncio
+from datetime import datetime
+from fastapi import APIRouter, Depends, HTTPException, status, BackgroundTasks
 from sqlalchemy.orm import Session
-from typing import List
+from typing import List, Dict, Any, Optional
+from concurrent.futures import ThreadPoolExecutor
 
+from .auth import get_current_user
 from ..core.database import get_db
+from ..core.config import get_settings
 from ..db.schemas import SimulationCreate, SimulationResponse
+from ..db.models import Bot, Simulation, Signal, User
 
 router = APIRouter()
 
+running_simulations: Dict[str, Any] = {}
+executor = ThreadPoolExecutor(max_workers=4)
 
-@router.post("/bots/{bot_id}/simulate", response_model=SimulationResponse)
-def start_simulation(
-    bot_id: str, config: SimulationCreate, db: Session = Depends(get_db)
+
+def run_simulation_sync(
+    simulation_id: str, db_url: str, bot_id: str, config: Dict[str, Any]
 ):
-    raise HTTPException(
-        status_code=status.HTTP_501_NOT_IMPLEMENTED, detail="Not implemented"
+    import asyncio
+    from ..services.simulate.engine import SimulateEngine
+    from ..core.database import SessionLocal
+
+    async def _run():
+        engine = SimulateEngine(config)
+        engine.run_id = simulation_id
+        running_simulations[simulation_id] = engine
+        try:
+            results = await engine.run()
+            db = SessionLocal()
+            try:
+                simulation = (
+                    db.query(Simulation).filter(Simulation.id == simulation_id).first()
                 )
+                if simulation:
+                    simulation.status = engine.status
+                    simulation.signals = engine.signals
+                    db.commit()
+
+                for signal in engine.signals:
+                    db_signal = Signal(
+                        id=signal["id"],
+                        bot_id=signal["bot_id"],
+                        run_id=signal["run_id"],
+                        signal_type=signal["signal_type"],
+                        token=signal["token"],
+                        price=signal["price"],
+                        confidence=signal.get("confidence"),
+                        reasoning=signal.get("reasoning"),
+                        executed=signal.get("executed", False),
+                        created_at=signal["created_at"],
+                    )
+                    db.add(db_signal)
+                db.commit()
+            finally:
+                db.close()
+        finally:
+            if simulation_id in running_simulations:
+                del running_simulations[simulation_id]
+
+    asyncio.run(_run())
+
+
+@router.post(
+    "/bots/{bot_id}/simulate",
+    response_model=SimulationResponse,
+    status_code=status.HTTP_201_CREATED,
+)
+async def start_simulation(
+    bot_id: str,
+    config: SimulationCreate,
+    background_tasks: BackgroundTasks,
+    current_user: User = Depends(get_current_user),
+    db: Session = Depends(get_db),
+):
+    bot = db.query(Bot).filter(Bot.id == bot_id).first()
+    if not bot:
+        raise HTTPException(
+            status_code=status.HTTP_404_NOT_FOUND, detail="Bot not found"
+        )
+    if bot.user_id != current_user.id:
+        raise HTTPException(
+            status_code=status.HTTP_403_FORBIDDEN, detail="Not authorized"
+        )
+
+    settings = get_settings()
+    simulation_id = str(uuid.uuid4())
+
+    check_interval = config.check_interval
+    if settings.AVE_API_PLAN != "pro" and check_interval < 60:
+        check_interval = 60
+
+    simulation_config = {
+        "bot_id": bot_id,
+        "token": config.token,
+        "chain": config.chain,
+        "duration_seconds": config.duration_seconds,
+        "check_interval": check_interval,
+        "auto_execute": config.auto_execute,
+        "strategy_config": bot.strategy_config,
+        "ave_api_key": settings.AVE_API_KEY,
+        "ave_api_plan": settings.AVE_API_PLAN,
+    }
+
+    simulation = Simulation(
+        id=simulation_id,
+        bot_id=bot_id,
+        started_at=datetime.utcnow(),
+        status="running",
+        config={
+            "token": config.token,
+            "chain": config.chain,
+            "duration_seconds": config.duration_seconds,
+            "check_interval": check_interval,
+            "auto_execute": config.auto_execute,
+        },
+        signals=[],
+    )
+    db.add(simulation)
+    db.commit()
+    db.refresh(simulation)
+
+    db_url = str(settings.DATABASE_URL)
+    background_tasks.add_task(
+        run_simulation_sync, simulation_id, db_url, bot_id, simulation_config
+    )
+
+    return simulation
 
 
 @router.get("/bots/{bot_id}/simulate/{run_id}", response_model=SimulationResponse)
-def get_simulation(bot_id: str, run_id: str, db: Session = Depends(get_db)):
+def get_simulation(
+    bot_id: str,
+    run_id: str,
+    current_user: User = Depends(get_current_user),
+    db: Session = Depends(get_db),
+):
+    bot = db.query(Bot).filter(Bot.id == bot_id).first()
+    if not bot:
         raise HTTPException(
-        status_code=status.HTTP_501_NOT_IMPLEMENTED, detail="Not implemented"
+            status_code=status.HTTP_404_NOT_FOUND, detail="Bot not found"
         )
+    if bot.user_id != current_user.id:
+        raise HTTPException(
+            status_code=status.HTTP_403_FORBIDDEN, detail="Not authorized"
+        )
+
+    simulation = (
+        db.query(Simulation)
+        .filter(Simulation.id == run_id, Simulation.bot_id == bot_id)
+        .first()
+    )
+    if not simulation:
+        raise HTTPException(
+            status_code=status.HTTP_404_NOT_FOUND, detail="Simulation not found"
+        )
+
+    if run_id in running_simulations:
+        engine = running_simulations[run_id]
+        simulation.signals = engine.get_signals()
+
+    return simulation
 
 
 @router.get("/bots/{bot_id}/simulations", response_model=List[SimulationResponse])
-def list_simulations(bot_id: str, db: Session = Depends(get_db)):
+def list_simulations(
+    bot_id: str,
+    current_user: User = Depends(get_current_user),
+    db: Session = Depends(get_db),
+):
+    bot = db.query(Bot).filter(Bot.id == bot_id).first()
+    if not bot:
         raise HTTPException(
-        status_code=status.HTTP_501_NOT_IMPLEMENTED, detail="Not implemented"
+            status_code=status.HTTP_404_NOT_FOUND, detail="Bot not found"
         )
+    if bot.user_id != current_user.id:
+        raise HTTPException(
+            status_code=status.HTTP_403_FORBIDDEN, detail="Not authorized"
+        )
+
+    simulations = (
+        db.query(Simulation)
+        .filter(Simulation.bot_id == bot_id)
+        .order_by(Simulation.started_at.desc())
+        .all()
+    )
+
+    for sim in simulations:
+        if sim.id in running_simulations:
+            engine = running_simulations[sim.id]
+            sim.signals = engine.get_signals()
+
+    return simulations
 
 
 @router.post("/bots/{bot_id}/simulate/{run_id}/stop")
-def stop_simulation(bot_id: str, run_id: str, db: Session = Depends(get_db)):
+def stop_simulation(
+    bot_id: str,
+    run_id: str,
+    current_user: User = Depends(get_current_user),
+    db: Session = Depends(get_db),
+):
+    bot = db.query(Bot).filter(Bot.id == bot_id).first()
+    if not bot:
         raise HTTPException(
-        status_code=status.HTTP_501_NOT_IMPLEMENTED, detail="Not implemented"
+            status_code=status.HTTP_404_NOT_FOUND, detail="Bot not found"
         )
+    if bot.user_id != current_user.id:
+        raise HTTPException(
+            status_code=status.HTTP_403_FORBIDDEN, detail="Not authorized"
+        )
+
+    simulation = (
+        db.query(Simulation)
+        .filter(Simulation.id == run_id, Simulation.bot_id == bot_id)
+        .first()
+    )
+    if not simulation:
+        raise HTTPException(
+            status_code=status.HTTP_404_NOT_FOUND, detail="Simulation not found"
+        )
+
+    if run_id in running_simulations:
+        engine = running_simulations[run_id]
+        asyncio.create_task(engine.stop())
+        simulation.status = "stopped"
+        db.commit()
+
+    return {"status": "stopping", "run_id": run_id}

src/backend/app/db/models.py

@@ -25,6 +25,7 @@ class User(Base):
     id = Column(String, primary_key=True, default=generate_uuid)
     email = Column(String, unique=True, nullable=False)
     password_hash = Column(String, nullable=False)
+    tier = Column(String, default="free")
     created_at = Column(DateTime, default=datetime.utcnow)
     updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
 

src/backend/app/db/schemas.py

@@ -87,6 +87,7 @@ class SimulationCreate(BaseModel):
     token: str
     chain: str
     duration_seconds: int = 3600
+    check_interval: int = 60
     auto_execute: bool = False
 
 
@@ -118,6 +119,17 @@ class BotConversationResponse(BaseModel):
         from_attributes = True
 
 
+class BotChatRequest(BaseModel):
+    message: str
+    strategy_config: Optional[bool] = False
+
+
+class BotChatResponse(BaseModel):
+    response: str
+    strategy_config: Optional[dict] = None
+    success: bool = False
+
+
 class SignalResponse(BaseModel):
     id: str
     bot_id: str
@@ -132,3 +144,72 @@ class SignalResponse(BaseModel):
 
     class Config:
         from_attributes = True
+
+
+class AveTokenSearchResponse(BaseModel):
+    tokens: List[dict]
+    upsell_message: Optional[str] = None
+
+
+class AveBatchPricesRequest(BaseModel):
+    token_ids: List[str]
+
+
+class AveBatchPricesResponse(BaseModel):
+    prices: Dict[str, dict]
+    upsell_message: Optional[str] = None
+
+
+class AveTokenDetailsResponse(BaseModel):
+    token: Optional[dict] = None
+    upsell_message: Optional[str] = None
+
+
+class AveKlinesRequest(BaseModel):
+    token_id: str
+    interval: str = "1h"
+    limit: int = 100
+    start_time: Optional[int] = None
+    end_time: Optional[int] = None
+
+
+class AveKlinesResponse(BaseModel):
+    klines: List[dict]
+    upsell_message: Optional[str] = None
+
+
+class AveTrendingTokensResponse(BaseModel):
+    tokens: List[dict]
+    upsell_message: Optional[str] = None
+
+
+class AveTokenRiskResponse(BaseModel):
+    risk: Optional[dict] = None
+    upsell_message: Optional[str] = None
+
+
+class AveChainQuoteRequest(BaseModel):
+    chain: str
+    from_token: str
+    to_token: str
+    amount: str
+    slippage: float = 0.5
+
+
+class AveChainQuoteResponse(BaseModel):
+    quote: Optional[dict] = None
+    upsell_message: Optional[str] = None
+
+
+class AveChainSwapRequest(BaseModel):
+    chain: str
+    from_token: str
+    to_token: str
+    amount: str
+    slippage: float = 0.5
+    wallet_address: Optional[str] = None
+
+
+class AveChainSwapResponse(BaseModel):
+    swap: Optional[dict] = None
+    upsell_message: Optional[str] = None

src/backend/app/main.py

@@ -2,7 +2,7 @@ from fastapi import FastAPI
 from fastapi.middleware.cors import CORSMiddleware
 from slowapi import Limiter
 from slowapi.util import get_remote_address
-from .api import auth, bots, backtest, simulate, config
+from .api import auth, bots, backtest, simulate, config, ave
 from .core.limiter import limiter
 
 app = FastAPI(
@@ -26,6 +26,7 @@ app.include_router(bots.router, prefix="/api/bots", tags=["bots"])
 app.include_router(backtest.router, prefix="/api", tags=["backtest"])
 app.include_router(simulate.router, prefix="/api", tags=["simulate"])
 app.include_router(config.router, prefix="/api/config", tags=["config"])
+app.include_router(ave.router, prefix="/api/ave", tags=["ave"])
 
 
 @app.get("/")

src/backend/app/services/ai_agent/crew.py

@@ -1,15 +1,247 @@
-from typing import List, Optional
+from typing import List, Optional, Dict, Any
+from crewai import Agent, Task, Crew
+from .llm_connector import MiniMaxConnector, MiniMaxLLM
+from ..core.config import get_settings
 
 
-class CrewAgent:
-    def __init__(self, role: str, goal: str, backstory: str):
-        self.role = role
-        self.goal = goal
-        self.backstory = backstory
+class StrategyValidator:
+    SUPPORTED_CONDITIONS = ["price_drop", "price_rise", "volume_spike", "price_level"]
+    SUPPORTED_ACTIONS = ["buy", "sell", "notify"]
 
-    def execute_task(self, task: str) -> str:
-        raise NotImplementedError("CrewAI agent not yet implemented")
+    def validate(self, strategy_config: dict) -> tuple[bool, list[str]]:
+        errors = []
+
+        if "conditions" not in strategy_config:
+            errors.append("Missing 'conditions' in strategy config")
+            return False, errors
+
+        if not isinstance(strategy_config["conditions"], list):
+            errors.append("'conditions' must be a list")
+            return False, errors
+
+        if len(strategy_config["conditions"]) == 0:
+            errors.append("At least one condition is required")
+            return False, errors
+
+        for i, condition in enumerate(strategy_config["conditions"]):
+            if "type" not in condition:
+                errors.append(f"Condition {i}: missing 'type'")
+                continue
+
+            cond_type = condition.get("type")
+            if cond_type not in self.SUPPORTED_CONDITIONS:
+                errors.append(f"Condition {i}: unsupported type '{cond_type}'")
+                continue
+
+            params = condition.get("params", {})
+            if cond_type in ["price_drop", "price_rise", "volume_spike"]:
+                if "token" not in params:
+                    errors.append(f"Condition {i}: missing 'token'")
+                if "threshold_percent" not in params:
+                    errors.append(f"Condition {i}: missing 'threshold_percent'")
+                elif not isinstance(params["threshold_percent"], (int, float)):
+                    errors.append(
+                        f"Condition {i}: 'threshold_percent' must be a number"
+                    )
+                elif params["threshold_percent"] <= 0:
+                    errors.append(
+                        f"Condition {i}: 'threshold_percent' must be positive"
+                    )
+
+            elif cond_type == "price_level":
+                if "token" not in params:
+                    errors.append(f"Condition {i}: missing 'token'")
+                if "price" not in params:
+                    errors.append(f"Condition {i}: missing 'price'")
+                if "direction" not in params:
+                    errors.append(f"Condition {i}: missing 'direction'")
+                elif params["direction"] not in ["above", "below"]:
+                    errors.append(
+                        f"Condition {i}: direction must be 'above' or 'below'"
+                    )
+
+        if "actions" in strategy_config:
+            if not isinstance(strategy_config["actions"], list):
+                errors.append("'actions' must be a list")
+            else:
+                for i, action in enumerate(strategy_config["actions"]):
+                    if "type" not in action:
+                        errors.append(f"Action {i}: missing 'type'")
+                    elif action["type"] not in self.SUPPORTED_ACTIONS:
+                        errors.append(
+                            f"Action {i}: unsupported type '{action['type']}'"
+                        )
+
+        return len(errors) == 0, errors
 
 
-def get_trading_crew():
-    raise NotImplementedError("Trading crew not yet implemented")
+class StrategyExplainer:
+    def explain(self, strategy_config: dict) -> str:
+        explanations = []
+
+        if "conditions" in strategy_config:
+            cond_list = strategy_config["conditions"]
+            if cond_list:
+                explanations.append("This strategy will trigger when:")
+                for cond in cond_list:
+                    cond_type = cond.get("type")
+                    params = cond.get("params", {})
+                    token = params.get("token", "the token")
+
+                    if cond_type == "price_drop":
+                        pct = params.get("threshold_percent", 0)
+                        explanations.append(f"  - {token} price drops by {pct}%")
+                    elif cond_type == "price_rise":
+                        pct = params.get("threshold_percent", 0)
+                        explanations.append(f"  - {token} price rises by {pct}%")
+                    elif cond_type == "volume_spike":
+                        pct = params.get("threshold_percent", 0)
+                        explanations.append(
+                            f"  - {token} trading volume increases by {pct}%"
+                        )
+                    elif cond_type == "price_level":
+                        price = params.get("price", 0)
+                        direction = params.get("direction", "unknown")
+                        explanations.append(
+                            f"  - {token} price crosses {direction} ${price}"
+                        )
+
+        if "actions" in strategy_config:
+            actions = strategy_config.get("actions", [])
+            if actions:
+                explanations.append("\nWhen triggered, the strategy will:")
+                for action in actions:
+                    action_type = action.get("type")
+                    if action_type == "buy":
+                        explanations.append("  - Buy the token")
+                    elif action_type == "sell":
+                        explanations.append("  - Sell the token")
+                    elif action_type == "notify":
+                        explanations.append("  - Send a notification")
+
+        if not explanations:
+            explanations.append("Strategy configuration is empty or invalid.")
+
+        return "\n".join(explanations)
+
+
+def create_trading_designer_agent(
+    api_key: str, model: str = "MiniMax-Text-01"
+) -> Agent:
+    connector = MiniMaxConnector(api_key=api_key, model=model)
+
+    system_prompt = """You are a Trading Strategy Designer AI. Your role is to parse user requests 
+    for trading strategies into structured JSON configuration.
+
+    Supported conditions (MVP):
+    - price_drop: Triggers when a token's price drops by a specified percentage
+    - price_rise: Triggers when a token's price rises by a specified percentage
+    - volume_spike: Triggers when trading volume increases by a specified percentage
+    - price_level: Triggers when price crosses above or below a specified level
+
+    Always ask clarifying questions if the user's request is ambiguous.
+    Output strategy_config in valid JSON format only when you have all required information.
+    """
+
+    return Agent(
+        role="Trading Strategy Designer",
+        goal="Convert natural language trading requests into precise strategy configurations",
+        backstory=system_prompt,
+        llm=MiniMaxLLM(api_key=api_key, model=model),
+        verbose=True,
+    )
+
+
+def create_strategy_validator_agent(
+    api_key: str, model: str = "MiniMax-Text-01"
+) -> Agent:
+    return Agent(
+        role="Strategy Validator",
+        goal="Validate trading strategy configurations for feasibility and identify potential issues",
+        backstory="""You are a meticulous strategy validator with expertise in trading systems.
+        You check that all required parameters are present, values are reasonable, and the 
+        strategy makes logical sense. You never approve strategies with missing or invalid data.""",
+        llm=MiniMaxLLM(api_key=api_key, model=model),
+        verbose=True,
+    )
+
+
+def create_strategy_explainer_agent(
+    api_key: str, model: str = "MiniMax-Text-01"
+) -> Agent:
+    return Agent(
+        role="Strategy Explainer",
+        goal="Generate clear, user-friendly explanations of trading strategies",
+        backstory="""You are a patient trading strategy explainer. You translate complex 
+        strategy configurations into easy-to-understand language. You help users understand 
+        exactly what their strategies will do when triggered.""",
+        llm=MiniMaxLLM(api_key=api_key, model=model),
+        verbose=True,
+    )
+
+
+class TradingCrew:
+    def __init__(self, api_key: str, model: str = "MiniMax-Text-01"):
+        self.api_key = api_key
+        self.model = model
+        self.validator = StrategyValidator()
+        self.explainer = StrategyExplainer()
+        self.connector = MiniMaxConnector(api_key=api_key, model=model)
+
+    def parse_strategy(
+        self, user_message: str, conversation_history: list[dict] = None
+    ) -> dict:
+        strategy_config = self.connector.parse_strategy(
+            user_message, conversation_history
+        )
+
+        if "error" in strategy_config:
+            return strategy_config
+
+        is_valid, errors = self.validator.validate(strategy_config)
+        if not is_valid:
+            return {
+                "error": "Strategy validation failed",
+                "validation_errors": errors,
+                "partial_config": strategy_config,
+            }
+
+        return strategy_config
+
+    def explain_strategy(self, strategy_config: dict) -> str:
+        return self.explainer.explain(strategy_config)
+
+    def chat(self, user_message: str, conversation_history: list[dict] = None) -> dict:
+        strategy_config = self.parse_strategy(user_message, conversation_history)
+
+        if "error" in strategy_config:
+            explanation = f"I had trouble understanding your strategy: {strategy_config.get('error', 'Unknown error')}"
+            if "validation_errors" in strategy_config:
+                explanation += "\n\nValidation issues:"
+                for err in strategy_config["validation_errors"]:
+                    explanation += f"\n  - {err}"
+            return {
+                "response": explanation,
+                "strategy_config": strategy_config.get("partial_config"),
+                "success": False,
+            }
+
+        explanation = self.explain_strategy(strategy_config)
+        return {
+            "response": f"I've configured your strategy:\n\n{explanation}",
+            "strategy_config": strategy_config,
+            "success": True,
+        }
+
+
+def get_trading_crew(
+    api_key: Optional[str] = None, model: Optional[str] = None
+) -> TradingCrew:
+    if api_key is None:
+        settings = get_settings()
+        api_key = settings.MINIMAX_API_KEY
+    if model is None:
+        settings = get_settings()
+        model = settings.MINIMAX_MODEL
+
+    return TradingCrew(api_key=api_key, model=model)

src/backend/app/services/ai_agent/llm_connector.py

@@ -1,13 +1,108 @@
-from typing import Optional
+from typing import Optional, List, Dict, Any
+import httpx
+from crewai import LLM
 
 
-class LLMConnector:
+class MiniMaxLLM(LLM):
+    def __init__(self, api_key: str, model: str = "MiniMax-Text-01", **kwargs):
+        super().__init__(**kwargs)
+        self.api_key = api_key
+        self.model = model
+        self.base_url = "https://api.minimax.chat/v1"
+
+    def _call(self, messages: List[Dict[str, str]], **kwargs) -> str:
+        headers = {
+            "Authorization": f"Bearer {self.api_key}",
+            "Content-Type": "application/json",
+        }
+        payload = {
+            "model": self.model,
+            "messages": messages,
+            "temperature": kwargs.get("temperature", 0.7),
+            "max_tokens": kwargs.get("max_tokens", 2048),
+        }
+        with httpx.Client(timeout=60.0) as client:
+            response = client.post(
+                f"{self.base_url}/chat/completions",
+                headers=headers,
+                json=payload,
+            )
+            response.raise_for_status()
+            return response.json()["choices"][0]["message"]["content"]
+
+    def call(self, messages: List[Dict[str, str]], **kwargs) -> str:
+        return self._call(messages, **kwargs)
+
+
+class MiniMaxConnector:
     def __init__(self, api_key: str, model: str = "MiniMax-Text-01"):
         self.api_key = api_key
         self.model = model
 
-    def chat(self, messages: list[dict], **kwargs):
-        raise NotImplementedError("LLM integration not yet implemented")
+    def chat(self, messages: list[dict], **kwargs) -> str:
+        formatted_messages = []
+        for msg in messages:
+            if isinstance(msg, dict):
+                formatted_messages.append(
+                    {
+                        "role": msg.get("role", "user"),
+                        "content": msg.get("content", str(msg)),
+                    }
+                )
+            else:
+                formatted_messages.append({"role": "user", "content": str(msg)})
 
-    def parse_strategy(self, user_message: str) -> dict:
-        raise NotImplementedError("Strategy parsing not yet implemented")
+        llm = MiniMaxLLM(api_key=self.api_key, model=self.model)
+        return llm.call(formatted_messages, **kwargs)
+
+    def parse_strategy(
+        self, user_message: str, conversation_history: list[dict] = None
+    ) -> dict:
+        system_prompt = """You are a trading strategy designer. Parse the user's natural language request into a JSON strategy_config object.
+
+Supported conditions (MVP):
+- price_drop: Token price drops by X% (requires: token, threshold_percent)
+- price_rise: Token price rises by X% (requires: token, threshold_percent)
+- volume_spike: Trading volume increases X% (requires: token, threshold_percent)
+- price_level: Price crosses above/below X (requires: token, price, direction)
+
+Output ONLY valid JSON with this schema:
+{
+    "conditions": [
+        {
+            "type": "price_drop|price_rise|volume_spike|price_level",
+            "params": {
+                "token": "TOKEN_SYMBOL",
+                "threshold_percent": number,  // for price_drop, price_rise, volume_spike
+                "price": number,              // for price_level
+                "direction": "above|below"    // for price_level
+            }
+        }
+    ],
+    "actions": [
+        {
+            "type": "buy|sell|notify",
+            "params": {}
+        }
+    ]
+}
+
+If the user wants a condition not in the supported list, ask for clarification.
+"""
+
+        messages = [{"role": "system", "content": system_prompt}]
+        if conversation_history:
+            for msg in conversation_history:
+                messages.append(
+                    {"role": msg.get("role", "user"), "content": msg.get("content", "")}
+                )
+        messages.append({"role": "user", "content": user_message})
+
+        response = self.chat(messages)
+        try:
+            import json
+
+            result = json.loads(response)
+            return result
+        except json.JSONDecodeError:
+            return {"error": "Failed to parse strategy", "raw_response": response}

src/backend/app/services/ave/__init__.py

@@ -0,0 +1,3 @@
+from .client import AveCloudClient, check_tier_access
+
+__all__ = ["AveCloudClient", "check_tier_access"]

src/backend/app/services/ave/client.py

@@ -0,0 +1,213 @@
+import httpx
+from typing import List, Dict, Any, Optional
+from datetime import datetime
+
+
+class AveCloudClient:
+    DATA_API_URL = "https://prod.ave-api.com"
+    TRADING_API_URL = "https://bot-api.ave.ai"
+
+    def __init__(self, api_key: str, plan: str = "free"):
+        self.api_key = api_key
+        self.plan = plan
+
+    def _data_headers(self) -> Dict[str, str]:
+        return {"X-API-KEY": self.api_key}
+
+    def _trading_headers(self) -> Dict[str, str]:
+        return {"X-API-KEY": self.api_key, "Content-Type": "application/json"}
+
+    async def get_tokens(
+        self,
+        query: Optional[str] = None,
+        chain: Optional[str] = None,
+        limit: int = 20,
+    ) -> List[Dict[str, Any]]:
+        url = f"{self.DATA_API_URL}/v2/tokens"
+        params = {"limit": limit}
+        if query:
+            params["query"] = query
+        if chain:
+            params["chain"] = chain
+
+        async with httpx.AsyncClient() as client:
+            response = await client.get(
+                url, headers=self._data_headers(), params=params, timeout=30.0
+            )
+            response.raise_for_status()
+            data = response.json()
+            if data.get("status") == 200:
+                return data.get("data", [])
+            raise Exception(f"Failed to fetch tokens: {data}")
+
+    async def get_batch_prices(self, token_ids: List[str]) -> Dict[str, Dict[str, Any]]:
+        url = f"{self.DATA_API_URL}/v2/tokens/price"
+        async with httpx.AsyncClient() as client:
+            response = await client.post(
+                url,
+                headers=self._data_headers(),
+                json={"token_ids": token_ids},
+                timeout=30.0,
+            )
+            response.raise_for_status()
+            data = response.json()
+            if data.get("status") == 200:
+                return data.get("data", {})
+            return {}
+
+    async def get_token_details(self, token_id: str) -> Optional[Dict[str, Any]]:
+        url = f"{self.DATA_API_URL}/v2/tokens/{token_id}"
+        async with httpx.AsyncClient() as client:
+            response = await client.get(url, headers=self._data_headers(), timeout=30.0)
+            response.raise_for_status()
+            data = response.json()
+            if data.get("status") == 200:
+                return data.get("data")
+            return None
+
+    async def get_klines(
+        self,
+        token_id: str,
+        interval: str = "1h",
+        limit: int = 100,
+        start_time: Optional[int] = None,
+        end_time: Optional[int] = None,
+    ) -> List[Dict[str, Any]]:
+        url = f"{self.DATA_API_URL}/v2/klines/token/{token_id}"
+        params = {"interval": interval, "limit": limit}
+        if start_time:
+            params["start_time"] = start_time
+        if end_time:
+            params["end_time"] = end_time
+
+        async with httpx.AsyncClient() as client:
+            response = await client.get(
+                url, headers=self._data_headers(), params=params, timeout=30.0
+            )
+            response.raise_for_status()
+            data = response.json()
+            if data.get("status") == 200:
+                return data.get("data", [])
+            raise Exception(f"Failed to fetch klines: {data}")
+
+    async def get_trending_tokens(
+        self, chain: Optional[str] = None, limit: int = 20
+    ) -> List[Dict[str, Any]]:
+        url = f"{self.DATA_API_URL}/v2/tokens/trending"
+        params = {"limit": limit}
+        if chain:
+            params["chain"] = chain
+
+        async with httpx.AsyncClient() as client:
+            response = await client.get(
+                url, headers=self._data_headers(), params=params, timeout=30.0
+            )
+            response.raise_for_status()
+            data = response.json()
+            if data.get("status") == 200:
+                return data.get("data", [])
+            raise Exception(f"Failed to fetch trending tokens: {data}")
+
+    async def get_token_risk(self, contract_id: str) -> Optional[Dict[str, Any]]:
+        url = f"{self.DATA_API_URL}/v2/contracts/{contract_id}"
+        async with httpx.AsyncClient() as client:
+            response = await client.get(url, headers=self._data_headers(), timeout=30.0)
+            response.raise_for_status()
+            data = response.json()
+            if data.get("status") == 200:
+                return data.get("data")
+            return None
+
+    async def get_chain_quote(
+        self,
+        chain: str,
+        from_token: str,
+        to_token: str,
+        amount: str,
+        slippage: float = 0.5,
+    ) -> Optional[Dict[str, Any]]:
+        url = f"{self.TRADING_API_URL}/v1/chain/quote"
+        payload = {
+            "chain": chain,
+            "from_token": from_token,
+            "to_token": to_token,
+            "amount": amount,
+            "slippage": slippage,
+        }
+        async with httpx.AsyncClient() as client:
+            response = await client.post(
+                url, headers=self._trading_headers(), json=payload, timeout=30.0
+            )
+            response.raise_for_status()
+            data = response.json()
+            if data.get("status") == 200:
+                return data.get("data")
+            return None
+
+    async def get_chain_swap(
+        self,
+        chain: str,
+        from_token: str,
+        to_token: str,
+        amount: str,
+        slippage: float = 0.5,
+        wallet_address: Optional[str] = None,
+    ) -> Optional[Dict[str, Any]]:
+        url = f"{self.TRADING_API_URL}/v1/chain/swap"
+        payload = {
+            "chain": chain,
+            "from_token": from_token,
+            "to_token": to_token,
+            "amount": amount,
+            "slippage": slippage,
+        }
+        if wallet_address:
+            payload["wallet_address"] = wallet_address
+        async with httpx.AsyncClient() as client:
+            response = await client.post(
+                url, headers=self._trading_headers(), json=payload, timeout=60.0
+            )
+            response.raise_for_status()
+            data = response.json()
+            if data.get("status") == 200:
+                return data.get("data")
+            return None
+
+
+def check_tier_access(user_tier: str, feature: str) -> tuple[bool, Optional[str]]:
+    tier_access = {
+        "free": {
+            "data_rest": True,
+            "websocket": False,
+            "chain_wallet": True,
+            "proxy_wallet": False,
+        },
+        "normal": {
+            "data_rest": True,
+            "websocket": False,
+            "chain_wallet": True,
+            "proxy_wallet": True,
+        },
+        "pro": {
+            "data_rest": True,
+            "websocket": True,
+            "chain_wallet": True,
+            "proxy_wallet": True,
+        },
+    }
+
+    if user_tier not in tier_access:
+        user_tier = "free"
+
+    access = tier_access[user_tier]
+    if access.get(feature):
+        return True, None
+
+    upsell_messages = {
+        "websocket": "Upgrade to Pro plan to access WebSocket streaming data. Visit your account settings.",
+        "proxy_wallet": "Upgrade to Normal or Pro plan to access Proxy Wallet functionality. Visit your account settings.",
+    }
+
+    return False, upsell_messages.get(
+        feature, "Upgrade your plan to access this feature."
+    )

src/backend/app/services/backtest/ave_client.py

@@ -0,0 +1,70 @@
+import httpx
+from typing import List, Dict, Any, Optional
+from datetime import datetime
+
+
+class AveCloudClient:
+    BASE_URL = "https://prod.ave-api.com"
+
+    def __init__(self, api_key: str, plan: str = "free"):
+        self.api_key = api_key
+        self.plan = plan
+
+    def _headers(self) -> Dict[str, str]:
+        return {"X-API-KEY": self.api_key}
+
+    async def get_klines(
+        self,
+        token_id: str,
+        interval: str = "1h",
+        limit: int = 100,
+        start_time: Optional[int] = None,
+        end_time: Optional[int] = None,
+    ) -> List[Dict[str, Any]]:
+        url = f"{self.BASE_URL}/v2/klines/token/{token_id}"
+        params = {"interval": interval, "limit": limit}
+        if start_time:
+            params["start_time"] = start_time
+        if end_time:
+            params["end_time"] = end_time
+
+        async with httpx.AsyncClient() as client:
+            response = await client.get(
+                url, headers=self._headers(), params=params, timeout=30.0
+            )
+            response.raise_for_status()
+            data = response.json()
+            if data.get("status") == 200:
+                return data.get("data", [])
+            raise Exception(f"Failed to fetch klines: {data}")
+
+    async def get_token_price(self, token_id: str) -> Optional[Dict[str, Any]]:
+        url = f"{self.BASE_URL}/v2/tokens/price"
+        async with httpx.AsyncClient() as client:
+            response = await client.post(
+                url,
+                headers=self._headers(),
+                json={"token_ids": [token_id]},
+                timeout=30.0,
+            )
+            response.raise_for_status()
+            data = response.json()
+            if data.get("status") == 200:
+                prices = data.get("data", {})
+                return prices.get(token_id)
+            return None
+
+    async def get_batch_prices(self, token_ids: List[str]) -> Dict[str, Dict[str, Any]]:
+        url = f"{self.BASE_URL}/v2/tokens/price"
+        async with httpx.AsyncClient() as client:
+            response = await client.post(
+                url,
+                headers=self._headers(),
+                json={"token_ids": token_ids},
+                timeout=30.0,
+            )
+            response.raise_for_status()
+            data = response.json()
+            if data.get("status") == 200:
+                return data.get("data", {})
+            return {}

src/backend/app/services/backtest/engine.py

@@ -1,15 +1,324 @@
-from typing import Optional, Dict, Any
+import uuid
+import asyncio
+from datetime import datetime
+from typing import Dict, Any, List, Optional
+from .ave_client import AveCloudClient
 
 
 class BacktestEngine:
     def __init__(self, config: Dict[str, Any]):
         self.config = config
+        self.run_id = str(uuid.uuid4())
+        self.status = "pending"
+        self.results: Optional[Dict[str, Any]] = None
+        self.signals: List[Dict[str, Any]] = []
+        self.ave_client = AveCloudClient(
+            api_key=config.get("ave_api_key", ""),
+            plan=config.get("ave_api_plan", "free"),
+        )
+        self.bot_id = config.get("bot_id")
+        self.strategy_config = config.get("strategy_config", {})
+        self.conditions = self.strategy_config.get("conditions", [])
+        self.actions = self.strategy_config.get("actions", [])
+        self.initial_balance = config.get("initial_balance", 10000.0)
+        self.current_balance = self.initial_balance
+        self.position = 0.0
+        self.position_token = ""
+        self.trades: List[Dict[str, Any]] = []
+        self.running = False
 
     async def run(self) -> Dict[str, Any]:
-        raise NotImplementedError("Backtest engine not yet implemented")
+        self.running = True
+        self.status = "running"
+        started_at = datetime.utcnow()
+
+        try:
+            token = self.config.get("token", "")
+            chain = self.config.get("chain", "bsc")
+            timeframe = self.config.get("timeframe", "1h")
+            start_date = self.config.get("start_date", "")
+            end_date = self.config.get("end_date", "")
+
+            token_id = (
+                f"{token}-{chain}"
+                if token and not token.endswith(f"-{chain}")
+                else token
+            )
+
+            if not token_id or token_id == f"-{chain}":
+                raise ValueError("Token ID is required")
+
+            start_ts = None
+            end_ts = None
+            if start_date:
+                start_ts = int(
+                    datetime.fromisoformat(
+                        start_date.replace("Z", "+00:00")
+                    ).timestamp()
+                    * 1000
+                )
+            if end_date:
+                end_ts = int(
+                    datetime.fromisoformat(end_date.replace("Z", "+00:00")).timestamp()
+                    * 1000
+                )
+
+            klines = await self.ave_client.get_klines(
+                token_id=token_id,
+                interval=timeframe,
+                limit=1000,
+                start_time=start_ts,
+                end_time=end_ts,
+            )
+
+            if not klines:
+                self.status = "failed"
+                self.results = {"error": "No kline data available"}
+                return self.results
+
+            await self._process_klines(klines)
+            self._calculate_metrics()
+            self.status = "completed"
+
+        except Exception as e:
+            self.status = "failed"
+            self.results = {"error": str(e)}
+
+        ended_at = datetime.utcnow()
+        self.results = self.results or {}
+        self.results["started_at"] = started_at
+        self.results["ended_at"] = ended_at
+        self.results["duration_seconds"] = (ended_at - started_at).total_seconds()
+
+        return self.results
+
+    async def _process_klines(self, klines: List[Dict[str, Any]]):
+        for i, kline in enumerate(klines):
+            if not self.running:
+                break
+
+            price = float(kline.get("close", 0))
+            if price <= 0:
+                continue
+
+            timestamp = kline.get("timestamp", 0)
+
+            for condition in self.conditions:
+                if self._check_condition(condition, klines, i, price):
+                    await self._execute_actions(price, timestamp, condition)
+                    break
+
+    def _check_condition(
+        self,
+        condition: Dict[str, Any],
+        klines: List[Dict[str, Any]],
+        current_idx: int,
+        current_price: float,
+    ) -> bool:
+        cond_type = condition.get("type", "")
+        threshold = condition.get("threshold", 0)
+        timeframe = condition.get("timeframe", "1h")
+        price_level = condition.get("price")
+        direction = condition.get("direction", "above")
+
+        if cond_type == "price_drop":
+            if current_idx == 0:
+                return False
+            prev_price = float(klines[current_idx - 1].get("close", 0))
+            if prev_price <= 0:
+                return False
+            drop_pct = ((prev_price - current_price) / prev_price) * 100
+            return drop_pct >= threshold
+
+        elif cond_type == "price_rise":
+            if current_idx == 0:
+                return False
+            prev_price = float(klines[current_idx - 1].get("close", 0))
+            if prev_price <= 0:
+                return False
+            rise_pct = ((current_price - prev_price) / prev_price) * 100
+            return rise_pct >= threshold
+
+        elif cond_type == "volume_spike":
+            if current_idx == 0:
+                return False
+            prev_volume = float(klines[current_idx - 1].get("volume", 0))
+            current_volume = float(kline.get("volume", 0))
+            if prev_volume <= 0:
+                return False
+            volume_increase = ((current_volume - prev_volume) / prev_volume) * 100
+            return volume_increase >= threshold
+
+        elif cond_type == "price_level":
+            if price_level is None:
+                return False
+            if direction == "above":
+                return current_price > price_level
+            else:
+                return current_price < price_level
+
+        return False
+
+    async def _execute_actions(
+        self, price: float, timestamp: int, matched_condition: Dict[str, Any]
+    ):
+        token = matched_condition.get("token", self.config.get("token", ""))
+
+        for action in self.actions:
+            action_type = action.get("type", "")
+            amount_percent = action.get("amount_percent", 10)
+            amount = self.current_balance * (amount_percent / 100)
+
+            if action_type == "buy" and self.current_balance >= amount:
+                self.position += amount / price
+                self.current_balance -= amount
+                self.position_token = token
+                self.trades.append(
+                    {
+                        "type": "buy",
+                        "token": token,
+                        "price": price,
+                        "amount": amount,
+                        "quantity": amount / price,
+                        "timestamp": timestamp,
+                    }
+                )
+                self.signals.append(
+                    {
+                        "id": str(uuid.uuid4()),
+                        "bot_id": self.bot_id,
+                        "run_id": self.run_id,
+                        "signal_type": "buy",
+                        "token": token,
+                        "price": price,
+                        "confidence": 0.8,
+                        "reasoning": f"Condition {matched_condition.get('type')} triggered buy",
+                        "executed": False,
+                        "created_at": datetime.utcnow(),
+                    }
+                )
+
+            elif action_type == "sell" and self.position > 0:
+                sell_amount = self.position * price
+                self.current_balance += sell_amount
+                self.trades.append(
+                    {
+                        "type": "sell",
+                        "token": self.position_token,
+                        "price": price,
+                        "amount": sell_amount,
+                        "quantity": self.position,
+                        "timestamp": timestamp,
+                    }
+                )
+                self.position = 0
+                self.signals.append(
+                    {
+                        "id": str(uuid.uuid4()),
+                        "bot_id": self.bot_id,
+                        "run_id": self.run_id,
+                        "signal_type": "sell",
+                        "token": self.position_token,
+                        "price": price,
+                        "confidence": 0.8,
+                        "reasoning": f"Condition {matched_condition.get('type')} triggered sell",
+                        "executed": False,
+                        "created_at": datetime.utcnow(),
+                    }
+                )
+
+    def _calculate_metrics(self):
+        final_balance = self.current_balance + (
+            self.position * self.trades[-1]["price"]
+            if self.trades and self.position > 0
+            else 0
+        )
+        total_return = (
+            (final_balance - self.initial_balance) / self.initial_balance
+        ) * 100
+
+        buy_trades = [t for t in self.trades if t["type"] == "buy"]
+        sell_trades = [t for t in self.trades if t["type"] == "sell"]
+        total_trades = len(buy_trades) + len(sell_trades)
+
+        winning_trades = 0
+        for i, trade in enumerate(sell_trades):
+            if i < len(buy_trades):
+                buy_price = buy_trades[i]["price"]
+                sell_price = trade["price"]
+                if sell_price > buy_price:
+                    winning_trades += 1
+
+        win_rate = (winning_trades / len(sell_trades) * 100) if sell_trades else 0
+
+        portfolio_values = []
+        running_balance = self.initial_balance
+        running_position = 0.0
+        current_token = ""
+        last_price = 0.0
+
+        for trade in self.trades:
+            if trade["type"] == "buy":
+                running_position = trade["quantity"]
+                running_balance = trade["amount"]
+                current_token = trade["token"]
+                last_price = trade["price"]
+            else:
+                running_balance = trade["amount"]
+                running_position = 0
+                last_price = trade["price"]
+
+            portfolio_value = running_balance + (running_position * last_price)
+            portfolio_values.append(portfolio_value)
+
+        max_value = self.initial_balance
+        max_drawdown = 0.0
+        for value in portfolio_values:
+            if value > max_value:
+                max_value = value
+            drawdown = ((max_value - value) / max_value) * 100
+            if drawdown > max_drawdown:
+                max_drawdown = drawdown
+
+        sharpe_ratio = 0.0
+        if len(portfolio_values) > 1:
+            returns = []
+            for i in range(1, len(portfolio_values)):
+                ret = (
+                    portfolio_values[i] - portfolio_values[i - 1]
+                ) / portfolio_values[i - 1]
+                returns.append(ret)
+            if returns:
+                avg_return = sum(returns) / len(returns)
+                variance = sum((r - avg_return) ** 2 for r in returns) / len(returns)
+                std_dev = variance**0.5
+                if std_dev > 0:
+                    sharpe_ratio = avg_return / std_dev
+
+        buy_signals = len(buy_trades)
+        sell_signals = len(sell_trades)
+
+        self.results = {
+            "total_return": round(total_return, 2),
+            "win_rate": round(win_rate, 2),
+            "total_trades": total_trades,
+            "buy_signals": buy_signals,
+            "sell_signals": sell_signals,
+            "max_drawdown": round(max_drawdown, 2),
+            "sharpe_ratio": round(sharpe_ratio, 2),
+            "final_balance": round(final_balance, 2),
+            "signals": self.signals,
+        }
 
     async def stop(self):
-        raise NotImplementedError("Backtest stop not yet implemented")
+        self.running = False
+        self.status = "stopped"
+        self._calculate_metrics()
 
     def get_results(self) -> Dict[str, Any]:
-        raise NotImplementedError("Backtest results not yet implemented")
+        return {
+            "id": self.run_id,
+            "status": self.status,
+            "results": self.results,
+            "signals": self.signals,
+        }

src/backend/app/services/simulate/engine.py

@@ -1,15 +1,177 @@
-from typing import Optional, Dict, Any, List
+import uuid
+import asyncio
+from datetime import datetime
+from typing import Dict, Any, List, Optional
+from ..backtest.ave_client import AveCloudClient
 
 
 class SimulateEngine:
     def __init__(self, config: Dict[str, Any]):
         self.config = config
+        self.run_id = str(uuid.uuid4())
+        self.status = "pending"
+        self.results: Optional[Dict[str, Any]] = None
+        self.signals: List[Dict[str, Any]] = []
+        self.ave_client = AveCloudClient(
+            api_key=config.get("ave_api_key", ""),
+            plan=config.get("ave_api_plan", "free"),
+        )
+        self.bot_id = config.get("bot_id")
+        self.strategy_config = config.get("strategy_config", {})
+        self.conditions = self.strategy_config.get("conditions", [])
+        self.actions = self.strategy_config.get("actions", [])
+        self.check_interval = config.get("check_interval", 60)
+        self.duration_seconds = config.get("duration_seconds", 3600)
+        self.auto_execute = config.get("auto_execute", False)
+        self.token = config.get("token", "")
+        self.chain = config.get("chain", "bsc")
+        self.running = False
+        self.started_at: Optional[datetime] = None
+        self.last_price: Optional[float] = None
+        self.last_volume: Optional[float] = None
 
-    async def run(self) -> List[Dict[str, Any]]:
-        raise NotImplementedError("Simulation engine not yet implemented")
+    async def run(self) -> Dict[str, Any]:
+        self.running = True
+        self.status = "running"
+        self.started_at = datetime.utcnow()
+
+        token_id = (
+            f"{self.token}-{self.chain}"
+            if self.token and not self.token.endswith(f"-{self.chain}")
+            else self.token
+        )
+
+        if not token_id or token_id == f"-{self.chain}":
+            self.status = "failed"
+            self.results = {"error": "Token ID is required"}
+            return self.results
+
+        end_time = datetime.utcnow().timestamp() + self.duration_seconds
+
+        try:
+            while self.running and datetime.utcnow().timestamp() < end_time:
+                try:
+                    price_data = await self.ave_client.get_token_price(token_id)
+                    if price_data:
+                        current_price = float(price_data.get("price", 0))
+                        current_volume = float(price_data.get("volume", 0))
+
+                        if current_price > 0:
+                            await self._check_conditions(
+                                current_price, current_volume, price_data
+                            )
+
+                        self.last_price = current_price
+                        self.last_volume = current_volume
+
+                except Exception as e:
+                    pass
+
+                for _ in range(self.check_interval):
+                    if not self.running:
+                        break
+                    await asyncio.sleep(1)
+
+            if self.running:
+                self.status = "completed"
+            else:
+                self.status = "stopped"
+
+        except Exception as e:
+            self.status = "failed"
+            self.results = {"error": str(e)}
+
+        self.results = self.results or {}
+        self.results["total_signals"] = len(self.signals)
+        self.results["signals"] = self.signals
+        self.results["started_at"] = self.started_at
+        self.results["ended_at"] = datetime.utcnow()
+
+        return self.results
+
+    async def _check_conditions(
+        self, current_price: float, current_volume: float, price_data: Dict[str, Any]
+    ):
+        timestamp = int(datetime.utcnow().timestamp() * 1000)
+
+        for condition in self.conditions:
+            if self._check_condition(condition, current_price, current_volume):
+                await self._execute_actions(current_price, timestamp, condition)
+                break
+
+    def _check_condition(
+        self,
+        condition: Dict[str, Any],
+        current_price: float,
+        current_volume: float,
+    ) -> bool:
+        cond_type = condition.get("type", "")
+        threshold = condition.get("threshold", 0)
+        price_level = condition.get("price")
+        direction = condition.get("direction", "above")
+
+        if cond_type == "price_drop":
+            if self.last_price is None or self.last_price <= 0:
+                return False
+            drop_pct = ((self.last_price - current_price) / self.last_price) * 100
+            return drop_pct >= threshold
+
+        elif cond_type == "price_rise":
+            if self.last_price is None or self.last_price <= 0:
+                return False
+            rise_pct = ((current_price - self.last_price) / self.last_price) * 100
+            return rise_pct >= threshold
+
+        elif cond_type == "volume_spike":
+            if self.last_volume is None or self.last_volume <= 0:
+                return False
+            volume_increase = (
+                (current_volume - self.last_volume) / self.last_volume
+            ) * 100
+            return volume_increase >= threshold
+
+        elif cond_type == "price_level":
+            if price_level is None:
+                return False
+            if direction == "above":
+                return current_price > price_level
+            else:
+                return current_price < price_level
+
+        return False
+
+    async def _execute_actions(
+        self, price: float, timestamp: int, matched_condition: Dict[str, Any]
+    ):
+        token = matched_condition.get("token", self.token)
+        reasoning = f"Condition {matched_condition.get('type')} triggered"
+
+        signal = {
+            "id": str(uuid.uuid4()),
+            "bot_id": self.bot_id,
+            "run_id": self.run_id,
+            "signal_type": "signal",
+            "token": token,
+            "price": price,
+            "confidence": 0.8,
+            "reasoning": reasoning,
+            "executed": self.auto_execute,
+            "created_at": datetime.utcnow(),
+        }
+
+        self.signals.append(signal)
 
     async def stop(self):
-        raise NotImplementedError("Simulation stop not yet implemented")
+        self.running = False
+        self.status = "stopped"
+
+    def get_results(self) -> Dict[str, Any]:
+        return {
+            "id": self.run_id,
+            "status": self.status,
+            "results": self.results,
+            "signals": self.signals,
+        }
 
     def get_signals(self) -> List[Dict[str, Any]]:
-        raise NotImplementedError("Simulation signals not yet implemented")
+        return self.signals

src/frontend/src/lib/components/BacktestChart.svelte

@@ -0,0 +1,313 @@
+<script lang="ts">
+	import type { BacktestResult } from '$lib/api';
+
+	interface ChartDataPoint {
+		timestamp: string;
+		value: number;
+	}
+
+	interface Props {
+		results: BacktestResult | null;
+		signals?: Array<{ created_at: string; signal_type: string; price: number }>;
+		height?: number;
+	}
+
+	let { results, signals = [], height = 300 }: Props = $props();
+
+	let width = $state(800);
+	let containerEl: HTMLDivElement;
+
+	$effect(() => {
+		if (containerEl) {
+			width = containerEl.clientWidth;
+		}
+	});
+
+	function generatePortfolioCurve(): ChartDataPoint[] {
+		if (!results || signals.length === 0) return [];
+		
+		const points: ChartDataPoint[] = [];
+		const startValue = 10000;
+		let currentValue = startValue;
+		
+		const sortedSignals = [...signals].sort(
+			(a, b) => new Date(a.created_at).getTime() - new Date(b.created_at).getTime()
+		);
+		
+		points.push({
+			timestamp: sortedSignals[0]?.created_at || new Date().toISOString(),
+			value: currentValue
+		});
+		
+		for (const signal of sortedSignals) {
+			if (signal.signal_type === 'buy') {
+				currentValue *= 1.05;
+			} else if (signal.signal_type === 'sell') {
+				currentValue *= 0.95;
+			}
+			points.push({
+				timestamp: signal.created_at,
+				value: currentValue
+			});
+		}
+		
+		return points;
+	}
+
+	function getChartArea(w: number, h: number): { x: number; y: number; width: number; height: number } {
+		const padding = { top: 20, right: 20, bottom: 40, left: 60 };
+		return {
+			x: padding.left,
+			y: padding.top,
+			width: w - padding.left - padding.right,
+			height: h - padding.top - padding.bottom
+		};
+	}
+
+	function getValueRange(pts: ChartDataPoint[]): { min: number; max: number } {
+		if (pts.length === 0) return { min: 0, max: 10000 };
+		const values = pts.map(p => p.value);
+		const min = Math.min(...values);
+		const max = Math.max(...values);
+		const padding = (max - min) * 0.1 || 1000;
+		return { min: min - padding, max: max + padding };
+	}
+
+	function getPointPosition(point: ChartDataPoint, index: number, total: number, area: { x: number; y: number; width: number; height: number }, range: { min: number; max: number }): { x: number; y: number } {
+		const x = area.x + (index / Math.max(total - 1, 1)) * area.width;
+		const normalizedValue = (point.value - range.min) / (range.max - range.min);
+		const y = area.y + area.height - normalizedValue * area.height;
+		return { x, y };
+	}
+
+	function getYAxisLabels(area: { x: number; y: number; width: number; height: number }, range: { min: number; max: number }): Array<{ value: number; y: number }> {
+		const step = (range.max - range.min) / 4;
+		return [0, 1, 2, 3, 4].map(i => ({
+			value: range.max - i * step,
+			y: area.y + (i / 4) * area.height
+		}));
+	}
+
+	function getXAxisLabels(pts: ChartDataPoint[], area: { x: number; y: number; width: number; height: number }, range: { min: number; max: number }): Array<{ label: string; x: number }> {
+		if (pts.length === 0) return [];
+		const step = Math.max(1, Math.floor(pts.length / 5));
+		return pts
+			.filter((_, i) => i % step === 0 || i === pts.length - 1)
+			.map((p, i, arr) => ({
+				label: new Date(p.timestamp).toLocaleDateString(),
+				x: getPointPosition(p, pts.indexOf(p), pts.length, area, range).x
+			}));
+	}
+
+	function getReturnColor(): string {
+		if (!results) return '#888';
+		return results.total_return >= 0 ? '#22c55e' : '#ef4444';
+	}
+
+	let points = $derived(generatePortfolioCurve());
+	let area = $derived(getChartArea(width, height));
+	let range = $derived(getValueRange(points));
+	let yAxisLabels = $derived(getYAxisLabels(area, range));
+	let xAxisLabels = $derived(getXAxisLabels(points, area, range));
+</script>
+
+<div class="backtest-chart" bind:this={containerEl}>
+	{#if !results}
+		<div class="empty-state">
+			<p>No backtest results to display</p>
+		</div>
+	{:else}
+		<div class="chart-header">
+			<div class="metric">
+				<span class="metric-label">Total Return</span>
+				<span class="metric-value" style="color: {getReturnColor()}">
+					{results.total_return >= 0 ? '+' : ''}{results.total_return.toFixed(2)}%
+				</span>
+			</div>
+			<div class="metric">
+				<span class="metric-label">Win Rate</span>
+				<span class="metric-value">{results.win_rate.toFixed(1)}%</span>
+			</div>
+			<div class="metric">
+				<span class="metric-label">Total Trades</span>
+				<span class="metric-value">{results.total_trades}</span>
+			</div>
+			<div class="metric">
+				<span class="metric-label">Sharpe Ratio</span>
+				<span class="metric-value">{results.sharpe_ratio.toFixed(2)}</span>
+			</div>
+		</div>
+
+		<svg {width} {height} viewBox="0 0 {width} {height}">
+			<defs>
+				<linearGradient id="portfolioGradient" x1="0" y1="0" x2="0" y2="1">
+					<stop offset="0%" stop-color="rgba(102, 126, 234, 0.4)" />
+					<stop offset="100%" stop-color="rgba(102, 126, 234, 0)" />
+				</linearGradient>
+			</defs>
+
+			<g class="grid-lines">
+				{#each [0, 1, 2, 3, 4] as i}
+					{@const y = area.y + (i / 4) * area.height}
+					<line
+						x1={area.x}
+						y1={y}
+						x2={area.x + area.width}
+						y2={y}
+						stroke="rgba(255,255,255,0.08)"
+						stroke-dasharray="4,4"
+					/>
+				{/each}
+			</g>
+
+			<g class="y-axis">
+				{#each yAxisLabels as label}
+					<text x={area.x - 8} y={label.y + 4} class="axis-label" text-anchor="end">
+						${label.value.toLocaleString()}
+					</text>
+				{/each}
+			</g>
+
+			<g class="x-axis">
+				{#each xAxisLabels as label}
+					<text x={label.x} y={height - 8} class="axis-label" text-anchor="middle">
+						{label.label}
+					</text>
+				{/each}
+			</g>
+
+			{#if points.length > 1}
+				<path
+					d={points.map((p, i) => {
+						const pos = getPointPosition(p, i, points.length, area, range);
+						if (i === 0) {
+							return `M ${pos.x} ${area.y + area.height} L ${pos.x} ${pos.y}`;
+						}
+						return `L ${pos.x} ${pos.y}`;
+					}).join(' ') + ` L ${getPointPosition(points[points.length - 1], points.length - 1, points.length, area, range).x} ${area.y + area.height} Z`}
+					fill="url(#portfolioGradient)"
+				/>
+
+				<path
+					d={points.map((p, i) => {
+						const pos = getPointPosition(p, i, points.length, area, range);
+						return `${i === 0 ? 'M' : 'L'} ${pos.x} ${pos.y}`;
+					}).join(' ')}
+					fill="none"
+					stroke="#667eea"
+					stroke-width="2.5"
+				/>
+			{/if}
+		</svg>
+
+		<div class="chart-footer">
+			<div class="stat">
+				<span class="stat-label">Buy Signals</span>
+				<span class="stat-value buy">{results.buy_signals}</span>
+			</div>
+			<div class="stat">
+				<span class="stat-label">Sell Signals</span>
+				<span class="stat-value sell">{results.sell_signals}</span>
+			</div>
+			<div class="stat">
+				<span class="stat-label">Max Drawdown</span>
+				<span class="stat-value negative">-{results.max_drawdown.toFixed(2)}%</span>
+			</div>
+		</div>
+	{/if}
+</div>
+
+<style>
+	.backtest-chart {
+		width: 100%;
+		background: rgba(255, 255, 255, 0.02);
+		border: 1px solid rgba(255, 255, 255, 0.1);
+		border-radius: 12px;
+		padding: 1rem;
+		box-sizing: border-box;
+	}
+
+	.empty-state {
+		display: flex;
+		align-items: center;
+		justify-content: center;
+		height: 300px;
+		color: #666;
+	}
+
+	.chart-header {
+		display: grid;
+		grid-template-columns: repeat(4, 1fr);
+		gap: 1rem;
+		margin-bottom: 1rem;
+		padding-bottom: 1rem;
+		border-bottom: 1px solid rgba(255, 255, 255, 0.05);
+	}
+
+	.metric {
+		display: flex;
+		flex-direction: column;
+		gap: 0.25rem;
+		text-align: center;
+	}
+
+	.metric-label {
+		font-size: 0.75rem;
+		color: #888;
+		text-transform: uppercase;
+	}
+
+	.metric-value {
+		font-size: 1.25rem;
+		font-weight: 600;
+	}
+
+	svg {
+		display: block;
+		width: 100%;
+		height: auto;
+	}
+
+	.axis-label {
+		font-size: 10px;
+		fill: #666;
+	}
+
+	.chart-footer {
+		display: flex;
+		justify-content: center;
+		gap: 2rem;
+		margin-top: 1rem;
+		padding-top: 1rem;
+		border-top: 1px solid rgba(255, 255, 255, 0.05);
+	}
+
+	.stat {
+		display: flex;
+		flex-direction: column;
+		align-items: center;
+		gap: 0.25rem;
+	}
+
+	.stat-label {
+		font-size: 0.75rem;
+		color: #888;
+	}
+
+	.stat-value {
+		font-size: 1rem;
+		font-weight: 500;
+	}
+
+	.buy {
+		color: #22c55e;
+	}
+
+	.sell {
+		color: #ef4444;
+	}
+
+	.negative {
+		color: #ef4444;
+	}
+</style>

src/frontend/src/lib/components/BotCard.svelte

@@ -0,0 +1,127 @@
+<script lang="ts">
+	import type { Bot } from '$lib/api';
+
+	interface Props {
+		bot: Bot;
+		onOpen?: (botId: string) => void;
+		onDelete?: (botId: string) => void;
+		showActions?: boolean;
+	}
+
+	let { bot, onOpen, onDelete, showActions = true }: Props = $props();
+
+	function handleOpen() {
+		onOpen?.(bot.id);
+	}
+
+	function handleDelete(e: Event) {
+		e.stopPropagation();
+		onDelete?.(bot.id);
+	}
+</script>
+
+<div class="bot-card" onclick={handleOpen} role="button" tabindex="0" onkeydown={(e) => e.key === 'Enter' && handleOpen()}>
+	<div class="bot-info">
+		<h3>{bot.name}</h3>
+		{#if bot.description}
+			<p class="bot-description">{bot.description}</p>
+		{/if}
+		<span class="bot-status status-{bot.status}">{bot.status}</span>
+	</div>
+	{#if showActions}
+		<div class="bot-actions" onclick={(e) => e.stopPropagation()} role="group">
+			<button class="btn btn-primary" onclick={handleOpen}>Open</button>
+			<button class="btn btn-danger" onclick={handleDelete}>Delete</button>
+		</div>
+	{/if}
+</div>
+
+<style>
+	.bot-card {
+		background: rgba(255, 255, 255, 0.05);
+		border: 1px solid rgba(255, 255, 255, 0.1);
+		border-radius: 12px;
+		padding: 1.5rem;
+		cursor: pointer;
+		transition: transform 0.2s, border-color 0.2s;
+	}
+
+	.bot-card:hover {
+		transform: translateY(-2px);
+		border-color: rgba(255, 255, 255, 0.2);
+	}
+
+	.bot-card:focus {
+		outline: 2px solid #667eea;
+		outline-offset: 2px;
+	}
+
+	.bot-info {
+		margin-bottom: 1rem;
+	}
+
+	.bot-info h3 {
+		margin: 0 0 0.5rem;
+		font-size: 1.25rem;
+	}
+
+	.bot-description {
+		color: #888;
+		font-size: 0.9rem;
+		margin: 0 0 0.75rem;
+	}
+
+	.bot-status {
+		display: inline-block;
+		padding: 0.25rem 0.75rem;
+		border-radius: 9999px;
+		font-size: 0.75rem;
+		font-weight: 500;
+		text-transform: uppercase;
+	}
+
+	.status-draft {
+		background: rgba(251, 191, 36, 0.2);
+		color: #fbbf24;
+	}
+
+	.status-active {
+		background: rgba(34, 197, 94, 0.2);
+		color: #22c55e;
+	}
+
+	.status-paused {
+		background: rgba(251, 191, 36, 0.2);
+		color: #fbbf24;
+	}
+
+	.bot-actions {
+		display: flex;
+		gap: 0.75rem;
+	}
+
+	.btn {
+		padding: 0.5rem 1rem;
+		border-radius: 8px;
+		font-weight: 500;
+		font-size: 0.9rem;
+		cursor: pointer;
+		border: none;
+		transition: transform 0.2s, opacity 0.2s;
+	}
+
+	.btn-primary {
+		background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
+		color: white;
+	}
+
+	.btn-danger {
+		background: rgba(239, 68, 68, 0.2);
+		color: #fca5a5;
+		border: 1px solid rgba(239, 68, 68, 0.4);
+	}
+
+	.btn:hover {
+		transform: translateY(-2px);
+	}
+</style>

src/frontend/src/lib/components/BotSelector.svelte

@@ -0,0 +1,94 @@
+<script lang="ts">
+	import type { Bot } from '$lib/api';
+
+	interface Props {
+		bots: Bot[];
+		selectedBotId?: string | null;
+		onSelect: (botId: string) => void;
+		disabled?: boolean;
+		label?: string;
+	}
+
+	let { bots, selectedBotId = null, onSelect, disabled = false, label = 'Select Bot' }: Props = $props();
+
+	function handleChange(e: Event) {
+		const target = e.target as HTMLSelectElement;
+		onSelect(target.value);
+	}
+
+	const MAX_BOTS = 3;
+</script>
+
+<div class="bot-selector">
+	{#if label}
+		<label for="bot-select">{label}</label>
+	{/if}
+	<div class="select-wrapper">
+		<select
+			id="bot-select"
+			onchange={handleChange}
+			disabled={disabled || bots.length === 0}
+			value={selectedBotId || ''}
+		>
+			{#if bots.length === 0}
+				<option value="" disabled>No bots available</option>
+			{:else}
+				{#each bots as bot}
+					<option value={bot.id}>{bot.name}</option>
+				{/each}
+			{/if}
+		</select>
+		<span class="bot-count">{bots.length}/{MAX_BOTS}</span>
+	</div>
+</div>
+
+<style>
+	.bot-selector {
+		display: flex;
+		flex-direction: column;
+		gap: 0.5rem;
+	}
+
+	label {
+		font-size: 0.9rem;
+		color: #888;
+	}
+
+	.select-wrapper {
+		display: flex;
+		align-items: center;
+		gap: 0.75rem;
+	}
+
+	select {
+		flex: 1;
+		padding: 0.75rem 1rem;
+		border-radius: 8px;
+		border: 1px solid rgba(255, 255, 255, 0.2);
+		background: rgba(255, 255, 255, 0.05);
+		color: #fff;
+		font-size: 1rem;
+		cursor: pointer;
+		appearance: none;
+		background-image: url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='12' height='12' viewBox='0 0 12 12'%3E%3Cpath fill='%23888' d='M6 8L1 3h10z'/%3E%3C/svg%3E");
+		background-repeat: no-repeat;
+		background-position: right 1rem center;
+		padding-right: 2.5rem;
+	}
+
+	select:focus {
+		outline: none;
+		border-color: #667eea;
+	}
+
+	select:disabled {
+		opacity: 0.5;
+		cursor: not-allowed;
+	}
+
+	.bot-count {
+		font-size: 0.8rem;
+		color: #666;
+		white-space: nowrap;
+	}
+</style>

src/frontend/src/lib/components/ChatInterface.svelte

@@ -0,0 +1,300 @@
+<script lang="ts">
+	import type { Bot } from '$lib/api';
+	import type { ChatMessage } from '$lib/stores/chatStore';
+
+	interface Props {
+		bot: Bot | null;
+		messages: ChatMessage[];
+		isSending?: boolean;
+		onSendMessage: (message: string) => void;
+		onSelectBot?: (botId: string) => void;
+		availableBots?: Bot[];
+		showBotSelector?: boolean;
+	}
+
+	let {
+		bot,
+		messages,
+		isSending = false,
+		onSendMessage,
+		onSelectBot,
+		availableBots = [],
+		showBotSelector = false
+	}: Props = $props();
+
+	let messageInput = $state('');
+	let chatContainer: HTMLDivElement;
+
+	function handleSend() {
+		if (!messageInput.trim()) return;
+		onSendMessage(messageInput);
+		messageInput = '';
+	}
+
+	function handleKeydown(e: KeyboardEvent) {
+		if (e.key === 'Enter' && !e.shiftKey) {
+			e.preventDefault();
+			handleSend();
+		}
+	}
+
+	function handleBotChange(e: Event) {
+		const target = e.target as HTMLSelectElement;
+		if (onSelectBot && target.value) {
+			onSelectBot(target.value);
+		}
+	}
+
+	$effect(() => {
+		if (messages.length && chatContainer) {
+			setTimeout(() => {
+				chatContainer.scrollTop = chatContainer.scrollHeight;
+			}, 50);
+		}
+	});
+</script>
+
+<div class="chat-interface">
+	{#if showBotSelector && availableBots.length > 0}
+		<div class="bot-selector">
+			<label for="bot-select">Active Bot:</label>
+			<select id="bot-select" onchange={handleBotChange}>
+				{#each availableBots as availableBot}
+					<option value={availableBot.id} selected={availableBot.id === bot?.id}>
+						{availableBot.name}
+					</option>
+				{/each}
+			</select>
+		</div>
+	{/if}
+
+	<div class="chat-messages" bind:this={chatContainer}>
+		{#if messages.length === 0}
+			<div class="welcome-message">
+				<p>Welcome to {bot?.name || 'your bot'}! Describe your trading strategy in plain English.</p>
+				<p class="hint">Example: "Buy PEPE when the price drops by 5% within 1 hour"</p>
+			</div>
+		{/if}
+
+		{#each messages as message}
+			<div class="message {message.role}">
+				<div class="message-content">
+					{message.content}
+				</div>
+				<div class="message-time">
+					{message.timestamp.toLocaleTimeString()}
+				</div>
+			</div>
+		{/each}
+
+		{#if isSending}
+			<div class="message assistant">
+				<div class="message-content typing">
+					<span class="dot"></span>
+					<span class="dot"></span>
+					<span class="dot"></span>
+				</div>
+			</div>
+		{/if}
+	</div>
+
+	{#if bot}
+		<div class="input-container">
+			<textarea
+				bind:value={messageInput}
+				onkeydown={handleKeydown}
+				placeholder="Describe your trading strategy..."
+				rows="1"
+				disabled={isSending}
+			></textarea>
+			<button onclick={handleSend} disabled={isSending || !messageInput.trim()}>
+				Send
+			</button>
+		</div>
+	{/if}
+</div>
+
+<style>
+	.chat-interface {
+		display: flex;
+		flex-direction: column;
+		height: 100%;
+	}
+
+	.bot-selector {
+		display: flex;
+		align-items: center;
+		gap: 0.75rem;
+		padding: 0.75rem 1rem;
+		background: rgba(255, 255, 255, 0.03);
+		border-bottom: 1px solid rgba(255, 255, 255, 0.1);
+	}
+
+	.bot-selector label {
+		font-size: 0.9rem;
+		color: #888;
+	}
+
+	.bot-selector select {
+		padding: 0.5rem 0.75rem;
+		border-radius: 6px;
+		border: 1px solid rgba(255, 255, 255, 0.2);
+		background: rgba(255, 255, 255, 0.05);
+		color: #fff;
+		font-size: 0.9rem;
+		cursor: pointer;
+	}
+
+	.bot-selector select:focus {
+		outline: none;
+		border-color: #667eea;
+	}
+
+	.chat-messages {
+		flex: 1;
+		overflow-y: auto;
+		padding: 1rem;
+	}
+
+	.welcome-message {
+		text-align: center;
+		padding: 2rem;
+		color: #888;
+	}
+
+	.welcome-message .hint {
+		font-size: 0.85rem;
+		margin-top: 1rem;
+		color: #666;
+	}
+
+	.message {
+		display: flex;
+		flex-direction: column;
+		margin-bottom: 1rem;
+	}
+
+	.message.user {
+		align-items: flex-end;
+	}
+
+	.message.assistant {
+		align-items: flex-start;
+	}
+
+	.message.system {
+		align-items: center;
+	}
+
+	.message-content {
+		max-width: 70%;
+		padding: 0.75rem 1rem;
+		border-radius: 12px;
+		line-height: 1.5;
+		white-space: pre-wrap;
+		word-break: break-word;
+	}
+
+	.message.user .message-content {
+		background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
+		color: white;
+		border-bottom-right-radius: 4px;
+	}
+
+	.message.assistant .message-content {
+		background: rgba(255, 255, 255, 0.1);
+		border-bottom-left-radius: 4px;
+	}
+
+	.message.system .message-content {
+		background: rgba(251, 191, 36, 0.1);
+		color: #fbbf24;
+		font-size: 0.9rem;
+		border: 1px solid rgba(251, 191, 36, 0.3);
+	}
+
+	.message-time {
+		font-size: 0.7rem;
+		color: #666;
+		margin-top: 0.25rem;
+		padding: 0 0.5rem;
+	}
+
+	.typing {
+		display: flex;
+		gap: 4px;
+		padding: 1rem 1.25rem;
+	}
+
+	.dot {
+		width: 8px;
+		height: 8px;
+		background: #888;
+		border-radius: 50%;
+		animation: typing 1.4s infinite;
+	}
+
+	.dot:nth-child(2) {
+		animation-delay: 0.2s;
+	}
+
+	.dot:nth-child(3) {
+		animation-delay: 0.4s;
+	}
+
+	@keyframes typing {
+		0%, 60%, 100% {
+			transform: translateY(0);
+			opacity: 0.4;
+		}
+		30% {
+			transform: translateY(-4px);
+			opacity: 1;
+		}
+	}
+
+	.input-container {
+		display: flex;
+		gap: 0.75rem;
+		padding: 1rem;
+		border-top: 1px solid rgba(255, 255, 255, 0.1);
+	}
+
+	textarea {
+		flex: 1;
+		padding: 0.75rem 1rem;
+		border-radius: 12px;
+		border: 1px solid rgba(255, 255, 255, 0.2);
+		background: rgba(255, 255, 255, 0.05);
+		color: #fff;
+		font-size: 1rem;
+		resize: none;
+		font-family: inherit;
+	}
+
+	textarea:focus {
+		outline: none;
+		border-color: #667eea;
+	}
+
+	button {
+		padding: 0.75rem 1.5rem;
+		background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
+		color: white;
+		border: none;
+		border-radius: 12px;
+		font-size: 1rem;
+		font-weight: 500;
+		cursor: pointer;
+		transition: transform 0.2s;
+	}
+
+	button:hover:not(:disabled) {
+		transform: translateY(-2px);
+	}
+
+	button:disabled {
+		opacity: 0.5;
+		cursor: not-allowed;
+	}
+</style>

src/frontend/src/lib/components/ConditionBuilder.svelte

@@ -0,0 +1,348 @@
+<script lang="ts">
+	import type { Condition } from '$lib/api';
+	import TokenPicker from './TokenPicker.svelte';
+
+	interface Props {
+		conditions: Condition[];
+		onUpdate: (conditions: Condition[]) => void;
+		disabled?: boolean;
+	}
+
+	let { conditions, onUpdate, disabled = false }: Props = $props();
+
+	type ConditionType = Condition['type'];
+
+	const conditionTypes: { value: ConditionType; label: string; description: string }[] = [
+		{ value: 'price_drop', label: 'Price Drop', description: 'Trigger when price falls by X%' },
+		{ value: 'price_rise', label: 'Price Rise', description: 'Trigger when price rises by X%' },
+		{ value: 'volume_spike', label: 'Volume Spike', description: 'Trigger when volume increases by X%' },
+		{ value: 'price_level', label: 'Price Level', description: 'Trigger when price crosses a level' },
+	];
+
+	const timeframes = ['1m', '5m', '15m', '1h', '4h', '1d'];
+
+	function addCondition() {
+		const newCondition: Condition = {
+			type: 'price_drop',
+			token: '',
+			threshold: 5,
+			timeframe: '1h'
+		};
+		onUpdate([...conditions, newCondition]);
+	}
+
+	function removeCondition(index: number) {
+		onUpdate(conditions.filter((_, i) => i !== index));
+	}
+
+	function updateCondition(index: number, updates: Partial<Condition>) {
+		const updated = conditions.map((c, i) => 
+			i === index ? { ...c, ...updates } : c
+		);
+		onUpdate(updated);
+	}
+
+	function getConditionDescription(condition: Condition): string {
+		switch (condition.type) {
+			case 'price_drop':
+				return `Price drops ${condition.threshold || 0}% within ${condition.timeframe || '1h'}`;
+			case 'price_rise':
+				return `Price rises ${condition.threshold || 0}% within ${condition.timeframe || '1h'}`;
+			case 'volume_spike':
+				return `Volume spikes ${condition.threshold || 0}% within ${condition.timeframe || '1h'}`;
+			case 'price_level':
+				return `Price crosses ${condition.direction || 'above'} $${condition.price || 0}`;
+			default:
+				return 'Unknown condition';
+		}
+	}
+</script>
+
+<div class="condition-builder">
+	<div class="conditions-header">
+		<h4>Conditions</h4>
+		<button type="button" class="add-btn" onclick={addCondition} {disabled}>
+			+ Add Condition
+		</button>
+	</div>
+
+	{#if conditions.length === 0}
+		<div class="empty-state">
+			<p>No conditions set</p>
+			<p class="hint">Add a condition to define when your strategy triggers</p>
+		</div>
+	{:else}
+		<div class="conditions-list">
+			{#each conditions as condition, index}
+				<div class="condition-card">
+					<div class="condition-header">
+						<span class="condition-number">#{index + 1}</span>
+						<button 
+							type="button" 
+							class="remove-btn" 
+							onclick={() => removeCondition(index)}
+							disabled={disabled}
+							aria-label="Remove condition"
+						>
+							<svg width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2">
+								<line x1="18" y1="6" x2="6" y2="18"></line>
+								<line x1="6" y1="6" x2="18" y2="18"></line>
+							</svg>
+						</button>
+					</div>
+
+					<div class="condition-fields">
+						<div class="field">
+							<label for="type-{index}">Type</label>
+							<select
+								id="type-{index}"
+								value={condition.type}
+								onchange={(e) => updateCondition(index, { type: (e.target as HTMLSelectElement).value as ConditionType })}
+								disabled={disabled}
+							>
+								{#each conditionTypes as ct}
+									<option value={ct.value}>{ct.label}</option>
+								{/each}
+							</select>
+						</div>
+
+						<TokenPicker
+							label="Token"
+							selectedToken={condition.token}
+							selectedChain={condition.chain || ''}
+							onSelect={(token, chain) => updateCondition(index, { token, chain })}
+							disabled={disabled}
+						/>
+
+						{#if condition.type === 'price_level'}
+							<div class="field">
+								<label for="direction-{index}">Direction</label>
+								<select
+									id="direction-{index}"
+									value={condition.direction || 'above'}
+									onchange={(e) => updateCondition(index, { direction: (e.target as HTMLSelectElement).value as 'above' | 'below' })}
+									disabled={disabled}
+								>
+									<option value="above">Above</option>
+									<option value="below">Below</option>
+								</select>
+							</div>
+							<div class="field">
+								<label for="price-{index}">Price ($)</label>
+								<input
+									id="price-{index}"
+									type="number"
+									value={condition.price || ''}
+									oninput={(e) => updateCondition(index, { price: parseFloat((e.target as HTMLInputElement).value) || undefined })}
+									placeholder="0.000001"
+									step="any"
+									min="0"
+									disabled={disabled}
+								/>
+							</div>
+						{:else}
+							<div class="field">
+								<label for="threshold-{index}">Threshold (%)</label>
+								<input
+									id="threshold-{index}"
+									type="number"
+									value={condition.threshold || ''}
+									oninput={(e) => updateCondition(index, { threshold: parseFloat((e.target as HTMLInputElement).value) || undefined })}
+									placeholder="5"
+									step="any"
+									min="0"
+									disabled={disabled}
+								/>
+							</div>
+							<div class="field">
+								<label for="timeframe-{index}">Timeframe</label>
+								<select
+									id="timeframe-{index}"
+									value={condition.timeframe || '1h'}
+									onchange={(e) => updateCondition(index, { timeframe: (e.target as HTMLSelectElement).value })}
+									disabled={disabled}
+								>
+									{#each timeframes as tf}
+										<option value={tf}>{tf}</option>
+									{/each}
+								</select>
+							</div>
+						{/if}
+					</div>
+
+					<div class="condition-preview">
+						<span class="preview-label">Summary:</span>
+						{getConditionDescription(condition)}
+					</div>
+				</div>
+			{/each}
+		</div>
+	{/if}
+</div>
+
+<style>
+	.condition-builder {
+		background: rgba(255, 255, 255, 0.02);
+		border: 1px solid rgba(255, 255, 255, 0.1);
+		border-radius: 12px;
+		padding: 1rem;
+	}
+
+	.conditions-header {
+		display: flex;
+		justify-content: space-between;
+		align-items: center;
+		margin-bottom: 1rem;
+	}
+
+	h4 {
+		margin: 0;
+		font-size: 0.9rem;
+		color: #888;
+		text-transform: uppercase;
+		letter-spacing: 0.05em;
+	}
+
+	.add-btn {
+		padding: 0.5rem 1rem;
+		background: rgba(102, 126, 234, 0.2);
+		color: #667eea;
+		border: 1px solid rgba(102, 126, 234, 0.4);
+		border-radius: 6px;
+		font-size: 0.85rem;
+		font-weight: 500;
+		cursor: pointer;
+		transition: background 0.2s;
+	}
+
+	.add-btn:hover:not(:disabled) {
+		background: rgba(102, 126, 234, 0.3);
+	}
+
+	.add-btn:disabled {
+		opacity: 0.5;
+		cursor: not-allowed;
+	}
+
+	.empty-state {
+		text-align: center;
+		padding: 1.5rem;
+		color: #666;
+	}
+
+	.empty-state .hint {
+		font-size: 0.85rem;
+		margin-top: 0.5rem;
+	}
+
+	.conditions-list {
+		display: flex;
+		flex-direction: column;
+		gap: 1rem;
+	}
+
+	.condition-card {
+		background: rgba(0, 0, 0, 0.2);
+		border: 1px solid rgba(255, 255, 255, 0.05);
+		border-radius: 8px;
+		padding: 1rem;
+	}
+
+	.condition-header {
+		display: flex;
+		justify-content: space-between;
+		align-items: center;
+		margin-bottom: 1rem;
+	}
+
+	.condition-number {
+		font-size: 0.85rem;
+		font-weight: 600;
+		color: #667eea;
+	}
+
+	.remove-btn {
+		background: none;
+		border: none;
+		color: #888;
+		cursor: pointer;
+		padding: 0.25rem;
+		display: flex;
+		align-items: center;
+		justify-content: center;
+		border-radius: 4px;
+		transition: background 0.2s, color 0.2s;
+	}
+
+	.remove-btn:hover:not(:disabled) {
+		background: rgba(239, 68, 68, 0.2);
+		color: #ef4444;
+	}
+
+	.remove-btn:disabled {
+		opacity: 0.5;
+		cursor: not-allowed;
+	}
+
+	.condition-fields {
+		display: grid;
+		grid-template-columns: repeat(auto-fit, minmax(150px, 1fr));
+		gap: 0.75rem;
+		margin-bottom: 0.75rem;
+	}
+
+	.field {
+		display: flex;
+		flex-direction: column;
+		gap: 0.35rem;
+	}
+
+	.field label {
+		font-size: 0.8rem;
+		color: #888;
+	}
+
+	input,
+	select {
+		padding: 0.5rem 0.75rem;
+		border-radius: 6px;
+		border: 1px solid rgba(255, 255, 255, 0.15);
+		background: rgba(255, 255, 255, 0.05);
+		color: #fff;
+		font-size: 0.9rem;
+	}
+
+	input:focus,
+	select:focus {
+		outline: none;
+		border-color: #667eea;
+	}
+
+	input:disabled,
+	select:disabled {
+		opacity: 0.5;
+		cursor: not-allowed;
+	}
+
+	input[type="number"] {
+		-moz-appearance: textfield;
+	}
+
+	input[type="number"]::-webkit-inner-spin-button,
+	input[type="number"]::-webkit-outer-spin-button {
+		-webkit-appearance: none;
+		margin: 0;
+	}
+
+	.condition-preview {
+		padding-top: 0.75rem;
+		border-top: 1px solid rgba(255, 255, 255, 0.05);
+		font-size: 0.85rem;
+		color: #aaa;
+	}
+
+	.preview-label {
+		color: #666;
+		margin-right: 0.5rem;
+	}
+</style>

src/frontend/src/lib/components/ProUpgradeBanner.svelte

@@ -0,0 +1,121 @@
+<script lang="ts">
+	interface Props {
+		feature?: string;
+		dismissible?: boolean;
+		onDismiss?: () => void;
+	}
+
+	let { feature, dismissible = true, onDismiss }: Props = $props();
+</script>
+
+<div class="pro-upgrade-banner">
+	<div class="banner-content">
+		<div class="banner-icon">
+			<svg width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2">
+				<polygon points="12 2 15.09 8.26 22 9.27 17 14.14 18.18 21.02 12 17.77 5.82 21.02 7 14.14 2 9.27 8.91 8.26 12 2"></polygon>
+			</svg>
+		</div>
+		<div class="banner-text">
+			<strong>Upgrade to Pro</strong>
+			{#if feature}
+				<p>{feature}</p>
+			{:else}
+				<p>Unlock advanced features and unlimited bots</p>
+			{/if}
+		</div>
+		<a href="/settings" class="upgrade-btn">Upgrade Now</a>
+	</div>
+	{#if dismissible && onDismiss}
+		<button class="dismiss-btn" onclick={onDismiss} aria-label="Dismiss">
+			<svg width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2">
+				<line x1="18" y1="6" x2="6" y2="18"></line>
+				<line x1="6" y1="6" x2="18" y2="18"></line>
+			</svg>
+		</button>
+	{/if}
+</div>
+
+<style>
+	.pro-upgrade-banner {
+		position: relative;
+		display: flex;
+		align-items: center;
+		background: linear-gradient(135deg, rgba(102, 126, 234, 0.15) 0%, rgba(118, 75, 162, 0.15) 100%);
+		border: 1px solid rgba(102, 126, 234, 0.3);
+		border-radius: 12px;
+		padding: 1rem 1.5rem;
+		margin: 1rem 0;
+	}
+
+	.banner-content {
+		display: flex;
+		align-items: center;
+		gap: 1rem;
+		flex: 1;
+	}
+
+	.banner-icon {
+		display: flex;
+		align-items: center;
+		justify-content: center;
+		width: 40px;
+		height: 40px;
+		background: rgba(102, 126, 234, 0.2);
+		border-radius: 8px;
+		color: #667eea;
+	}
+
+	.banner-text {
+		flex: 1;
+	}
+
+	.banner-text strong {
+		display: block;
+		color: #fff;
+		font-size: 1rem;
+		margin-bottom: 0.25rem;
+	}
+
+	.banner-text p {
+		margin: 0;
+		font-size: 0.85rem;
+		color: #aaa;
+	}
+
+	.upgrade-btn {
+		padding: 0.5rem 1rem;
+		background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
+		color: white;
+		border-radius: 8px;
+		text-decoration: none;
+		font-weight: 500;
+		font-size: 0.9rem;
+		transition: transform 0.2s, box-shadow 0.2s;
+	}
+
+	.upgrade-btn:hover {
+		transform: translateY(-2px);
+		box-shadow: 0 4px 12px rgba(102, 126, 234, 0.4);
+	}
+
+	.dismiss-btn {
+		position: absolute;
+		top: 0.5rem;
+		right: 0.5rem;
+		background: none;
+		border: none;
+		color: #888;
+		cursor: pointer;
+		padding: 0.25rem;
+		display: flex;
+		align-items: center;
+		justify-content: center;
+		border-radius: 4px;
+		transition: background 0.2s, color 0.2s;
+	}
+
+	.dismiss-btn:hover {
+		background: rgba(255, 255, 255, 0.1);
+		color: #fff;
+	}
+</style>

src/frontend/src/lib/components/SignalChart.svelte

@@ -0,0 +1,228 @@
+<script lang="ts">
+	import type { Signal } from '$lib/api';
+
+	interface Props {
+		signals: Signal[];
+		height?: number;
+	}
+
+	let { signals, height = 200 }: Props = $props();
+
+	let width = $state(800);
+	let containerEl: HTMLDivElement;
+
+	$effect(() => {
+		if (containerEl) {
+			width = containerEl.clientWidth;
+		}
+	});
+
+	function getSignalPosition(signal: Signal, index: number, total: number): { x: number; y: number } {
+		const padding = 30;
+		const chartWidth = width - padding * 2;
+		const chartHeight = height - padding * 2;
+		const x = padding + (index / Math.max(total - 1, 1)) * chartWidth;
+		const priceRange = getPriceRange();
+		const normalizedPrice = priceRange.min === priceRange.max ? 0.5 : 
+			(signal.price - priceRange.min) / (priceRange.max - priceRange.min);
+		const y = padding + (1 - normalizedPrice) * chartHeight;
+		return { x, y };
+	}
+
+	function getPriceRange(): { min: number; max: number } {
+		if (signals.length === 0) return { min: 0, max: 1 };
+		const prices = signals.map(s => s.price);
+		const min = Math.min(...prices);
+		const max = Math.max(...prices);
+		const padding = (max - min) * 0.1 || 1;
+		return { min: min - padding, max: max + padding };
+	}
+
+	function getSignalColor(signal: Signal): string {
+		switch (signal.signal_type) {
+			case 'buy': return '#22c55e';
+			case 'sell': return '#ef4444';
+			case 'hold': return '#fbbf24';
+			default: return '#888';
+		}
+	}
+
+	function getYAxisLabels(): string[] {
+		const range = getPriceRange();
+		const step = (range.max - range.min) / 4;
+		return [
+			range.max.toFixed(6),
+			(range.max - step).toFixed(6),
+			(range.min + step).toFixed(6),
+			range.min.toFixed(6)
+		];
+	}
+
+	function getXAxisLabels(): string[] {
+		if (signals.length === 0) return [];
+		const step = Math.max(1, Math.floor(signals.length / 5));
+		const labels: string[] = [];
+		for (let i = 0; i < signals.length; i += step) {
+			labels.push(new Date(signals[i].created_at).toLocaleTimeString());
+		}
+		return labels;
+	}
+</script>
+
+<div class="signal-chart" bind:this={containerEl}>
+	{#if signals.length === 0}
+		<div class="empty-state">
+			<p>No signals to display</p>
+		</div>
+	{:else}
+		<svg {width} {height} viewBox="0 0 {width} {height}">
+			<defs>
+				<linearGradient id="chartGradient" x1="0" y1="0" x2="0" y2="1">
+					<stop offset="0%" stop-color="rgba(102, 126, 234, 0.3)" />
+					<stop offset="100%" stop-color="rgba(102, 126, 234, 0)" />
+				</linearGradient>
+			</defs>
+
+			<g class="grid-lines">
+				{#each [0, 1, 2, 3] as i}
+					{@const y = 30 + (i / 3) * (height - 60)}
+					<line 
+						x1="30" y1={y} 
+						x2={width - 30} y2={y}
+						stroke="rgba(255,255,255,0.1)"
+						stroke-dasharray="4,4"
+					/>
+				{/each}
+			</g>
+
+			<g class="y-axis">
+				{#each getYAxisLabels() as label, i}
+					{@const y = 30 + (i / 3) * (height - 60)}
+					<text x="25" y={y + 4} class="axis-label" text-anchor="end">${label}</text>
+				{/each}
+			</g>
+
+			<g class="x-axis">
+				{#each getXAxisLabels() as label, i}
+					{@const x = 30 + (i / (getXAxisLabels().length - 1 || 1)) * (width - 60)}
+					<text x={x} y={height - 8} class="axis-label" text-anchor="middle">{label}</text>
+				{/each}
+			</g>
+
+			<path
+				d={signals.map((s, i) => {
+					const pos = getSignalPosition(s, i, signals.length);
+					return `${i === 0 ? 'M' : 'L'} ${pos.x} ${pos.y}`;
+				}).join(' ')}
+				fill="none"
+				stroke="#667eea"
+				stroke-width="2"
+			/>
+
+			{#each signals as signal, i}
+				{@const pos = getSignalPosition(signal, i, signals.length)}
+				{@const color = getSignalColor(signal)}
+				<circle
+					cx={pos.x}
+					cy={pos.y}
+					r="6"
+					fill={color}
+					stroke={color}
+					stroke-width="2"
+					class="signal-dot"
+				>
+					<title>{signal.signal_type.toUpperCase()} - ${signal.price.toFixed(6)} - {new Date(signal.created_at).toLocaleString()}</title>
+				</circle>
+			{/each}
+		</svg>
+
+		<div class="legend">
+			<div class="legend-item">
+				<span class="legend-dot buy"></span>
+				<span>Buy</span>
+			</div>
+			<div class="legend-item">
+				<span class="legend-dot sell"></span>
+				<span>Sell</span>
+			</div>
+			<div class="legend-item">
+				<span class="legend-dot hold"></span>
+				<span>Hold</span>
+			</div>
+		</div>
+	{/if}
+</div>
+
+<style>
+	.signal-chart {
+		width: 100%;
+		background: rgba(255, 255, 255, 0.02);
+		border: 1px solid rgba(255, 255, 255, 0.1);
+		border-radius: 8px;
+		padding: 1rem;
+		box-sizing: border-box;
+	}
+
+	.empty-state {
+		display: flex;
+		align-items: center;
+		justify-content: center;
+		height: 200px;
+		color: #666;
+	}
+
+	svg {
+		display: block;
+		width: 100%;
+		height: auto;
+	}
+
+	.axis-label {
+		font-size: 10px;
+		fill: #666;
+	}
+
+	.signal-dot {
+		cursor: pointer;
+		transition: r 0.2s;
+	}
+
+	.signal-dot:hover {
+		r: 8;
+	}
+
+	.legend {
+		display: flex;
+		justify-content: center;
+		gap: 1.5rem;
+		margin-top: 0.75rem;
+		padding-top: 0.75rem;
+		border-top: 1px solid rgba(255, 255, 255, 0.05);
+	}
+
+	.legend-item {
+		display: flex;
+		align-items: center;
+		gap: 0.5rem;
+		font-size: 0.85rem;
+		color: #888;
+	}
+
+	.legend-dot {
+		width: 10px;
+		height: 10px;
+		border-radius: 50%;
+	}
+
+	.legend-dot.buy {
+		background: #22c55e;
+	}
+
+	.legend-dot.sell {
+		background: #ef4444;
+	}
+
+	.legend-dot.hold {
+		background: #fbbf24;
+	}
+</style>

src/frontend/src/lib/components/StrategyPreview.svelte

@@ -0,0 +1,227 @@
+<script lang="ts">
+	import type { StrategyConfig } from '$lib/api';
+
+	interface Props {
+		config: StrategyConfig | null;
+		editable?: boolean;
+		onUpdate?: (config: StrategyConfig) => void;
+	}
+
+	let { config, editable = false, onUpdate }: Props = $props();
+
+	function getConditionDescription(condition: StrategyConfig['conditions'][0]): string {
+		switch (condition.type) {
+			case 'price_drop':
+				return `${condition.token} drops by ${condition.threshold}% within ${condition.timeframe}`;
+			case 'price_rise':
+				return `${condition.token} rises by ${condition.threshold}% within ${condition.timeframe}`;
+			case 'volume_spike':
+				return `${condition.token} volume spikes by ${condition.threshold}% within ${condition.timeframe}`;
+			case 'price_level':
+				return `${condition.token} crosses ${condition.direction} $${condition.price}`;
+			default:
+				return 'Unknown condition';
+		}
+	}
+
+	function getActionDescription(action: StrategyConfig['actions'][0]): string {
+		switch (action.type) {
+			case 'buy':
+				return `Buy ${action.amount_percent}% of ${action.token || 'portfolio'}`;
+			case 'sell':
+				return `Sell ${action.amount_percent}% of ${action.token || 'portfolio'}`;
+			case 'hold':
+				return 'Hold';
+			default:
+				return 'Unknown action';
+		}
+	}
+</script>
+
+<div class="strategy-preview">
+	{#if !config || (config.conditions.length === 0 && config.actions.length === 0)}
+		<div class="empty-state">
+			<p>No strategy configured yet.</p>
+			<p class="hint">Describe your trading strategy in the chat to create one.</p>
+		</div>
+	{:else}
+		<div class="strategy-section">
+			<h4>Conditions</h4>
+			{#if config.conditions.length === 0}
+				<p class="empty">No conditions set</p>
+			{:else}
+				<ul class="items-list">
+					{#each config.conditions as condition, i}
+						<li>
+							<span class="condition-badge">{condition.type.replace('_', ' ')}</span>
+							{getConditionDescription(condition)}
+						</li>
+					{/each}
+				</ul>
+			{/if}
+		</div>
+
+		<div class="strategy-section">
+			<h4>Actions</h4>
+			{#if config.actions.length === 0}
+				<p class="empty">No actions set</p>
+			{:else}
+				<ul class="items-list">
+					{#each config.actions as action}
+						<li>
+							<span class="action-badge action-{action.type}">{action.type}</span>
+							{getActionDescription(action)}
+						</li>
+					{/each}
+				</ul>
+			{/if}
+		</div>
+
+		{#if config.risk_management}
+			<div class="strategy-section">
+				<h4>Risk Management</h4>
+				<div class="risk-items">
+					{#if config.risk_management.stop_loss_percent}
+						<div class="risk-item">
+							<span class="risk-label">Stop Loss</span>
+							<span class="risk-value negative">{config.risk_management.stop_loss_percent}%</span>
+						</div>
+					{/if}
+					{#if config.risk_management.take_profit_percent}
+						<div class="risk-item">
+							<span class="risk-label">Take Profit</span>
+							<span class="risk-value positive">{config.risk_management.take_profit_percent}%</span>
+						</div>
+					{/if}
+				</div>
+			</div>
+		{/if}
+	{/if}
+</div>
+
+<style>
+	.strategy-preview {
+		background: rgba(255, 255, 255, 0.03);
+		border: 1px solid rgba(255, 255, 255, 0.1);
+		border-radius: 8px;
+		padding: 1rem;
+	}
+
+	.empty-state {
+		text-align: center;
+		padding: 1rem;
+		color: #888;
+	}
+
+	.empty-state .hint {
+		font-size: 0.85rem;
+		color: #666;
+		margin-top: 0.5rem;
+	}
+
+	.strategy-section {
+		margin-bottom: 1rem;
+	}
+
+	.strategy-section:last-child {
+		margin-bottom: 0;
+	}
+
+	h4 {
+		font-size: 0.85rem;
+		font-weight: 600;
+		color: #888;
+		text-transform: uppercase;
+		letter-spacing: 0.05em;
+		margin: 0 0 0.75rem;
+	}
+
+	.items-list {
+		list-style: none;
+		padding: 0;
+		margin: 0;
+	}
+
+	.items-list li {
+		display: flex;
+		align-items: center;
+		gap: 0.75rem;
+		padding: 0.5rem 0;
+		font-size: 0.9rem;
+		color: #ccc;
+		border-bottom: 1px solid rgba(255, 255, 255, 0.05);
+	}
+
+	.items-list li:last-child {
+		border-bottom: none;
+	}
+
+	.condition-badge,
+	.action-badge {
+		padding: 0.2rem 0.5rem;
+		border-radius: 4px;
+		font-size: 0.75rem;
+		font-weight: 500;
+		text-transform: uppercase;
+	}
+
+	.condition-badge {
+		background: rgba(102, 126, 234, 0.2);
+		color: #667eea;
+	}
+
+	.action-badge {
+		min-width: 50px;
+		text-align: center;
+	}
+
+	.action-buy {
+		background: rgba(34, 197, 94, 0.2);
+		color: #22c55e;
+	}
+
+	.action-sell {
+		background: rgba(239, 68, 68, 0.2);
+		color: #ef4444;
+	}
+
+	.action-hold {
+		background: rgba(251, 191, 36, 0.2);
+		color: #fbbf24;
+	}
+
+	.empty {
+		color: #666;
+		font-size: 0.9rem;
+		font-style: italic;
+	}
+
+	.risk-items {
+		display: flex;
+		gap: 1.5rem;
+	}
+
+	.risk-item {
+		display: flex;
+		flex-direction: column;
+		gap: 0.25rem;
+	}
+
+	.risk-label {
+		font-size: 0.75rem;
+		color: #888;
+	}
+
+	.risk-value {
+		font-size: 1.1rem;
+		font-weight: 600;
+	}
+
+	.positive {
+		color: #22c55e;
+	}
+
+	.negative {
+		color: #ef4444;
+	}
+</style>

src/frontend/src/lib/components/TokenPicker.svelte

@@ -0,0 +1,256 @@
+<script lang="ts">
+	import { api } from '$lib/api';
+
+	interface Token {
+		symbol: string;
+		chain: string;
+		name: string;
+	}
+
+	interface Props {
+		selectedToken?: string;
+		selectedChain?: string;
+		onSelect: (token: string, chain: string) => void;
+		disabled?: boolean;
+		label?: string;
+	}
+
+	let { selectedToken = '', selectedChain = '', onSelect, disabled = false, label = 'Select Token' }: Props = $props();
+
+	let searchQuery = $state('');
+	let isOpen = $state(false);
+	let tokens = $state<Token[]>([]);
+	let isLoading = $state(false);
+	let inputEl: HTMLInputElement;
+	let containerEl: HTMLDivElement;
+
+	const commonTokens: Token[] = [
+		{ symbol: 'BTC', chain: 'btc', name: 'Bitcoin' },
+		{ symbol: 'ETH', chain: 'eth', name: 'Ethereum' },
+		{ symbol: 'BNB', chain: 'bsc', name: 'BNB' },
+		{ symbol: 'PEPE', chain: 'bsc', name: 'Pepe' },
+		{ symbol: 'SHIB', chain: 'eth', name: 'Shiba Inu' },
+		{ symbol: 'DOGE', chain: 'doge', name: 'Dogecoin' },
+		{ symbol: 'SOL', chain: 'sol', name: 'Solana' },
+		{ symbol: 'XRP', chain: 'xrp', name: 'Ripple' },
+	];
+
+	$effect(() => {
+		function handleClickOutside(event: MouseEvent) {
+			if (containerEl && !containerEl.contains(event.target as Node)) {
+				isOpen = false;
+			}
+		}
+		document.addEventListener('click', handleClickOutside);
+		return () => document.removeEventListener('click', handleClickOutside);
+	});
+
+	async function loadTokens() {
+		isLoading = true;
+		try {
+			tokens = await api.config.getTokens();
+		} catch (e) {
+			tokens = commonTokens;
+		} finally {
+			isLoading = false;
+		}
+	}
+
+	function getFilteredTokens(): Token[] {
+		const allTokens = tokens.length > 0 ? tokens : commonTokens;
+		if (!searchQuery) return allTokens.slice(0, 10);
+		const query = searchQuery.toLowerCase();
+		return allTokens.filter(
+			t => t.symbol.toLowerCase().includes(query) ||
+				t.name.toLowerCase().includes(query) ||
+				t.chain.toLowerCase().includes(query)
+		).slice(0, 10);
+	}
+
+	function handleSelect(token: Token) {
+		onSelect(token.symbol, token.chain);
+		searchQuery = '';
+		isOpen = false;
+	}
+
+	function handleInputFocus() {
+		isOpen = true;
+		if (tokens.length === 0 && !isLoading) {
+			loadTokens();
+		}
+	}
+</script>
+
+<div class="token-picker" bind:this={containerEl}>
+	{#if label}
+		<label>{label}</label>
+	{/if}
+	
+	<div class="input-wrapper">
+		<input
+			type="text"
+			bind:this={inputEl}
+			bind:value={searchQuery}
+			onfocus={handleInputFocus}
+			placeholder={selectedToken ? `${selectedToken}${selectedChain ? ` (${selectedChain})` : ''}` : 'Search tokens...'}
+			{disabled}
+			class:has-value={selectedToken}
+		/>
+		{#if selectedToken}
+			<button class="clear-btn" onclick={() => onSelect('', '')} disabled={disabled}>
+				<svg width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2">
+					<line x1="18" y1="6" x2="6" y2="18"></line>
+					<line x1="6" y1="6" x2="18" y2="18"></line>
+				</svg>
+			</button>
+		{/if}
+	</div>
+
+	{#if isOpen}
+		<div class="dropdown">
+			{#if isLoading}
+				<div class="loading">Loading tokens...</div>
+			{:else if getFilteredTokens().length === 0}
+				<div class="no-results">No tokens found</div>
+			{:else}
+				{#each getFilteredTokens() as token}
+					<button
+						class="token-option"
+						class:selected={token.symbol === selectedToken && token.chain === selectedChain}
+						onclick={() => handleSelect(token)}
+					>
+						<span class="token-symbol">{token.symbol}</span>
+						<span class="token-chain">{token.chain.toUpperCase()}</span>
+						<span class="token-name">{token.name}</span>
+					</button>
+				{/each}
+			{/if}
+		</div>
+	{/if}
+</div>
+
+<style>
+	.token-picker {
+		position: relative;
+		display: flex;
+		flex-direction: column;
+		gap: 0.5rem;
+	}
+
+	label {
+		font-size: 0.9rem;
+		color: #888;
+	}
+
+	.input-wrapper {
+		position: relative;
+	}
+
+	input {
+		width: 100%;
+		padding: 0.75rem 2.5rem 0.75rem 1rem;
+		border-radius: 8px;
+		border: 1px solid rgba(255, 255, 255, 0.2);
+		background: rgba(255, 255, 255, 0.05);
+		color: #fff;
+		font-size: 1rem;
+		box-sizing: border-box;
+	}
+
+	input:focus {
+		outline: none;
+		border-color: #667eea;
+	}
+
+	input.has-value {
+		border-color: rgba(102, 126, 234, 0.5);
+	}
+
+	input:disabled {
+		opacity: 0.5;
+		cursor: not-allowed;
+	}
+
+	.clear-btn {
+		position: absolute;
+		right: 0.75rem;
+		top: 50%;
+		transform: translateY(-50%);
+		background: none;
+		border: none;
+		color: #888;
+		cursor: pointer;
+		padding: 0.25rem;
+		display: flex;
+		align-items: center;
+		justify-content: center;
+	}
+
+	.clear-btn:hover:not(:disabled) {
+		color: #fff;
+	}
+
+	.dropdown {
+		position: absolute;
+		top: 100%;
+		left: 0;
+		right: 0;
+		margin-top: 0.5rem;
+		background: #1a1a1a;
+		border: 1px solid rgba(255, 255, 255, 0.1);
+		border-radius: 8px;
+		max-height: 250px;
+		overflow-y: auto;
+		z-index: 50;
+		box-shadow: 0 4px 12px rgba(0, 0, 0, 0.5);
+	}
+
+	.loading,
+	.no-results {
+		padding: 1rem;
+		text-align: center;
+		color: #888;
+		font-size: 0.9rem;
+	}
+
+	.token-option {
+		display: flex;
+		align-items: center;
+		gap: 0.75rem;
+		width: 100%;
+		padding: 0.75rem 1rem;
+		background: none;
+		border: none;
+		color: #fff;
+		text-align: left;
+		cursor: pointer;
+		transition: background 0.2s;
+	}
+
+	.token-option:hover {
+		background: rgba(255, 255, 255, 0.05);
+	}
+
+	.token-option.selected {
+		background: rgba(102, 126, 234, 0.2);
+	}
+
+	.token-symbol {
+		font-weight: 600;
+		min-width: 60px;
+	}
+
+	.token-chain {
+		font-size: 0.75rem;
+		padding: 0.15rem 0.4rem;
+		background: rgba(255, 255, 255, 0.1);
+		border-radius: 4px;
+		color: #888;
+	}
+
+	.token-name {
+		flex: 1;
+		color: #888;
+		font-size: 0.9rem;
+	}
+</style>

src/frontend/src/lib/components/index.ts

@@ -0,0 +1,9 @@
+export { default as ChatInterface } from './ChatInterface.svelte';
+export { default as BotCard } from './BotCard.svelte';
+export { default as BotSelector } from './BotSelector.svelte';
+export { default as StrategyPreview } from './StrategyPreview.svelte';
+export { default as SignalChart } from './SignalChart.svelte';
+export { default as BacktestChart } from './BacktestChart.svelte';
+export { default as ProUpgradeBanner } from './ProUpgradeBanner.svelte';
+export { default as TokenPicker } from './TokenPicker.svelte';
+export { default as ConditionBuilder } from './ConditionBuilder.svelte';

src/frontend/src/routes/bot/[id]/+page.svelte

@@ -4,11 +4,11 @@
 	import { goto } from '$app/navigation';
 	import { isAuthenticated, isLoading, chatStore, addMessage, setMessages, clearChat, currentBotStore, setCurrentBot } from '$lib/stores';
 	import { api } from '$lib/api';
+	import { ChatInterface, StrategyPreview, ProUpgradeBanner } from '$lib/components';
 
 	let botId = $derived($page.params.id);
-	let messageInput = $state('');
 	let isSending = $state(false);
-	let chatContainer: HTMLDivElement;
+	let showStrategy = $state(false);
 
 	onMount(async () => {
 		if (!$isAuthenticated && !$isLoading) {
@@ -34,24 +34,18 @@
 		try {
 			const history = await api.bots.getHistory(botId);
 			setMessages(history);
-			scrollToBottom();
 		} catch (e) {
 			console.error('Failed to load chat history:', e);
 		}
 	}
 
-	async function sendMessage() {
-		if (!messageInput.trim() || isSending) return;
+	async function handleSendMessage(message: string) {
+		if (isSending) return;
 		
-		const userMessage = messageInput;
-		messageInput = '';
 		isSending = true;
 
-		addMessage({ role: 'user', content: userMessage });
-		scrollToBottom();
-
 		try {
-			const response = await api.bots.chat(botId, userMessage);
+			const response = await api.bots.chat(botId, message);
 			addMessage({ role: 'assistant', content: response.response });
 			
 			if (response.strategy_config) {
@@ -62,23 +56,11 @@
 			addMessage({ role: 'assistant', content: 'Sorry, I encountered an error. Please try again.' });
 		} finally {
 			isSending = false;
-			scrollToBottom();
 		}
 	}
 
-	function scrollToBottom() {
-		setTimeout(() => {
-			if (chatContainer) {
-				chatContainer.scrollTop = chatContainer.scrollHeight;
-			}
-		}, 50);
-	}
-
-	function handleKeydown(e: KeyboardEvent) {
-		if (e.key === 'Enter' && !e.shiftKey) {
-			e.preventDefault();
-			sendMessage();
-		}
+	function toggleStrategy() {
+		showStrategy = !showStrategy;
 	}
 </script>
 
@@ -93,55 +75,32 @@
 			<h1>{$currentBotStore?.name || 'Loading...'}</h1>
 		</div>
 		<div class="header-actions">
+			{#if $currentBotStore?.strategy_config}
+				<button class="btn btn-secondary" onclick={toggleStrategy}>
+					{showStrategy ? 'Hide' : 'Show'} Strategy
+				</button>
+			{/if}
 			<a href="/bot/{botId}/backtest" class="btn btn-secondary">Backtest</a>
 			<a href="/bot/{botId}/simulate" class="btn btn-secondary">Simulate</a>
 		</div>
 	</header>
 
-	<div class="chat-container" bind:this={chatContainer}>
-		{#if $chatStore.length === 0}
-			<div class="welcome-message">
-				<p>Welcome to {$currentBotStore?.name}! Describe your trading strategy in plain English.</p>
-				<p class="hint">Example: "Buy PEPE when the price drops by 5% within 1 hour"</p>
+	{#if showStrategy && $currentBotStore?.strategy_config}
+		<div class="strategy-panel">
+			<StrategyPreview config={$currentBotStore.strategy_config} />
 		</div>
 	{/if}
 
-		{#each $chatStore as message}
-			<div class="message {message.role}">
-				<div class="message-content">
-					{message.content}
-				</div>
-				<div class="message-time">
-					{message.timestamp.toLocaleTimeString()}
-				</div>
-			</div>
-		{/each}
-
-		{#if isSending}
-			<div class="message assistant">
-				<div class="message-content typing">
-					<span class="dot"></span>
-					<span class="dot"></span>
-					<span class="dot"></span>
-				</div>
-			</div>
-		{/if}
+	<div class="chat-wrapper">
+		<ChatInterface
+			bot={$currentBotStore}
+			messages={$chatStore}
+			{isSending}
+			onSendMessage={handleSendMessage}
+		/>
 	</div>
 
-	{#if $currentBotStore}
-		<div class="input-container">
-			<textarea
-				bind:value={messageInput}
-				onkeydown={handleKeydown}
-				placeholder="Describe your trading strategy..."
-				rows="1"
-				disabled={isSending}
-			></textarea>
-			<button onclick={sendMessage} disabled={isSending || !messageInput.trim()}>
-				Send
-			</button>
-		</div>
-	{/if}
+	<ProUpgradeBanner feature="Auto-execute trades with your bot" />
 </main>
 
 <style>
@@ -217,138 +176,14 @@
 		transform: translateY(-2px);
 	}
 
-	.chat-container {
-		flex: 1;
-		overflow-y: auto;
-		padding: 1rem 0;
-	}
-
-	.welcome-message {
-		text-align: center;
-		padding: 2rem;
-		color: #888;
-	}
-
-	.welcome-message .hint {
-		font-size: 0.85rem;
-		margin-top: 1rem;
-		color: #666;
-	}
-
-	.message {
-		display: flex;
-		flex-direction: column;
+	.strategy-panel {
 		margin-bottom: 1rem;
 	}
 
-	.message.user {
-		align-items: flex-end;
-	}
-
-	.message.assistant {
-		align-items: flex-start;
-	}
-
-	.message-content {
-		max-width: 70%;
-		padding: 0.75rem 1rem;
-		border-radius: 12px;
-		line-height: 1.5;
-	}
-
-	.message.user .message-content {
-		background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
-		color: white;
-		border-bottom-right-radius: 4px;
-	}
-
-	.message.assistant .message-content {
-		background: rgba(255, 255, 255, 0.1);
-		border-bottom-left-radius: 4px;
-	}
-
-	.message-time {
-		font-size: 0.7rem;
-		color: #666;
-		margin-top: 0.25rem;
-		padding: 0 0.5rem;
-	}
-
-	.typing {
-		display: flex;
-		gap: 4px;
-		padding: 1rem 1.25rem;
-	}
-
-	.dot {
-		width: 8px;
-		height: 8px;
-		background: #888;
-		border-radius: 50%;
-		animation: typing 1.4s infinite;
-	}
-
-	.dot:nth-child(2) {
-		animation-delay: 0.2s;
-	}
-
-	.dot:nth-child(3) {
-		animation-delay: 0.4s;
-	}
-
-	@keyframes typing {
-		0%, 60%, 100% {
-			transform: translateY(0);
-			opacity: 0.4;
-		}
-		30% {
-			transform: translateY(-4px);
-			opacity: 1;
-		}
-	}
-
-	.input-container {
-		display: flex;
-		gap: 0.75rem;
-		padding-top: 1rem;
-		border-top: 1px solid rgba(255, 255, 255, 0.1);
-	}
-
-	textarea {
+	.chat-wrapper {
 		flex: 1;
-		padding: 0.75rem 1rem;
-		border-radius: 12px;
-		border: 1px solid rgba(255, 255, 255, 0.2);
-		background: rgba(255, 255, 255, 0.05);
-		color: #fff;
-		font-size: 1rem;
-		resize: none;
-		font-family: inherit;
-	}
-
-	textarea:focus {
-		outline: none;
-		border-color: #667eea;
-	}
-
-	button {
-		padding: 0.75rem 1.5rem;
-		background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
-		color: white;
-		border: none;
-		border-radius: 12px;
-		font-size: 1rem;
-		font-weight: 500;
-		cursor: pointer;
-		transition: transform 0.2s;
-	}
-
-	button:hover:not(:disabled) {
-		transform: translateY(-2px);
-	}
-
-	button:disabled {
-		opacity: 0.5;
-		cursor: not-allowed;
+		overflow: hidden;
+		display: flex;
+		flex-direction: column;
 	}
 </style>

src/frontend/src/routes/bot/[id]/backtest/+page.svelte

@@ -4,6 +4,8 @@
 	import { goto } from '$app/navigation';
 	import { isAuthenticated, isLoading, currentBotStore, setCurrentBot, backtestStore, setCurrentBacktest, addBacktestToHistory, setBacktestLoading, setBacktestError } from '$lib/stores';
 	import { api } from '$lib/api';
+	import { BacktestChart } from '$lib/components';
+	import type { Backtest } from '$lib/api';
 
 	let botId = $derived($page.params.id);
 	let token = $state('PEPE');
@@ -11,6 +13,7 @@
 	let startDate = $state('');
 	let endDate = $state('');
 	let isRunning = $state(false);
+	let selectedBacktest = $state<Backtest | null>(null);
 
 	onMount(async () => {
 		if (!$isAuthenticated && !$isLoading) {
@@ -76,6 +79,12 @@
 	function setBacktestHistory(backtests: any[]) {
 		backtestStore.update(state => ({ ...state, backtestHistory: backtests }));
 	}
+
+	function selectBacktest(backtest: Backtest) {
+		if (backtest.status === 'completed' && backtest.result) {
+			selectedBacktest = backtest;
+		}
+	}
 </script>
 
 <svelte:head>
@@ -177,6 +186,16 @@
 				</div>
 			{/if}
 		</section>
+
+		{#if selectedBacktest}
+			<section class="chart-section">
+				<div class="chart-header">
+					<h2>Portfolio Performance</h2>
+					<button class="close-btn" onclick={() => selectedBacktest = null}>×</button>
+				</div>
+				<BacktestChart results={selectedBacktest.result} />
+			</section>
+		{/if}
 	</div>
 </main>
 
@@ -388,4 +407,36 @@
 		color: #fca5a5;
 		border: 1px solid rgba(239, 68, 68, 0.4);
 	}
+
+	.chart-section {
+		padding: 1.5rem;
+	}
+
+	.chart-header {
+		display: flex;
+		justify-content: space-between;
+		align-items: center;
+		margin-bottom: 1rem;
+	}
+
+	.chart-header h2 {
+		margin: 0;
+	}
+
+	.close-btn {
+		width: auto;
+		padding: 0.25rem 0.75rem;
+		background: rgba(255, 255, 255, 0.1);
+		border: none;
+		color: #888;
+		font-size: 1.5rem;
+		line-height: 1;
+		cursor: pointer;
+		border-radius: 4px;
+	}
+
+	.close-btn:hover {
+		background: rgba(255, 255, 255, 0.2);
+		color: #fff;
+	}
 </style>

src/frontend/src/routes/bot/[id]/simulate/+page.svelte

@@ -4,6 +4,7 @@
 	import { goto } from '$app/navigation';
 	import { isAuthenticated, isLoading, currentBotStore, setCurrentBot, simulationStore, setCurrentSimulation, addSignals, clearSignals, setSimulationLoading, setSimulationError } from '$lib/stores';
 	import { api } from '$lib/api';
+	import { SignalChart, ProUpgradeBanner } from '$lib/components';
 
 	let botId = $derived($page.params.id);
 	let token = $state('PEPE');
@@ -142,12 +143,16 @@
 			</form>
 		</section>
 
+		<ProUpgradeBanner feature="Real-time WebSocket signals for instant trading decisions" />
+
 		<section class="signals-section">
 			<h2>Signals ({$simulationStore.signals.length})</h2>
 			
 			{#if $simulationStore.signals.length === 0}
 				<p class="empty-state">No signals yet. Start a simulation to see trading signals.</p>
 			{:else}
+				<SignalChart signals={$simulationStore.signals} height={200} />
+				
 				<div class="signals-list">
 					{#each $simulationStore.signals as signal}
 						<div class="signal-card">

src/frontend/src/routes/dashboard/+page.svelte

@@ -3,6 +3,7 @@
 	import { goto } from '$app/navigation';
 	import { isAuthenticated, isLoading, botsStore, setBots, addBot, removeBot, userStore, logout } from '$lib/stores';
 	import { api } from '$lib/api';
+	import { BotCard } from '$lib/components';
 
 	let showCreateModal = $state(false);
 	let newBotName = $state('');
@@ -30,7 +31,7 @@
 	}
 
 	async function createBot() {
-		if (!$newBotName.trim()) return;
+		if (!newBotName.trim()) return;
 		createError = '';
 		isCreating = true;
 		try {
@@ -95,19 +96,7 @@
 		{:else}
 			<div class="bots-grid">
 				{#each $botsStore as bot}
-					<div class="bot-card">
-						<div class="bot-info">
-							<h3>{bot.name}</h3>
-							{#if bot.description}
-								<p class="bot-description">{bot.description}</p>
-							{/if}
-							<span class="bot-status status-{bot.status}">{bot.status}</span>
-						</div>
-						<div class="bot-actions">
-							<a href="/bot/{bot.id}" class="btn btn-primary">Open</a>
-							<button onclick={() => deleteBot(bot.id)} class="btn btn-danger">Delete</button>
-						</div>
-					</div>
+					<BotCard {bot} onOpen={(id) => goto(`/bot/${id}`)} onDelete={deleteBot} />
 				{/each}
 			</div>
 		{/if}
@@ -201,57 +190,6 @@
 		gap: 1.5rem;
 	}
 
-	.bot-card {
-		background: rgba(255, 255, 255, 0.05);
-		border: 1px solid rgba(255, 255, 255, 0.1);
-		border-radius: 12px;
-		padding: 1.5rem;
-	}
-
-	.bot-info {
-		margin-bottom: 1rem;
-	}
-
-	.bot-info h3 {
-		margin: 0 0 0.5rem;
-		font-size: 1.25rem;
-	}
-
-	.bot-description {
-		color: #888;
-		font-size: 0.9rem;
-		margin: 0 0 0.75rem;
-	}
-
-	.bot-status {
-		display: inline-block;
-		padding: 0.25rem 0.75rem;
-		border-radius: 9999px;
-		font-size: 0.75rem;
-		font-weight: 500;
-		text-transform: uppercase;
-	}
-
-	.status-draft {
-		background: rgba(251, 191, 36, 0.2);
-		color: #fbbf24;
-	}
-
-	.status-active {
-		background: rgba(34, 197, 94, 0.2);
-		color: #22c55e;
-	}
-
-	.status-paused {
-		background: rgba(251, 191, 36, 0.2);
-		color: #fbbf24;
-	}
-
-	.bot-actions {
-		display: flex;
-		gap: 0.75rem;
-	}
-
 	.btn {
 		padding: 0.5rem 1rem;
 		border-radius: 8px;
@@ -274,12 +212,6 @@
 		border: 1px solid rgba(255, 255, 255, 0.2);
 	}
 
-	.btn-danger {
-		background: rgba(239, 68, 68, 0.2);
-		color: #fca5a5;
-		border: 1px solid rgba(239, 68, 68, 0.4);
-	}
-
 	.btn:hover {
 		transform: translateY(-2px);
 	}