diff --git a/cow-trader/.python-version b/cow-trader/.python-version index 2c07333..c8cfe39 100644 --- a/cow-trader/.python-version +++ b/cow-trader/.python-version @@ -1 +1 @@ -3.11 +3.10 diff --git a/cow-trader/README.md b/cow-trader/README.md index c03d8d2..a76a6a1 100644 --- a/cow-trader/README.md +++ b/cow-trader/README.md @@ -2,7 +2,23 @@ Automated CoW Swap trading agent built with Silverback SDK -## Run +## Getting Started + +This project utilises uv, see [docs](https://docs.astral.sh/uv/getting-started/) for installation. + +Create venv and install dependencies: + +```bash +uv sync --all-extras --dev +``` + +Install all Ape framework plugins: + +```bash +ape plugins install . +``` + +## Run Silverback Bot ```bash silverback run --network gnosis:mainnet:alchemy --account cow-agent diff --git a/cow-trader/bot.py b/cow-trader/bot.py index 7a46a63..aaeacef 100644 --- a/cow-trader/bot.py +++ b/cow-trader/bot.py @@ -3,7 +3,7 @@ import os from dataclasses import dataclass from pathlib import Path -from typing import Dict, List +from typing import Annotated, Dict, List import click import numpy as np @@ -16,6 +16,7 @@ from pydantic import BaseModel from pydantic_ai import Agent, RunContext from silverback import SilverbackBot, StateSnapshot +from taskiq import Context, TaskiqDepends, TaskiqState # Initialize bot bot = SilverbackBot() @@ -230,11 +231,11 @@ def get_token_name(address: str) -> str: raise -@trading_agent.tool_plain(retries=3) -def get_eligible_buy_tokens(ctx: AgentDependencies) -> List[str]: +@trading_agent.tool(retries=3) +def get_eligible_buy_tokens(ctx: RunContext[AgentDependencies]) -> List[str]: """Return a list of tokens eligible for purchase (excluding the sell token).""" try: - sell_token = ctx.sell_token + sell_token = ctx.deps.sell_token return [token for token in MONITORED_TOKENS if token != sell_token] except Exception as e: print(f"[get_eligible_buy_tokens] failed with error: {e}") @@ -304,11 +305,10 @@ def _get_token_balances() -> Dict[str, int]: return {token_address: balance for token_address, balance in zip(MONITORED_TOKENS, results)} -def _create_trade_context(lookback_blocks: int = 15000) -> TradeContext: +def _create_trade_context( + trades_df: pd.DataFrame, decisions_df: pd.DataFrame, lookback_blocks: int = 15000 +) -> TradeContext: """Create TradeContext with all required data""" - trades_df = _load_trades_db() - decisions_df = _load_decisions_db() - prior_decisions = decisions_df.tail(3).copy() prior_decisions["metrics_snapshot"] = prior_decisions["metrics_snapshot"].apply(json.loads) @@ -383,10 +383,10 @@ def _save_decision(decision: AgentDecision) -> pd.DataFrame: return decisions_df -def _update_latest_decision_outcome(final_price: float) -> pd.DataFrame: +def _update_latest_decision_outcome( + decisions_df: pd.DataFrame, final_price: float | None = None +) -> pd.DataFrame: """Update most recent decision with outcome data""" - decisions_df = _load_decisions_db() - if decisions_df.empty: return decisions_df @@ -394,21 +394,25 @@ def _update_latest_decision_outcome(final_price: float) -> pd.DataFrame: latest_decision = decisions_df.iloc[-1] if latest_decision.should_trade: - metrics = json.loads(latest_decision.metrics_snapshot) - initial_price = next( - m["last_price"] - for m in metrics - if m["token_a"] == latest_decision.sell_token - and m["token_b"] == latest_decision.buy_token - ) + if final_price is None: + return decisions_df + else: + metrics = json.loads(latest_decision.metrics_snapshot) + initial_price = next( + m["last_price"] + for m in metrics + if m["token_a"] == latest_decision.sell_token + and m["token_b"] == latest_decision.buy_token + ) - profitable = ( - final_price > initial_price - if latest_decision.sell_token == metrics[0]["token_a"] - else final_price < initial_price - ) + profitable = ( + final_price > initial_price + if latest_decision.sell_token == metrics[0]["token_a"] + else final_price < initial_price + ) + + decisions_df.loc[latest_idx, "profitable"] = int(profitable) - decisions_df.loc[latest_idx, "profitable"] = profitable _save_decisions_db(decisions_df) return decisions_df @@ -452,20 +456,20 @@ def _save_trades_db(trades_dict: Dict) -> None: df.to_csv(TRADE_FILEPATH, index=False) -def _load_block_db() -> Dict: +def _load_block_db() -> int: """Load the last processed block from CSV file or create new if doesn't exist""" df = ( pd.read_csv(BLOCK_FILEPATH) if os.path.exists(BLOCK_FILEPATH) else pd.DataFrame({"last_processed_block": [START_BLOCK]}) ) - return {"last_processed_block": df["last_processed_block"].iloc[0]} + return df["last_processed_block"].iloc[0] -def _save_block_db(data: Dict): +def _save_block_db(block_number: int) -> None: """Save the last processed block to CSV file""" os.makedirs(os.path.dirname(BLOCK_FILEPATH), exist_ok=True) - df = pd.DataFrame([data]) + df = pd.DataFrame({"last_processed_block": [block_number]}) df.to_csv(BLOCK_FILEPATH, index=False) @@ -783,17 +787,17 @@ def bot_startup(startup_state: StateSnapshot): if PROMPT_AUTOSIGN and click.confirm("Enable autosign?"): bot.signer.set_autosign(enabled=True) + # Process historical trades block_db = _load_block_db() - last_processed_block = block_db["last_processed_block"] - _save_block_db({"last_processed_block": chain.blocks.head.number}) - + last_processed_block = block_db + _save_block_db(chain.blocks.head.number) _process_historical_trades( GPV2_SETTLEMENT_CONTRACT, start_block=last_processed_block, stop_block=chain.blocks.head.number, ) - bot.state.agent = trading_agent + # Initialize bot state decisions_df = _load_decisions_db() if decisions_df.empty: @@ -801,77 +805,165 @@ def bot_startup(startup_state: StateSnapshot): else: bot.state.next_decision_block = decisions_df.iloc[-1].block_number + TRADING_BLOCK_COOLDOWN + bot.state.can_trade = False + bot.state.sell_token = None + return {"message": "Starting...", "block_number": startup_state.last_block_seen} -@bot.on_(chain.blocks) -def exec_block(block: BlockAPI): - """Execute block handler with structured decision flow""" - _save_block_db({"last_processed_block": block.number}) +@bot.on_worker_startup() +def worker_startup(state: TaskiqState): + """Initialize worker state""" + state.agent = trading_agent + state.trades_df = _load_trades_db() + state.decisions_df = _load_decisions_db() - if (bot.state.next_decision_block - block.number) <= 5: - _catch_up_trades( - current_block=block.number, next_decision_block=bot.state.next_decision_block - ) - decisions_df = _load_decisions_db() +@bot.on_(chain.blocks) +def update_state(block: BlockAPI, context: Annotated[Context, TaskiqDepends()]): + """Update trade history and decision outcomes""" + click.echo(f"\n[{block.number}] Starting state update...") + _save_block_db(block.number) + bot.state.can_trade = False + click.echo(f"[{block.number}] State: trade={bot.state.can_trade}, sell={bot.state.sell_token}") + + if block.number < bot.state.next_decision_block: + click.echo(f"[{block.number}] Skip - next decision at {bot.state.next_decision_block}") + return {"message": "Skipped - before cooldown", "block": block.number} + + click.echo(f"[{block.number}] Past cooldown, catching up trades...") + _catch_up_trades(current_block=block.number, next_decision_block=bot.state.next_decision_block) + + bot.state.sell_token = _select_sell_token() + click.echo(f"[{block.number}] Sell token: {bot.state.sell_token}") + + if not bot.state.sell_token: + click.echo(f"[{block.number}] No eligible sell tokens found") + return {"message": "No eligible sell tokens", "block": block.number} + + if context.state.decisions_df.empty: + click.echo(f"[{block.number}] No previous decisions, enabling trading") + bot.state.can_trade = True + return {"message": "No previous decisions", "can_trade": True} + + latest_decision = context.state.decisions_df.iloc[-1] + msg = ( + f"[{block.number}] Latest: " + f"trade={latest_decision.should_trade}, " + f"block={latest_decision.block_number}" + ) + click.echo(msg) - if decisions_df.empty: - should_trade = True - latest_decision = None - else: - latest_decision = decisions_df.iloc[-1] - should_trade = block.number - latest_decision.block_number >= TRADING_BLOCK_COOLDOWN + if not latest_decision.should_trade: + click.echo(f"[{block.number}] Last decision wasn't a trade, enabling trading") + bot.state.can_trade = True + return { + "message": "Last decision was not a trade", + "can_trade": True, + "last_decision_block": latest_decision.block_number, + } - if not should_trade: - return + click.echo(f"[{block.number}] Creating trade context for outcome update...") + trade_ctx = _create_trade_context( + trades_df=context.state.trades_df, decisions_df=context.state.decisions_df + ) - trade_ctx = _create_trade_context() + matching_metrics = [ + m.last_price + for m in trade_ctx.metrics + if m.token_a == latest_decision.sell_token and m.token_b == latest_decision.buy_token + ] - if latest_decision is not None and latest_decision.should_trade: - _update_latest_decision_outcome( - final_price=next( - m.last_price - for m in trade_ctx.metrics - if m.token_a == latest_decision.sell_token - and m.token_b == latest_decision.buy_token - ) + if not matching_metrics: + click.echo( + f"[{block.number}] No metrics {latest_decision.sell_token}-{latest_decision.buy_token}" ) + context.state.decisions_df = _update_latest_decision_outcome( + decisions_df=context.state.decisions_df, + final_price=None, + ) + bot.state.can_trade = True + return { + "message": "Marked as unknown outcome", + "block": block.number, + "can_trade": True, + } + + click.echo(f"[{block.number}] Updating previous decision outcome...") + context.state.decisions_df = _update_latest_decision_outcome( + decisions_df=context.state.decisions_df, final_price=matching_metrics[0] + ) + + bot.state.can_trade = True + click.echo(f"[{block.number}] State: trade={bot.state.can_trade}, sell={bot.state.sell_token}") + return { + "message": "Updated previous decision outcome", + "can_trade": True, + "last_decision_block": latest_decision.block_number, + } + - sell_token = _select_sell_token() - deps = AgentDependencies(trade_ctx=trade_ctx, sell_token=sell_token) +@bot.on_(chain.blocks) +def make_trading_decision(block: BlockAPI, context: Annotated[Context, TaskiqDepends()]): + """Make and execute trading decisions""" + click.echo(f"\n[{block.number}] Starting trading decision...") + click.echo(f"[{block.number}] State: trade={bot.state.can_trade}, sell={bot.state.sell_token}") + + if not bot.state.can_trade: + click.echo(f"[{block.number}] Trading not enabled, skipping") + return {"message": "Trading not enabled", "block": block.number} + + click.echo(f"[{block.number}] Creating trade context...") + trade_ctx = _create_trade_context( + trades_df=context.state.trades_df, decisions_df=context.state.decisions_df + ) + + click.echo(f"[{block.number}] Running agent with sell_token={bot.state.sell_token}...") + deps = AgentDependencies(trade_ctx=trade_ctx, sell_token=bot.state.sell_token) loop = asyncio.new_event_loop() asyncio.set_event_loop(loop) - try: - result = bot.state.agent.run_sync( - "Analyze current market conditions and make a trading decision", deps=deps - ) - except Exception as e: - click.echo(f"Anthropic API error at block {block.number}: {str(e)}") - return + result = context.state.agent.run_sync( + "Analyze current market conditions and make a trading decision", deps=deps + ) + click.echo( + f"[{block.number}] Agent: trade={result.data.should_trade}, buy={result.data.buy_token}" + ) _save_reasoning(block.number, result.data.reasoning) decision = _build_decision( block_number=block.number, response=result.data, metrics=trade_ctx.metrics, - sell_token=sell_token, + sell_token=bot.state.sell_token, ) decision.valid = _validate_decision(decision) + click.echo(f"[{block.number}] Decision valid={decision.valid}") _save_decision(decision) - bot.state.next_decision_block = block.number + TRADING_BLOCK_COOLDOWN - if decision.valid: + if decision.valid and decision.should_trade: + click.echo(f"[{block.number}] Order: {decision.sell_token} -> {decision.buy_token}") order_uid, error = create_submit_and_sign_order( sell_token=decision.sell_token, buy_token=decision.buy_token, sell_amount=trade_ctx.token_balances[decision.sell_token], ) if error: - click.echo(f"Order failed: {error}") + click.echo(f"[{block.number}] Order failed: {error}") else: - click.echo(f"Order submitted successfully. UID: {order_uid}") + click.echo(f"[{block.number}] Order: {order_uid}") + + bot.state.next_decision_block = block.number + TRADING_BLOCK_COOLDOWN + click.echo(f"[{block.number}] Next decision: {bot.state.next_decision_block}") + + return { + "message": "Trading decision made", + "block": block.number, + "should_trade": decision.should_trade, + "sell_token": decision.sell_token, + "buy_token": decision.buy_token, + "next_decision_block": bot.state.next_decision_block, + } diff --git a/cow-trader/pyproject.toml b/cow-trader/pyproject.toml index fd676c7..81e790b 100644 --- a/cow-trader/pyproject.toml +++ b/cow-trader/pyproject.toml @@ -3,7 +3,7 @@ name = "cow-agent" version = "0.1.0" description = "Automated CoW Swap trading agent built with Silverback SDK" readme = "README.md" -requires-python = ">=3.11" +requires-python = ">=3.10,<3.11" dependencies = ["eth-ape>=0.8.25", "pydantic-ai>=0.0.23", "silverback>=0.7.0"] [tool.uv] @@ -11,7 +11,7 @@ dev-dependencies = ["pre-commit>=4.0.1", "ruff>=0.9.1"] [tool.ruff] line-length = 100 -target-version = "py311" +target-version = "py310" [tool.ruff.lint] select = [ diff --git a/cow-trader/system_prompt.txt b/cow-trader/system_prompt.txt index c3e4fc6..2c9bcf9 100644 --- a/cow-trader/system_prompt.txt +++ b/cow-trader/system_prompt.txt @@ -2,6 +2,8 @@ You are a skilled discretionary trader that operates on CoW Swap. You are prepared to take on risk when you believe you have identified an entry that offers a good opportunity. +You are making lots of decisions on short timeframes, however, we should have a longer term mindset. + You understand that trading is about finding opportunities where you can make money while carefully protecting yourself from big losses. You appreciate that trading is nuanced, and that it is about: @@ -38,6 +40,12 @@ CONTEXT ACCESS: • max_up_streak: The longest consecutive streak of upward price moves. • max_down_streak: The longest consecutive streak of downward price moves. - prior_decisions: A record of previous trading decisions and their outcomes. + • sell_token: The token you sold. + • buy_token: The token you bought. + • block_number: The block number of the trade. + • metrics_snapshot: A snapshot of the metrics at the time of the trade. + • profitable: 0 if not profitable, 1 if profitable, 2 if unknown outcome. Unknow outcomes occur for insufficient trading on the pair in the lookback period of 15000 blocks. + • valid: If the decision was valid. - get_sell_token(): Returns the token you currently hold and can sell. AVAILABLE TOOLS: @@ -54,6 +62,8 @@ TRADING RULES: - Buying a stablecoin preserves USD value. 2. Decision making: - Use the provided metrics to assess market conditions. + - Do not trade in and out of a token frequently when market conditions have not considerably changed. You want a cohesive plan over multiple decision cycles (prior_decisions). + - When data invalidates your prior_decisions, it is okay to trade. - Consider the profitability of prior decisions. - If trading, select a buy_token from get_eligible_buy_tokens(). - If not trading, return None for buy_token. diff --git a/cow-trader/uv.lock b/cow-trader/uv.lock index 1d7fb88..47da899 100644 --- a/cow-trader/uv.lock +++ b/cow-trader/uv.lock @@ -1,83 +1,52 @@ version = 1 -requires-python = ">=3.11" +requires-python = "==3.10.*" resolution-markers = [ - "python_full_version < '3.12' and implementation_name == 'cpython'", - "python_full_version < '3.12' and implementation_name == 'pypy'", - "python_full_version < '3.12' and implementation_name != 'cpython' and implementation_name != 'pypy'", - "python_full_version >= '3.12' and implementation_name == 'cpython'", - "python_full_version >= '3.12' and implementation_name == 'pypy'", - "python_full_version >= '3.12' and implementation_name != 'cpython' 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