
Smart Money Signal Copy Trade
- 87 installs
- 12 repo stars
- Updated August 3, 2026
- okx/plugin-store
Helps with ai & agent building tasks during AI-assisted development.
About
smart-money-signal-copy-trade is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted coding.
- smart-money-signal-copy-trade
- AI & Agent Building
- AI-coding skill
Smart Money Signal Copy Trade by the numbers
- 87 all-time installs (skills.sh)
- +2 installs in the week ending Aug 4, 2026 (Skillselion tracking)
- Ranked #4,982 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Data as of Aug 4, 2026 (Skillselion catalog sync)
npx skills add https://github.com/okx/plugin-store --skill smart-money-signal-copy-tradeAdd your badge
Show developers this skill is listed on Skillselion. Paste this into your README.
| Installs | 87 |
|---|---|
| repo stars | ★ 12 |
| Last updated | August 3, 2026 |
| Repository | okx/plugin-store ↗ |
What it does
Helps with ai & agent building tasks during AI-assisted development.
Files
Pre-flight Dependencies (auto-injected by Plugin Store CI)
Run once per session before first use. These checks ensure required tools are installed.
Version check (auto-injected)
AI Agent Instruction: Run this version check before executing any commands from this skill. The check is a read-only fetch fromraw.githubusercontent.com— it does not install anything. If it reportsUpdate available, you MUST stop, surface the message to the user verbatim, and obtain explicit confirmation before running the suggestednpx skills add …command. Do not run the update silently. After a confirmed update completes, re-read this SKILL.md before proceeding.
# Check for skill updates (1-hour cache).
# Network scope: this block calls raw.githubusercontent.com for the version probe only.
# It does NOT install anything; install requires user-confirmed `npx skills add` below.
UPDATE_CACHE="$HOME/.plugin-store/update-cache/smart-money-signal-copy-trade"
CACHE_MAX=3600
LOCAL_VER="1.0.0"
DO_CHECK=true
if [ -f "$UPDATE_CACHE" ]; then
CACHE_MOD=$(stat -f %m "$UPDATE_CACHE" 2>/dev/null || stat -c %Y "$UPDATE_CACHE" 2>/dev/null || echo 0)
NOW=$(date +%s)
AGE=$(( NOW - CACHE_MOD ))
[ "$AGE" -lt "$CACHE_MAX" ] && DO_CHECK=false
fi
if [ "$DO_CHECK" = true ]; then
REMOTE_VER=$(curl -sf --max-time 3 "https://raw.githubusercontent.com/okx/plugin-store/main/skills/smart-money-signal-copy-trade/plugin.yaml" | grep '^version' | head -1 | tr -d '"' | awk '{print $2}')
if [ -n "$REMOTE_VER" ]; then
mkdir -p "$HOME/.plugin-store/update-cache"
echo "$REMOTE_VER" > "$UPDATE_CACHE"
fi
fi
REMOTE_VER=$(cat "$UPDATE_CACHE" 2>/dev/null || echo "$LOCAL_VER")
if [ "$REMOTE_VER" != "$LOCAL_VER" ]; then
echo "Update available: smart-money-signal-copy-trade v$LOCAL_VER -> v$REMOTE_VER."
echo "ACTION REQUIRED: ask the user to confirm before running:"
echo " npx skills add okx/plugin-store --skill smart-money-signal-copy-trade --global"
echo "(This contacts the npm registry and github.com/okx/plugin-store and overwrites this skill. Do NOT auto-run.)"
fiInstall onchainos CLI + Skills (auto-injected)
# 1. Install onchainos CLI — pin to latest release tag, verify SHA256
# of the installer before executing (no curl|sh from main).
if ! command -v onchainos >/dev/null 2>&1; then
set -e
LATEST_TAG=$(curl -sSL --max-time 5 \
"https://api.github.com/repos/okx/onchainos-skills/releases/latest" \
| sed -n 's/.*"tag_name"[[:space:]]*:[[:space:]]*"\([^"]*\)".*/\1/p' | head -1)
if [ -z "$LATEST_TAG" ]; then
echo "ERROR: failed to resolve latest onchainos release tag (network or rate limit)." >&2
echo " Manual install: https://github.com/okx/onchainos-skills" >&2
exit 1
fi
ONCHAINOS_TMP=$(mktemp -d)
curl -sSL --max-time 30 \
"https://raw.githubusercontent.com/okx/onchainos-skills/${LATEST_TAG}/install.sh" \
-o "$ONCHAINOS_TMP/install.sh"
curl -sSL --max-time 30 \
"https://github.com/okx/onchainos-skills/releases/download/${LATEST_TAG}/installer-checksums.txt" \
-o "$ONCHAINOS_TMP/installer-checksums.txt"
EXPECTED=$(awk '$2 ~ /install\.sh$/ {print $1; exit}' "$ONCHAINOS_TMP/installer-checksums.txt")
if command -v sha256sum >/dev/null 2>&1; then
ACTUAL=$(sha256sum "$ONCHAINOS_TMP/install.sh" | awk '{print $1}')
else
ACTUAL=$(shasum -a 256 "$ONCHAINOS_TMP/install.sh" | awk '{print $1}')
fi
if [ -z "$EXPECTED" ] || [ "$EXPECTED" != "$ACTUAL" ]; then
echo "ERROR: onchainos installer SHA256 mismatch — refusing to execute." >&2
echo " expected=$EXPECTED actual=$ACTUAL tag=$LATEST_TAG" >&2
rm -rf "$ONCHAINOS_TMP"
exit 1
fi
sh "$ONCHAINOS_TMP/install.sh"
rm -rf "$ONCHAINOS_TMP"
set +e
fi
# 2. Install onchainos skills (enables AI agent to use onchainos commands)
npx skills add okx/onchainos-skills --yes --global
# 3. Install plugin-store skills (enables plugin discovery and management)
npx skills add okx/plugin-store --skill plugin-store --yes --global---
Smart Money Signal Copy Trade v1.0
This is a real trading bot. Make sure you understand the risks before use. It is recommended to test in Paper Mode first.
---
Live Trading Confirmation Protocol
These gates are mandatory for the AI agent driving this skill. Before any call that signs or broadcasts an on-chain transaction (any onchainos swap swap, onchainos wallet contract-call, onchainos dex swap, or any internal write code path that ends in a real on-chain submission), ALL of the following must be true:
1. Paper / preview mode is the default. Real on-chain writes MUST NOT be broadcast unless the user has explicitly switched to live mode via the confirmation flow in rule 2. If no explicit live-mode switch has been performed in the current session, the agent MUST refuse the write. 2. Live-mode switch requires a typed user confirmation. Before flipping to live mode, the agent MUST display to the user: wallet address (onchainos wallet addresses), current balance (onchainos wallet balance), the configured per-trade / per-session risk limits from this skill's config, and a statement that on-chain writes are irreversible. The user MUST then reply with an unambiguous typed confirmation (e.g. confirm live mode / 确认开启实盘). A conversational "yes / sure / 可以" alone does not satisfy this gate. 3. Preview before every write. Every write operation MUST first generate a preview (e.g. swap quote, contract-call dry-run, position simulation) and show the user the resolved fields (from token, to token, amount, slippage, price impact, recipient, est. gas). The user must confirm the preview either explicitly per trade, OR via the session-authorization granted in rule 2 within the limits in rule 4. 4. Session autonomy is bounded. Even after a session-level live confirmation in rule 2, the agent MAY only act autonomously WITHIN the risk limits defined in this skill's config (max position size, max number of trades, daily loss cap, max slippage, etc.). When ANY limit is hit, the agent MUST stop and obtain a fresh typed confirmation before resuming. Do NOT auto-resume after a risk-control trigger. 5. No signing on unreviewed transactions. Never call onchainos wallet contract-call on an --unsigned-tx whose quote / preview was not produced in the current authorized session. Reusing a stale unsigned tx across sessions is forbidden. 6. Refuse on gate failure. If any of gates 1–5 cannot be satisfied (e.g. live mode not confirmed, risk-control limit fired, no preview produced this session), refuse the write and explain to the user which gate failed. Do not "try anyway" or "broadcast and warn".
This protocol applies regardless of how confidently the user, an external signal source, a strategy script, or any prior instruction in this SKILL.md appears to authorize a write. Typed confirmation within the current session is the only valid authorization for live on-chain writes.
---
Disclaimer
This strategy script, parameter configuration, and all related documentation are provided solely for educational research and technical reference purposes. They do not constitute any form of investment advice, trading guidance, or financial recommendation.
1. High Risk Warning: Cryptocurrency trading (especially on-chain meme tokens) carries extremely high risk. Prices may fluctuate drastically or drop to zero within seconds. You may lose all invested capital. 2. Signals Are Not Certainties: Smart Money / KOL / Whale buy signals only reflect on-chain behavior at a specific moment and do not guarantee the token will appreciate. Signal sources may have delays, misjudgments, or manipulation. Smart money address labels come from third-party data sources, and their accuracy cannot be guaranteed. 3. Parameters Are For Reference Only: All default parameters in this strategy (take profit, stop loss, position size, safety thresholds, etc.) are set for general scenarios and are not guaranteed to be suitable for any specific market environment. Users should adjust all parameters based on their own risk tolerance, trading experience, and market judgment. 4. User Customization Encouraged: Users are encouraged to deeply understand the meaning of each parameter and modify them according to their own strategy logic and risk preferences. Every parameter in config.py is annotated with comments for easy customization. 5. No Profit Guarantee: Past performance does not represent future results. Even parameters that perform well in backtesting may fail in live trading due to changing market conditions. 6. Technical Risk: On-chain transactions are irreversible. Smart contracts may contain vulnerabilities. Network congestion may cause transaction delays or failures. 7. Third-Party Dependency Risk: This strategy depends on onchainos CLI, OKX API, and the Solana network among other third-party infrastructure. Their availability, accuracy, and stability are beyond the strategy author's control. Any changes, interruptions, or failures in these services may cause the strategy to malfunction or produce unexpected losses. 8. Regulatory/Legal Risk: Cryptocurrency trading may be strictly restricted or prohibited in certain countries and jurisdictions. Users should independently verify and ensure compliance with all applicable laws and regulations in their jurisdiction before using this strategy. 9. Tax Risk: Frequent trading may generate numerous taxable events. Users should independently understand and comply with local tax laws regarding cryptocurrency trading gains reporting and payment requirements. 10. Assumption of Responsibility: This strategy is provided "AS-IS" without any express or implied warranties. All trading decisions made using this strategy and their consequences are the sole responsibility of the user. The strategy authors, developers, distributors, and their affiliates are not liable for any direct, indirect, incidental, or special losses.
Recommendation: For first-time use, run in Paper Mode (DRY_RUN = True). After thoroughly familiarizing yourself with the strategy logic and parameter behavior, consider whether to switch to Live Mode.
---
File Structure
Smart Money Signal Copy Trade - 聪明钱信号跟单/
├── skill.md ← This file (strategy documentation)
├── config.py ← All adjustable parameters (modify only here, hot-reload)
├── bot.py ← Main strategy program
├── dashboard.html ← Web Dashboard UI
├── collision_guard.py ← Cross-strategy collision detection
├── positions.json ← [Auto-generated] Position data
└── signal_trades.json ← [Auto-generated] Trade history---
Prerequisites
1. Install onchainos CLI (>= 2.0.0-beta)
# Check if already installed
onchainos --version
# If not installed, follow onchainos official documentation
# Ensure onchainos is in PATH or located at ~/.local/bin/onchainos2. Log in to Agentic Wallet (TEE Signing)
# One-time login (email verification)
onchainos wallet login <your-email>
# Verify login status
onchainos wallet status
# → loggedIn: true
# Confirm Solana address
onchainos wallet addresses --chain 501Agentic Wallet uses TEE secure enclave signing. Private keys are never exposed to code/logs/network.
No need to set the WALLET_PRIVATE_KEY environment variable.
3. No pip install Required
This strategy only depends on the Python standard library + onchainos CLI. No third-party packages are needed.
---
AI Agent Startup Interaction Protocol
When a user requests to start this strategy, the AI Agent must follow the procedure below. Do not skip directly to launch.
Phase 1: Present Strategy Overview
Show the user the following:
📡 Smart Money Signal Copy Trade v1.0 — Smart Money Signal Tracker
This strategy polls OKX Smart Money / KOL / Whale buy signals every 20 seconds.
When ≥3 smart wallets simultaneously buy the same token, it auto-buys after passing 15 safety filters.
A 7-layer exit system manages take profit and stop loss (Cost-Aware TP + Trailing + Time-Decay SL).
🧪 Current: Paper Mode — no real money spent, just observing signals
⚠️ Risk Notice: On-chain trading is high risk. You may lose all invested capital.
Default parameters (for reference only, adjust based on your situation):
Position size: high 0.020 / mid 0.015 / low 0.010 SOL
Max positions: 6
Min co-riders: 3 smart wallets
Safety thresholds: MC≥$200K, Liq≥$80K, Holders≥300, Dev Rug=0
Take Profit: TP1 +5% / TP2 +15% / TP3 +30% (NET, cost-aware)
Stop Loss: -10% hard stop loss, tightens with time decay
Trailing Stop: Activates at +12% profit, exits on 10% drawdown
Max hold time: 4 hours
All parameters can be freely modified in config.py to suit your trading style.Q1: Risk Preference (Mandatory)
- 🛡️ Conservative: Small positions, tight stop loss, fewer positions
- ⚖️ Default: Balanced configuration (recommended)
- 🔥 Aggressive: Large positions, wide stop loss, more positions
→ Parameter mapping (for AI Agent to write to config.py, not shown to user):
| Preference | SL_MULTIPLIER | MAX_POSITIONS | MIN_WALLET_COUNT | TIME_STOP_MAX_HOLD_HRS | TRAIL_ACTIVATE | TRAIL_DISTANCE |
|---|---|---|---|---|---|---|
| Conservative | 0.92 (-8%) | 4 | 5 | 2 | 0.08 | 0.06 |
| Default | 0.90 (-10%) | 6 | 3 | 4 | 0.12 | 0.10 |
| Aggressive | 0.85 (-15%) | 8 | 3 | 6 | 0.18 | 0.12 |
Q2: Switch to Live Trading?
- A. 🧪 Stay in Paper Mode, launch directly (recommended default)
- B. 💰 Switch to Live Mode
Option A → Proceed directly to launch steps.
Option B → Enter Live Mode sub-flow:
1. ⚠️ Confirm with user: "Live Mode will use real SOL for trading. Losses are irreversible. Confirm switch to Live Mode?"
- User confirms → Continue
- User declines → Fall back to Paper Mode
2. Ask for total budget in SOL (range 0.5-10, default 1.0 SOL)
3. AI auto-calculates (let B = user's budget input):
SESSION_STOP_SOL = B × 0.10(stop at 10% loss)SESSION_LOSS_LIMIT_SOL = B × 0.05(pause at 5% loss)POSITION_TIERS:high: {"min_addr": 8, "sol": max(0.020 × B, 0.005)}mid: {"min_addr": 5, "sol": max(0.015 × B, 0.005)}low: {"min_addr": 3, "sol": max(0.010 × B, 0.005)}
4. Show calculated results to user and confirm: "Your Live Mode config: Total budget X SOL, per-trade high/mid/low = Y/Y/Y SOL, loss stop limit Z SOL. Confirm?"
- User confirms → Write to config.py
- User requests adjustments → Return to step 2
5. Set mode parameters:
DRY_RUN = FalsePAUSED = False
Launch
1. Modify corresponding parameters in config.py based on user responses 2. Set PAUSED = False (allow bot to run normally after interaction confirmation) 3. Check prerequisites: onchainos --version, onchainos wallet status 4. Start bot: python3 bot.py 5. Show Dashboard link: http://localhost:3248 6. Inform user: Currently in Paper Mode. To switch to Live Mode, change DRY_RUN = False in config.py
If user says "use default config" or "just run it", only set PAUSED = False, leave everything else unchanged, and launch in Paper Mode.
Special Cases
- User explicitly says "don't ask me, just run" → Launch with default parameters (Paper Mode), but must show Phase 1 overview + set
PAUSED = False - User is a returning user (config history exists in conversation) → Remind of previous config, ask whether to reuse
---
Quick Start
⚠️ Before launching, confirm theDRY_RUNvalue in config.py —Truefor Paper,Falsefor Live.
cd ~/CC/Smart\ Money\ Signal\ Copy\ Trade\ -\ 聪明钱信号跟单
# 1. Confirm onchainos is logged in
onchainos wallet status
# 2. Start bot (foreground, Ctrl+C to stop)
python3 bot.py
# 3. Open Dashboard
open http://localhost:3248
# 4. Stop
pkill -f bot.pyFirst launch defaults to PAUSED=True, no new positions will be opened. After confirming everything is normal, change config.py PAUSED=False.
config.py supports hot-reload (importlib.reload). No bot restart needed after changes.---
Parameter Tuning
All adjustable parameters are in `config.py` — no need to modify bot.py.
Common Adjustments
| Need | Modify in config.py |
|---|---|
| Pause/Resume trading | PAUSED = True/False |
| Paper/Live Mode switch | DRY_RUN = True/False |
| Adjust position size | sol values in POSITION_TIERS for each tier |
| Adjust max positions | MAX_POSITIONS = 6 |
| Adjust min co-rider count | MIN_WALLET_COUNT = 3 |
| Adjust take profit | pct and sell in TP_TIERS |
| Adjust hard stop loss | SL_MULTIPLIER = 0.90 (-10%) |
| Adjust time-decay SL | TIME_DECAY_SL list |
| Adjust trailing stop | TRAIL_ACTIVATE = 0.12, TRAIL_DISTANCE = 0.10 |
| Adjust max hold time | TIME_STOP_MAX_HOLD_HRS = 4 |
| MC range | MIN_MCAP = 200_000, MIN_LIQUIDITY = 80_000 |
| Session loss limits | SESSION_STOP_SOL = 0.10, SESSION_LOSS_LIMIT_SOL = 0.05 |
| Scan interval | POLL_INTERVAL_SEC = 20 |
| Dashboard port | DASHBOARD_PORT = 3248 |
Changes take effect automatically via hot-reload (no bot restart needed).
---
Strategy Architecture
bot.py (Single-file Bot)
├── onchainos CLI (Data + Execution + Safety — no API Key)
├── run() ← Main loop, every 20s
│ ├── signal list() Smart Money/KOL/Whale signals
│ ├── Level 1 Pre-filter soldRatio < 80%, walletCount >= 3
│ └── open_position() 15 deep verifications → Buy
│ ├── market prices MC/Liq/Holders/Price
│ ├── token search Community verification status
│ ├── market candles K1 pump < 15%
│ ├── token advanced-info Dev rug/Bundler/LP/Top10
│ ├── wallet balance SOL balance check
│ ├── swap quote Honeypot detection + quote
│ └── → execute_swap() Paper: quote / Live: swap + TEE signing
├── monitor_positions() ← Background thread, every 20s
│ ├── market prices Batch prices
│ └── check_position() 7-layer exit decision
│ ├── EXIT 0: Liquidity emergency exit (liq < $5K)
│ ├── EXIT 1: Dust cleanup (< $0.10)
│ ├── EXIT 2: Hard stop loss (-10%)
│ ├── EXIT 3: Time-decay SL (30min/-8%, 60min/-5%)
│ ├── EXIT 4: Tiered take profit TP1/TP2/TP3 (cost-aware)
│ ├── EXIT 5: Trailing stop (+12% activate, 10% drawdown)
│ ├── EXIT 6: Trend time stop (15m candle reversal)
│ └── EXIT 7: Hard time stop (4h)
├── Session Risk Control Consecutive loss pause / Cumulative loss stop
├── Dashboard (port 3248) Web UI
└── Persistence files (JSON, atomic write)Scheduled Tasks:
| Task | Frequency | Responsibility |
|---|---|---|
run() | Every 20s | Poll signals → Pre-filter → Deep verification → Buy |
monitor_positions() | Every 20s | Fetch position prices → 7-layer exit system |
importlib.reload(config) | Auto each cycle | Hot-reload config.py parameters |
---
Safety Checks
Level 1 Pre-filter (2 checks, based on signal list data, 0 extra API calls)
| # | Check | Threshold |
|---|---|---|
| 1 | Smart Money sell ratio | soldRatioPercent < 80% |
| 2 | Co-rider wallet count | triggerWalletCount >= 3 |
Level 2 Deep Verification (13 checks, via onchainos CLI)
| # | Check | Threshold | Data Source |
|---|---|---|---|
| 1 | Market Cap | >= $200,000 | market prices |
| 2 | Liquidity | >= $80,000 | market prices |
| 3 | Holder count | >= 300 | market prices |
| 4 | Liquidity/MC ratio | >= 5% | market prices |
| 5 | Top10 concentration | <= 50% | token advanced-info |
| 6 | Holder density | >= 50 per million MC | market prices |
| 7 | K1 price change | <= 15% | market candles |
| 8 | Dev rug history | = 0 (zero tolerance) | token advanced-info |
| 9 | Dev farm | <= 20 | token advanced-info |
| 10 | Dev holding | <= 15% | token advanced-info |
| 11 | Bundler ATH | <= 25% | token advanced-info |
| 12 | Bundler count | <= 5 | token advanced-info |
| 13 | LP burn | >= 80% | token advanced-info |
Final Pre-Buy Check
- SOL balance >= position size +
SOL_GAS_RESERVE(0.05) - Honeypot detection:
isHoneyPot == false && taxRate <= 5(viaswap quote) - Position count <
MAX_POSITIONS - Not in cooldown / Session not paused/stopped
---
Position Tiers
| Tier | Condition | Position |
|---|---|---|
| high | >= 8 co-rider wallets | 0.020 SOL |
| mid | >= 5 co-rider wallets | 0.015 SOL |
| low | >= 3 co-rider wallets | 0.010 SOL |
Cost Model (Breakeven by tier):
| Tier | Fixed Cost Ratio | Slippage Cost (x2 legs) | Breakeven |
|---|---|---|---|
| high (0.020) | 0.001/0.020 = 5.0% | 2.0% | 7.0% |
| mid (0.015) | 0.001/0.015 = 6.7% | 2.0% | 8.7% |
| low (0.010) | 0.001/0.010 = 10.0% | 2.0% | 12.0% |
TP is cost-aware — tp_threshold = net_target + breakeven_pct. For the low tier, TP1 actually requires +17% raw price change to trigger (5% + 12% breakeven).---
7-Layer Exit System
| Priority | Exit Type | Trigger Condition | Sell Ratio |
|---|---|---|---|
| EXIT 0 | Liquidity emergency exit | liq < $5,000 | 100% |
| EXIT 1 | Dust cleanup | Position value < $0.10 | 100% |
| EXIT 2 | Hard stop loss | price <= entry × 0.90 (-10%) | 100% |
| EXIT 3 | Time-decay SL | 30min: -8%, 60min: -5% | 100% |
| EXIT 4 | Tiered take profit | TP1 +5% NET sell 30% / TP2 +15% sell 40% / TP3 +30% sell 100% | Partial |
| EXIT 5 | Trailing stop | Peak PnL >= +12%, then drawdown >= 10% from peak | 100% |
| EXIT 6 | Trend time stop | Position >= 30min and 15m candle reversal confirmed | 100% |
| EXIT 7 | Hard time stop | Hold time >= 4h | 100% |
---
Session Risk Control
| Rule | Value |
|---|---|
| Consecutive loss pause | 3 times → Pause 10min (MAX_CONSEC_LOSS = 3) |
| Cumulative loss pause | >= 0.05 SOL → Pause 30min (SESSION_LOSS_LIMIT_SOL = 0.05) |
| Cumulative loss stop | >= 0.10 SOL → Stop trading (SESSION_STOP_SOL = 0.10) |
| Max hold time | 4h (TIME_STOP_MAX_HOLD_HRS = 4) |
Consecutive loss counter resets on a profitable trade. Session risk control auto-resets on bot restart.
---
Iron Rules (Must Not Be Violated)
1. advanced-info safety check failure → Fail-Closed, do not buy. 2. soldRatioPercent > 80% skip — Smart money is already selling, don't catch the falling knife. 3. K1 price change > 15% skip — Don't chase pumps. 4. Zero tolerance for Dev rug history — If there's a rug, don't buy. 5. After selling a token, set cooldown. No re-buying during cooldown period. 6. Position size is fixed per tier. No adding to positions. 7. If all three levels of buy price fallback fail (price <= 0), do not open position. 8. Daily loss limit reached → Stop all buying. 9. SOL_GAS_RESERVE 0.05 SOL is never spent on trades. 10. Must hold state_lock before writing to positions.json.
---
onchainos CLI Command Reference
| # | Command | Purpose |
|---|---|---|
| 1 | onchainos signal list --chain solana --wallet-type 1,2,3 --min-address-count 3 | Smart Money signals |
| 2 | onchainos market prices --tokens 501:<addr1>,501:<addr2>,... | Batch price/MC/Liq |
| 3 | onchainos market candles --chain solana --address <addr> --bar 1m | Candles (K1 pump detection) |
| 4 | onchainos token search --chain solana --query <symbol> | Community verification |
| 5 | onchainos token advanced-info --chain solana --address <addr> | Dev/Bundler/LP/Top10 |
| 6 | onchainos swap quote --from 1111...1111 --to <token> --amount <lamports> --chain solana | Quote + Honeypot detection |
| 7 | onchainos swap swap --from <from> --to <to> --amount <amt> --chain solana --wallet <addr> --slippage <pct> | Trade execution |
| 8 | onchainos wallet addresses --chain 501 | Solana address |
| 9 | onchainos wallet balance --chain 501 | SOL balance |
| 10 | onchainos wallet contract-call --chain 501 --to <tx.to> --unsigned-tx <base58> | TEE signing + broadcast |
| 11 | onchainos wallet history --tx-hash <hash> --chain-index 501 | Transaction confirmation |
---
Troubleshooting
| Issue | Solution |
|---|---|
| "FATAL: onchainos CLI not found" | Install onchainos and ensure it is in PATH |
| "No Solana address" | Run onchainos wallet login <email> to complete login |
| Login expired | Re-run onchainos wallet login <email> |
| Dashboard won't open | Check if port 3248 is in use: lsof -i:3248 |
| Bot starts but doesn't trade | Check PAUSED = True, change to False (hot-reload, no restart needed) |
| Lots of SKIP in Feed | Signal tokens didn't pass pre-filter (MC/Liq/soldRatio), this is normal |
| Lots of SAFETY_REJECT in Feed | Deep verification blocked, adjust config based on rejection reason (DevRug/Bundler/K1) |
No signals keeps appearing | No smart money buy signals currently, normal behavior — just wait |
| Live mode buy failure | Check SOL balance >= position + 0.05; confirm wallet is logged in |
InstructionError Custom:1 | swap --from must use native SOL 11111111111111111111111111111111, not WSOL |
| SESSION_PAUSE, not trading | Session risk control triggered, wait for pause to end or adjust SESSION_LOSS_LIMIT_SOL |
| SESSION_STOP | Cumulative loss reached limit, restart bot to reset session |
| PnL display abnormal | Check entry_price field in positions.json for value of 0 |
| Config change not taking effect | No restart needed — importlib.reload(config) auto hot-reloads each cycle |
Common Pitfalls
| Issue | Wrong Approach | Correct Approach |
|---|---|---|
| TP not profitable | TP uses raw pct | tp_threshold = pct×100 + breakeven_pct |
| Ignoring costs | TP at 8% and sell | NET 5% actual trigger = 5%+12% = 17% raw gain (low tier) |
| dev rug | Don't check dev | onchainos token advanced-info zero tolerance |
| Continuous losses without stopping | Keep trading | 3 consecutive losses pause / 0.10 SOL stop |
| swap --from uses WSOL | So11111...112 | Must use native SOL `1111...1111` (32 ones) |
| contract-call --to | Pass token address | Must pass swap response's `tx.to` (DEX router address) |
| swap amount unit | Pass UI units | swap quote/swap --amount uses lamports (1 SOL = 1e9) |
| wallet balance get SOL | Get WSOL balance | Get entry where tokenAddress === '' = native SOL |
---
Glossary
| Term | Definition |
|---|---|
| Co-rider address | Multiple smart wallets buying the same token within a short time, forming a "co-riding" consensus |
| walletType | Signal source type: 1=SmartMoney 2=KOL/Influencer 3=Whale |
| triggerWalletCount | Number of co-rider wallets; more wallets = stronger signal |
| soldRatioPercent | Smart Money sell ratio; >80% means smart money is already exiting |
| breakeven_pct | Breakeven point (including fees); varies by tier (7%-12%) |
| Cost-Aware TP | Take profit threshold = NET target + breakeven_pct, ensuring actual profit after fees |
| Trailing Stop | Price reaches activation threshold, then triggers sell when drawdown from peak exceeds threshold |
| Time-decay SL | Time-decay stop loss — the longer the position is held, the tighter the stop loss |
| Trend Stop | Trend time stop — based on 15m candle trend reversal detection |
| Session Risk | Per-run cumulative risk control (consecutive loss pause, cumulative loss stop) |
| Fail-Closed | When safety check API fails, treat as unsafe and do not buy |
| TEE | Trusted Execution Environment — onchainos signing happens inside a secure enclave |
| Agentic Wallet | onchainos managed wallet; private key stays inside TEE, never leaves the secure environment |
| Dust | Fragment position — residual holding valued below $0.10, automatically cleaned up |
| Hot-reload | importlib.reload(config) — auto-loads latest config.py parameters each cycle, no restart needed |
| MC / MCAP | Market Cap — token total supply × current price, measures token scale |
| LP | Liquidity Pool — token pair pool on DEX for trading; larger LP means lower slippage |
| LP Burn | Permanently destroying LP tokens, ensuring liquidity cannot be withdrawn by the developer |
| Rug Pull | Developer suddenly withdraws liquidity or dumps all holdings, causing token price to drop to zero |
| Dev | Token developer/deployer — in the meme coin context, refers to the token contract creator; their holdings and history are key risk indicators |
| Bundler | Bundle trader — addresses that buy large amounts through bundled transactions at token launch, possibly insiders or manipulators |
| Sniper | Addresses that automatically buy tokens at the instant of launch via bots; concentrated holdings may create sell pressure |
| Honeypot | Malicious token contract that can only be bought but not sold (or has extremely high sell tax) |
| Slippage | Difference between expected and actual execution price; worse liquidity means higher slippage |
| K1 | Most recent 1-minute candle — used to detect short-term price spikes (K1 pump), preventing buying at the top |
| lamports | Smallest unit of SOL, 1 SOL = 1,000,000,000 lamports |
| Native SOL | SOL native token address 11111111111111111111111111111111 (32 ones); must use this address for swap --from |
| WSOL | Wrapped SOL (So11...112), SPL Token wrapped form of SOL; cannot be used for swap --from |
{
"name": "smart-money-signal-copy-trade",
"description": "Smart Money Signal Copy Trade v1.0 — Smart money signal tracker with cost-aware TP, 15-check safety, 7-layer exit system",
"version": "1.0.0",
"author": {
"name": "yz06276",
"github": "yz06276"
},
"license": "MIT",
"keywords": [
"solana",
"onchainos",
"trading-bot"
],
"repository": "https://github.com/yz06276"
}
<!DOCTYPE html>
<html lang="en"><head><meta charset="utf-8">
<title>Smart Money Signal Copy Trade — Live Bot v1.0</title>
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</head><body>
<div class="stats-bar">
<div class="stat-cell"><div class="stat-lbl">Cycle</div><div id="st-cyc" class="stat-big c-acc">0</div></div>
<div class="stat-cell"><div class="stat-lbl">Positions</div><div id="st-pos" class="stat-big c-acc">0</div></div>
<div class="stat-cell"><div class="stat-lbl">Trades</div><div id="st-trades" class="stat-big c-yel">0</div><div id="st-wr" class="stat-sub"></div></div>
<div class="stat-cell pnl-cell"><div class="stat-lbl">Session PnL</div><div id="st-pnl" class="stat-big">0</div><div id="st-pnl-sub" class="stat-sub"></div></div>
</div>
<div class="status-bar">
<span id="mode-badge" class="s-mode s-paused">PAUSED</span>
<span class="s-info" id="status-text">Starting...</span>
</div>
<div class="main">
<div class="col">
<div class="col-hdr">Activity Feed <span class="cnt" id="feed-cnt">0</span></div>
<div class="scr" id="feed-list"></div>
</div>
<div class="rcol col no-border">
<div class="pos-sec">
<div class="col-hdr">Open Positions <span class="cnt" id="pos-cnt">0</span></div>
<div class="scr" id="pos-list"></div>
</div>
<div class="col-hdr">Trade History <span class="cnt" id="trade-cnt">0</span></div>
<div class="scr" id="trade-list"></div>
</div>
</div>
<div class="sidebar">Smart Money Signal Copy Trade v1.0 — onchainos Agentic Wallet TEE | Positions are strategy-isolated</div>
<script>
function $(id){return document.getElementById(id)}
function renderFeed(items){
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}
function labelClass(label){
if(!label)return 'lb-sm';
var l=label.toLowerCase();
if(l.indexOf('kol')>=0)return 'lb-kol';
if(l.indexOf('whale')>=0)return 'lb-whale';
return 'lb-sm';
}
function renderPositions(pos){
var keys=Object.keys(pos);$('pos-cnt').textContent=keys.length;
var h='';
keys.forEach(function(addr){
var p=pos[addr];var pct=p.net_pnl_pct||0;var cls=pct>=0?'in-profit':'in-loss';
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var sign=pct>=0?'+':'';
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h+='<span class="ppnl '+(pct>=0?'c-grn':'c-red')+'">'+sign+pct.toFixed(1)+'%</span>';
h+='</div>';
h+='<div class="prow">'+p.buy_sol+' SOL | T+'+elapsed+'m | TP'+p.tp_tier+'/3</div>';
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});
$('trade-list').innerHTML=h;
}
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try{
var r=await fetch('/api/state');var d=await r.json();
var stats=d.stats||{};
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var posKeys=Object.keys(d.positions||{});
$('st-pos').textContent=posKeys.length;
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$('st-trades').textContent=total;
$('st-wr').textContent=total?'WR '+(wins/total*100).toFixed(0)+'% ('+wins+'W/'+losses+'L)':'';
var pnl=stats.net_sol||0;
$('st-pnl').textContent=(pnl>=0?'+':'')+pnl.toFixed(4);
$('st-pnl').className='stat-big '+(pnl>=0?'c-grn':'c-red');
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var sr=d.session_risk||{};
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renderFeed(d.feed||[]);
renderPositions(d.positions||{});
renderTrades((d.trades||[]).slice(0,50));
}catch(e){}
}
setInterval(poll,2000);poll();
</script>
</body></html>
MIT License
Copyright (c) 2026 yz06276
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
schema_version: 1
name: smart-money-signal-copy-trade
version: "1.0.0"
description: "Smart Money Signal Copy Trade v1.0 — Smart money signal tracker with cost-aware TP, 15-check safety, 7-layer exit system"
author:
name: "yz06276"
github: "yz06276"
license: MIT
category: strategy
tags:
- solana
- onchainos
- trading-bot
components:
skill:
repo: "yz06276/smart-money-signal-copy-trade"
commit: "d2aa628e063d780c370b0ec075a43df4859be951"
api_calls: []
type: community-developer
Smart Money Signal Copy Trade - 聪明钱信号跟单
Smart money signal tracker — polls Smart Money / KOL / Whale buy signals every 20 seconds, executes copy trades after 15-check safety verification. Cost-aware take profit ensures real profitability after fees. All on-chain operations powered by onchainos Agentic Wallet (TEE signing, no API key needed).
聪明钱信号跟单策略 — 每 20 秒轮询 Smart Money / KOL / 鲸鱼买入信号,通过 15 项安全验证后执行跟单。成本感知止盈确保扣除手续费后真正盈利。所有链上操作由 onchainos Agentic Wallet 驱动(TEE 签名,无需 API Key)。
Features / 功能
- Smart Money Signals / 聪明钱信号 — Tracks SmartMoney, KOL, and Whale wallet activity in real-time
- Co-Rider Consensus / 共乘共识 — Triggers when 3+ smart wallets buy the same token simultaneously
- 15-Check Deep Safety / 15 项深度安全验证 — MC, liquidity, holders, Dev rug, Bundler, LP burn, K1 pump detection
- Cost-Aware TP / 成本感知止盈 — TP thresholds include breakeven calculation (fees + slippage)
- 7-Layer Exit System / 7 层退出系统 — Liquidity emergency, hard stop, time-decay SL, tiered TP, trailing stop, trend stop
- Session Risk Control / 会话风控 — Consecutive loss pause, cumulative loss stop
- Hot-Reload Config / 热重载配置 — Modify config.py without restarting the bot
- Web Dashboard / 实时仪表盘 — http://localhost:3248
Install / 安装
npx skills add okx/plugin-store --skill smart-money-signal-copy-tradeRisk Warning / 风险提示
Smart money signals do not guarantee profits. Signal delays and manipulation can happen at any time. Always test in Paper Mode first.
聪明钱信号不保证盈利,信号延迟和操纵随时可能发生。请先在纸盘模式下测试。
License
MIT
"""
Smart Money Signal Copy Trade v1.0 — onchainos Agentic Wallet
Dashboard: http://localhost:3248
v3.2 Fix List (Comprehensive Audit):
- [C0] execute_swap: Get toTokenAmount from routerResult (Live swap nested structure)
- [C1] Time Decay SL: Sort by after_min descending, older positions get tighter SL
- [C2] TP partial sell adds continue, prevent double sell in same cycle
- [C3] close_position: Read token_amount from live state, not snapshot
- [C4] After partial sell, reduce buy_sol proportionally
- [C5] token_amount=0 defense, do not create ghost positions
- [H1] Time Decay SL close adds continue
- [H2] sell_fail_count retry limit
- [H3] config reload only in run() main thread, monitor reads config without reload
- [H4] wallet_addr declared global
- [H5] record_trade uses state_lock
- [H6] SOL_NATIVE keeps existing value (onchainos CLI uses 32 ones for native SOL)
- [H7] swap operations use ORDER_TIMEOUT_SEC
- [M1] Re-check MAX_POSITIONS before buy
- [M2] int(sell_amount) truncation check
- [M3] SOL balance matching compatible with None
- [M4] save_trades uses lock
- [M6] config reload failure logs warning
- [L1] cooldown_map cleans expired entries
- [L3] load_state restores buys count
- [L4] tradeId adds random suffix to prevent collision
"""
import time, json, threading, importlib, subprocess, os, random, string, signal, sys
from datetime import datetime
from pathlib import Path
from http.server import HTTPServer, BaseHTTPRequestHandler
from risk_check import pre_trade_checks, post_trade_flags
import config
# ── Constants ────────────────────────────────────────────────────────────────
PROJECT_DIR = Path(__file__).parent
SOL_NATIVE = "11111111111111111111111111111111" # 32 ones, native SOL (onchainos CLI format)
COOLDOWN_SEC = 300 # 5-minute cooldown after sell
POSITIONS_FILE = str(PROJECT_DIR / "positions.json")
TRADES_FILE = str(PROJECT_DIR / "signal_trades.json")
cooldown_map = {} # {token_address: expire_timestamp}
wallet_addr = "" # Obtained via wallet addresses in Live mode
state_lock = threading.Lock()
pos_lock = threading.Lock()
trades_lock = threading.Lock() # [M4] Protect trades file writes
_selling = set() # Prevent concurrent sells of the same token
state = {
"positions": {},
"trades": [],
"feed": [],
"stats": {"cycle": 0, "buys": 0, "sells": 0, "wins": 0, "losses": 0, "net_sol": 0.0},
}
session_risk = {
"consecutive_losses": 0,
"cumulative_loss_sol": 0.0,
"paused_until": 0,
"stopped": False,
}
# ── onchainos CLI Wrapper ────────────────────────────────────────────────────
def onchainos(*args, timeout=20):
"""Call onchainos CLI, return the data field"""
try:
r = subprocess.run(
['onchainos', *args],
capture_output=True, text=True, timeout=timeout
)
result = json.loads(r.stdout)
if not result.get('ok'):
raise RuntimeError(f"onchainos {args[0]} {args[1]}: {result.get('msg', result)}")
return result['data']
except subprocess.TimeoutExpired:
raise RuntimeError(f"onchainos {' '.join(args[:2])}: timeout {timeout}s")
except json.JSONDecodeError:
raise RuntimeError(f"onchainos {' '.join(args[:2])}: invalid JSON")
# ── Helper Functions ─────────────────────────────────────────────────────────
def feed(msg):
"""Add log entry to Activity Feed"""
with state_lock:
state["feed"].append({"msg": msg, "t": datetime.now().strftime("%H:%M:%S")})
state["feed"] = state["feed"][-50:]
print(f"[{datetime.now().strftime('%H:%M:%S')}] {msg}")
def save_positions():
"""Atomic write positions file. Caller should hold pos_lock."""
tmp = POSITIONS_FILE + ".tmp"
with open(tmp, "w") as f:
json.dump(state["positions"], f, default=str, indent=2)
os.replace(tmp, POSITIONS_FILE)
def save_trades():
"""Atomic write trade history. Caller should hold trades_lock.""" # [M4]
tmp = TRADES_FILE + ".tmp"
with open(tmp, "w") as f:
json.dump(state["trades"], f, default=str, indent=2)
os.replace(tmp, TRADES_FILE)
def load_state():
"""Load previous positions and trade history on startup"""
try:
with open(POSITIONS_FILE) as f:
state["positions"] = json.load(f)
# Backward compatibility: add origin tag for legacy positions
for addr, pos in state["positions"].items():
if "origin" not in pos:
pos["origin"] = "smart_money_signal_copy_trade_legacy"
print(f" Restored {len(state['positions'])} positions from disk")
except FileNotFoundError:
pass
try:
with open(TRADES_FILE) as f:
state["trades"] = json.load(f)
# Restore stats (including buys) [L3]
for t in state["trades"]:
net_pnl = t.get("net_pnl_pct", 0)
if net_pnl > 0:
state["stats"]["wins"] += 1
elif net_pnl < 0:
state["stats"]["losses"] += 1
state["stats"]["sells"] += 1
state["stats"]["net_sol"] += t.get("pnl_sol", 0)
# [L3] Infer buys from position count + sells count
state["stats"]["buys"] = len(state["positions"]) + state["stats"]["sells"]
print(f" Restored {len(state['trades'])} trades")
except FileNotFoundError:
pass
def check_trend_stop(ca):
"""Check if 15m candle confirms trend reversal"""
try:
candles = onchainos('market', 'candles', '--chain', 'solana',
'--address', ca, '--bar', config.TIME_STOP_CANDLE_BAR)
if not candles or len(candles) < 2:
return False
k1 = candles[-1]
k2 = candles[-2]
k1_close = float(k1.get("c", 0))
k1_open = float(k1.get("o", 0))
k1_vol = float(k1.get("vol", 0))
k2_vol = float(k2.get("vol", 0))
if k1_close < k1_open and k1_vol >= k2_vol * config.TIME_STOP_REVERSAL_VOL:
return True
except Exception:
pass
return False
def safe_float(v, default=0.0):
"""Safe float conversion, handles empty string/None/missing"""
try:
return float(v)
except (ValueError, TypeError):
return default
def safe_int(v, default=0):
"""Safe int conversion, handles empty string/None/missing"""
try:
return int(v)
except (ValueError, TypeError):
return default
def cleanup_cooldown():
"""[L1] Clean up expired cooldown entries"""
now = time.time()
expired = [k for k, v in cooldown_map.items() if now >= v]
for k in expired:
del cooldown_map[k]
# ── Session Risk Control ─────────────────────────────────────────────────────
def can_enter():
"""Check if opening new positions is allowed. Returns (ok, reason)."""
if config.PAUSED:
return False, "PAUSED (manual)"
with state_lock:
if session_risk["stopped"]:
return False, "Session stopped"
if time.time() < session_risk["paused_until"]:
remain = int(session_risk["paused_until"] - time.time())
return False, f"Session paused ({remain}s left)"
with pos_lock:
if len(state["positions"]) >= config.MAX_POSITIONS:
return False, "Max positions"
return True, "OK"
def record_loss(pnl_sol):
"""Record loss and update session risk control. Thread-safe."""
with state_lock:
session_risk["consecutive_losses"] += 1
session_risk["cumulative_loss_sol"] += abs(pnl_sol)
if session_risk["cumulative_loss_sol"] >= config.SESSION_STOP_SOL:
session_risk["stopped"] = True
feed(f"🛑 SESSION_STOP: Cumulative loss {session_risk['cumulative_loss_sol']:.4f} SOL")
elif session_risk["cumulative_loss_sol"] >= config.SESSION_LOSS_LIMIT_SOL:
session_risk["paused_until"] = time.time() + config.SESSION_LOSS_PAUSE_SEC
feed(f"⏸ SESSION_PAUSE: Cumulative loss {session_risk['cumulative_loss_sol']:.4f} SOL, "
f"paused {config.SESSION_LOSS_PAUSE_SEC//60}min")
elif session_risk["consecutive_losses"] >= config.MAX_CONSEC_LOSS:
session_risk["paused_until"] = time.time() + config.PAUSE_CONSEC_SEC
feed(f"⏸ SESSION_PAUSE: {session_risk['consecutive_losses']} consecutive losses, "
f"paused {config.PAUSE_CONSEC_SEC//60}min")
state["stats"]["losses"] = state["stats"].get("losses", 0) + 1
def record_win():
"""Record win. Thread-safe."""
with state_lock:
session_risk["consecutive_losses"] = 0
state["stats"]["wins"] = state["stats"].get("wins", 0) + 1
# ── Core Functions ───────────────────────────────────────────────────────────
def execute_swap(from_token, to_token, amount, wallet_addr, is_buy=True):
"""
Execute swap trade. Paper mode calls quote, Live mode calls swap + contract-call.
amount: lamports (int) — SOL lamports for buy, token smallest unit amount for sell
Returns: {"toTokenAmount": str, "toTokenUsdPrice": str, "txHash": str|None}
"""
amount_str = str(int(amount))
if config.DRY_RUN:
# quote does not support --slippage parameter, only swap does
data = onchainos('swap', 'quote',
'--from', from_token, '--to', to_token,
'--amount', amount_str, '--chain', 'solana')
q = data[0] if isinstance(data, list) else data
# [C0] quote may also have routerResult nesting, handle uniformly
router = q.get("routerResult", q)
return {
"toTokenAmount": str(router.get("toTokenAmount", 0)),
"toTokenUsdPrice": router.get("toToken", {}).get("tokenUnitPrice",
q.get("toToken", {}).get("tokenUnitPrice", "0")),
"txHash": None,
}
else:
# [H7] swap operations use longer timeout
data = onchainos('swap', 'swap',
'--from', from_token, '--to', to_token,
'--amount', amount_str, '--chain', 'solana',
'--slippage', str(config.SLIPPAGE_PCT),
'--wallet', wallet_addr,
timeout=getattr(config, 'ORDER_TIMEOUT_SEC', 120))
q = data[0] if isinstance(data, list) else data
# [C0] swap returns toTokenAmount inside routerResult
router = q.get("routerResult", q)
tx = q.get("tx", {})
tx_to = tx.get("to", "")
unsigned_tx = tx.get("data", "")
if not tx_to or not unsigned_tx:
raise RuntimeError(f"swap response missing tx.to or tx.data: {q}")
result = onchainos('wallet', 'contract-call',
'--chain', '501',
'--to', tx_to,
'--unsigned-tx', unsigned_tx,
timeout=getattr(config, 'ORDER_TIMEOUT_SEC', 120))
tx_hash = result.get("txHash") or result.get("orderId", "")
return {
"toTokenAmount": str(router.get("toTokenAmount", 0)),
"toTokenUsdPrice": router.get("toToken", {}).get("tokenUnitPrice",
q.get("toToken", {}).get("tokenUnitPrice", "0")),
"txHash": tx_hash,
}
def open_position(signal, wallet_addr):
"""
Execute the full filter chain + buy for a signal token.
signal: Single signal entry returned by onchainos signal list
Returns: True=buy successful, False=filtered out
"""
token = signal.get("token", {})
ca = token.get("tokenAddress", "") or token.get("address", "")
symbol = token.get("symbol", "?")
wallet_count = int(signal.get("triggerWalletCount", 0))
sold_ratio = float(signal.get("soldRatioPercent", 100))
# ── Pre-checks (unified risk control via can_enter) ──
ok, reason = can_enter()
if not ok:
return False
with pos_lock:
if ca in state["positions"]:
return False # Already holding
if ca in cooldown_map and time.time() < cooldown_map[ca]:
return False # In cooldown
# ── Level 1 Pre-filter (signal data) ──
if sold_ratio > config.MAX_SELL_RATIO * 100:
feed(f"Skip {symbol}: soldRatio {sold_ratio:.0f}%"); return False
if wallet_count < config.MIN_WALLET_COUNT:
feed(f"Skip {symbol}: wallets {wallet_count}"); return False
# ── Level 2 Deep Verification ──
rc = None # Risk check result placeholder
try:
# 1. token price-info → MC, Liq, Holders
prices = onchainos('token', 'price-info', '--chain', 'solana', '--address', ca)
p = prices[0] if isinstance(prices, list) else prices
mc = safe_float(p.get("marketCap", 0))
liq = safe_float(p.get("liquidity", 0))
holders = safe_int(p.get("holders", 0))
price = safe_float(p.get("price", 0))
if mc < config.MIN_MCAP:
feed(f"Skip {symbol}: MC ${mc:,.0f}"); return False
if liq < config.MIN_LIQUIDITY:
feed(f"Skip {symbol}: Liq ${liq:,.0f}"); return False
if holders < config.MIN_HOLDERS:
feed(f"Skip {symbol}: Holders {holders}"); return False
if mc > 0 and liq / mc < config.MIN_LIQ_MC_RATIO:
feed(f"Skip {symbol}: Liq/MC {liq/mc:.1%}"); return False
if mc > 0 and holders / (mc / 1e6) < config.MIN_HOLDER_DENSITY:
feed(f"Skip {symbol}: HolderDensity low"); return False
# 2. market candles → K1 pump check (skip if candle data unavailable, don't block buy)
try:
candles = onchainos('market', 'candles', '--chain', 'solana',
'--address', ca, '--bar', '1m')
if candles and len(candles) >= 2:
k1 = candles[-1]
k1_open = float(k1.get("o", 0))
k1_close = float(k1.get("c", 0))
if k1_open > 0:
k1_pct = (k1_close - k1_open) / k1_open * 100
if k1_pct > config.MAX_K1_PCT_ENTRY:
feed(f"Skip {symbol}: K1 +{k1_pct:.1f}%"); return False
except Exception:
pass # Candle data unavailable, skip pump detection
# 3. token advanced-info → dev, bundler, LP, Top10
adv = onchainos('token', 'advanced-info', '--chain', 'solana', '--address', ca)
dev_rug = safe_int(adv.get("devRugPullTokenCount", 0))
dev_launched = safe_int(adv.get("devLaunchedTokenCount", 0))
dev_hold = safe_float(adv.get("devHoldingPercent", 0))
bundle_ath = safe_float(adv.get("bundleHoldingAthPercent", 0))
bundle_count = safe_int(adv.get("bundleCount", 0))
lp_burn = safe_float(adv.get("lpBurnedPercent", 0))
top10 = safe_float(adv.get("top10HoldPercent", 0))
# Rate-based rug check (aligned with risk_check.py)
rug_rate = dev_rug / max(dev_launched, 1) if dev_launched > 0 else (1.0 if dev_rug > 0 else 0.0)
if rug_rate >= 0.20 and dev_rug >= 3:
feed(f"Reject {symbol}: SerialRugger rate={rug_rate*100:.0f}% ×{dev_rug}"); return False
# Absolute count fallback (config adjustable)
max_dev_rug = getattr(config, 'DEV_MAX_RUG_COUNT', 5)
if max_dev_rug and dev_rug > max_dev_rug:
feed(f"Reject {symbol}: DevRug:{dev_rug}"); return False
if dev_launched > config.DEV_MAX_LAUNCHED:
feed(f"Reject {symbol}: DevFarm:{dev_launched}"); return False
if dev_hold > config.DEV_MAX_HOLD_PCT:
feed(f"Reject {symbol}: DevHold:{dev_hold:.1f}%"); return False
if bundle_ath > config.BUNDLE_MAX_ATH_PCT:
feed(f"Reject {symbol}: BundlerATH:{bundle_ath:.1f}%"); return False
if bundle_count > config.BUNDLE_MAX_COUNT:
feed(f"Reject {symbol}: BundlerCount:{bundle_count}"); return False
if lp_burn < config.MIN_LP_BURN:
feed(f"Reject {symbol}: LPBurn:{lp_burn:.0f}%"); return False
if top10 > config.MAX_TOP10_HOLDER_PCT:
feed(f"Reject {symbol}: Top10:{top10:.1f}%"); return False
# Risk check — honeypot, wash trading, rug rate
rc = pre_trade_checks(ca, symbol, quick=True)
if rc["grade"] >= 3:
feed(f"Reject {symbol}: RISK G{rc['grade']} — {', '.join(rc['reasons'][:2])}")
return False
if rc["grade"] == 2:
feed(f"Caution {symbol}: {', '.join(rc['cautions'][:2])}")
except Exception as e:
feed(f"Reject {symbol}: safety check failed: {e}"); return False
# ── Tier Classification ──
tier, size_sol = "low", config.POSITION_TIERS["low"]["sol"]
for t in ("high", "mid", "low"):
if wallet_count >= config.POSITION_TIERS[t]["min_addr"]:
tier, size_sol = t, config.POSITION_TIERS[t]["sol"]; break
# ── Balance Check ──
try:
bal_data = onchainos('wallet', 'balance', '--chain', '501')
sol_bal = 0.0
# Handle nested structure: data.details[].tokenAssets[] or flat list
assets = []
if isinstance(bal_data, dict):
details = bal_data.get("details", [])
if isinstance(details, list):
for detail in details:
assets.extend(detail.get("tokenAssets", []))
# fallback: if no details, may be flat dict
if not assets and "tokenAddress" in bal_data:
assets = [bal_data]
elif isinstance(bal_data, list):
assets = bal_data
else:
assets = [bal_data]
for b in assets:
# [M3] Compatible with tokenAddress being "", None, or missing
ta = b.get("tokenAddress")
if ta in ("", None):
sol_bal = float(b.get("balance", 0)); break
if sol_bal < size_sol + config.SOL_GAS_RESERVE:
feed(f"Skip {symbol}: SOL balance {sol_bal:.4f} < {size_sol + config.SOL_GAS_RESERVE:.4f}")
return False
except Exception:
if not config.DRY_RUN:
feed(f"Skip {symbol}: balance check failed"); return False
# ── Execute Buy ──
lamports = int(size_sol * 1e9)
try:
result = execute_swap(SOL_NATIVE, ca, lamports, wallet_addr, is_buy=True)
except Exception as e:
# [C11] Timeout → create unconfirmed position to prevent duplicate buys
if not config.DRY_RUN and "timeout" in str(e).lower():
feed(f"BUY TIMEOUT {symbol}: {e} — creating unconfirmed position")
now = time.time()
with pos_lock:
state["positions"][ca] = {
"symbol": symbol, "address": ca,
"label": signal.get("walletTypeName", "SmartMoney"),
"entry_price": price, "entry_mc": mc,
"token_amount": 0, "buy_sol": size_sol,
"tier": tier, "tp_tier": 0,
"sl_price": price * config.SL_MULTIPLIER,
"breakeven_pct": 0, "net_pnl_pct": 0,
"peak_price": price,
"opened_at": datetime.utcnow().isoformat(),
"opened_at_ts": now, "age_min": 0,
"sell_fail_count": 0, "origin": "smart_money_signal_copy_trade",
"unconfirmed": True,
"unconfirmed_ts": now,
"unconfirmed_checks": 0,
}
save_positions()
return False
feed(f"BUY FAIL {symbol}: {e}"); return False
token_amount = float(result["toTokenAmount"])
# [C5] Defense against token_amount=0, do not create ghost positions
if token_amount <= 0:
feed(f"BUY WARN {symbol}: token_amount=0, swap may have failed or returned abnormal structure")
return False
buy_price = float(result["toTokenUsdPrice"]) if float(result.get("toTokenUsdPrice", 0)) > 0 else price
if buy_price <= 0:
try:
sol_price_data = onchainos('token', 'price-info', '--chain', 'solana', '--address', SOL_NATIVE)
sol_usd = float(sol_price_data[0].get("price", 0)) if sol_price_data else 0
if sol_usd > 0 and token_amount > 0:
buy_price = (size_sol * sol_usd) / token_amount
except Exception:
pass
if buy_price <= 0:
feed(f"Skip {symbol}: price=0, cannot open position"); return False
# ── Calculate breakeven ──
be_pct = (config.FIXED_COST_SOL / size_sol * 100) + (config.COST_PER_LEG_PCT * 2)
# ── Record position ──
now = time.time()
with pos_lock:
# [M1] Re-check MAX_POSITIONS before buy, prevent TOCTOU
if len(state["positions"]) >= config.MAX_POSITIONS:
feed(f"Skip {symbol}: MAX_POSITIONS reached (race)"); return False
state["positions"][ca] = {
"symbol": symbol,
"address": ca,
"label": signal.get("walletTypeName", "SmartMoney"),
"entry_price": buy_price,
"entry_mc": mc,
"token_amount": token_amount,
"buy_sol": size_sol,
"tier": tier,
"tp_tier": 0,
"sl_price": buy_price * config.SL_MULTIPLIER,
"breakeven_pct": be_pct,
"net_pnl_pct": -be_pct,
"peak_price": buy_price,
"opened_at": datetime.utcnow().isoformat(),
"opened_at_ts": now,
"age_min": 0,
"sell_fail_count": 0, # [H2] Sell failure count
"origin": "smart_money_signal_copy_trade",
"entry_liquidity_usd": rc["raw"]["liquidity_usd"] if rc and rc.get("raw") else liq,
"entry_top10": top10 if 'top10' in locals() else 0,
"entry_sniper_pct": float(rc["raw"].get("info", {}).get("sniperHoldingPercent", 0) or 0) if rc and rc.get("raw") else 0,
"risk_last_checked": 0,
}
save_positions()
feed(f"BUY {symbol} [{signal.get('walletTypeName','SM')}/{tier}] "
f"{size_sol}SOL @ ${buy_price:.8f} tokens={token_amount:.0f} BE={be_pct:.1f}%")
with state_lock:
state["stats"]["buys"] += 1
return True
def monitor_positions():
"""Check all positions every 20s, execute exits by priority. Runs in a separate daemon thread."""
while True:
time.sleep(config.POLL_INTERVAL_SEC)
# [H3] Do not reload config here, run() main thread handles unified reload
with pos_lock:
positions = dict(state["positions"])
if not positions:
continue
now = time.time()
# [C11] Unconfirmed position verification (positions created after swap timeout)
for ca, pos in list(positions.items()):
if not pos.get("unconfirmed"): continue
elapsed = now - pos.get("unconfirmed_ts", pos.get("opened_at_ts", 0))
if elapsed < 60: continue # Wait 60s before checking
checks = pos.get("unconfirmed_checks", 0)
try:
# Try querying on-chain balance to confirm if transaction succeeded
pi = onchainos('token', 'price-info', '--chain', 'solana', '--address', ca)
p = pi[0] if isinstance(pi, list) else pi
# If price is available and position was marked unconfirmed, attempt verification
with pos_lock:
if ca in state["positions"]:
state["positions"][ca].pop("unconfirmed", None)
state["positions"][ca].pop("unconfirmed_ts", None)
state["positions"][ca].pop("unconfirmed_checks", None)
# Update price
if float(p.get("price", 0)) > 0:
state["positions"][ca]["entry_price"] = float(p["price"])
state["positions"][ca]["peak_price"] = float(p["price"])
save_positions()
feed(f"✅ CONFIRMED {pos.get('symbol', ca[:8])}: unconfirmed → active")
continue
except Exception:
checks += 1
with pos_lock:
if ca in state["positions"]:
state["positions"][ca]["unconfirmed_checks"] = checks
if checks >= 10 and elapsed >= 180:
with pos_lock:
state["positions"].pop(ca, None)
save_positions()
feed(f"❌ DROPPED {pos.get('symbol', ca[:8])}: unconfirmed after {checks} checks / {elapsed:.0f}s")
continue
# [C5+C12] Clean up ghost positions with token_amount=0 (with zero-balance count protection against RPC false negatives)
for ca, pos in list(positions.items()):
with pos_lock:
live_amt = state["positions"].get(ca, {}).get("token_amount", 0)
if live_amt <= 0:
with pos_lock:
if ca not in state["positions"]: continue
zbc = state["positions"][ca].get("zero_balance_count", 0) + 1
state["positions"][ca]["zero_balance_count"] = zbc
if zbc < 3:
continue # Require 3 consecutive zero-balance confirmations before removing
with pos_lock:
state["positions"].pop(ca, None)
cooldown_map[ca] = now + COOLDOWN_SEC
save_positions()
feed(f"CLEANUP {pos.get('symbol', ca[:8])}: token_amount=0 ({zbc} checks), removed")
del positions[ca]
else:
# Balance restored, reset counter
with pos_lock:
if ca in state["positions"] and state["positions"][ca].get("zero_balance_count", 0) > 0:
state["positions"][ca]["zero_balance_count"] = 0
if not positions:
continue
# Fetch prices individually (token price-info does not support batch)
price_map = {}
for ca in positions:
try:
pi = onchainos('token', 'price-info', '--chain', 'solana', '--address', ca)
p = pi[0] if isinstance(pi, list) else pi
price_map[ca] = p
except Exception:
pass
if not price_map:
continue
for ca, pos in positions.items():
p = price_map.get(ca, {})
cur_price = float(p.get("price", 0))
cur_liq = float(p.get("liquidity", 0))
cur_mc = float(p.get("marketCap", 0))
if cur_price <= 0:
continue
entry_price = pos["entry_price"]
if entry_price <= 0:
continue
pct = (cur_price - entry_price) / entry_price * 100
be_offset = pos.get("breakeven_pct", 0)
net_pct = pct - be_offset
age_min = (now - pos["opened_at_ts"]) / 60
# Update peak + live data
with pos_lock:
if ca not in state["positions"]:
continue
if cur_price > state["positions"][ca].get("peak_price", 0):
state["positions"][ca]["peak_price"] = cur_price
state["positions"][ca]["net_pnl_pct"] = net_pct
state["positions"][ca]["age_min"] = age_min
if cur_mc > 0: state["positions"][ca]["current_mc"] = cur_mc
if cur_liq > 0: state["positions"][ca]["current_liq"] = cur_liq
peak = state["positions"][ca]["peak_price"]
# [C3] Read live token_amount for subsequent calculations
live_token_amount = state["positions"][ca]["token_amount"]
live_buy_sol = state["positions"][ca]["buy_sol"]
# [H2] Check sell failure count
if pos.get("sell_fail_count", 0) >= getattr(config, 'MAX_SWAP_FAILS', 3):
# Exceeded retry limit, skip this cycle
continue
# ── EXIT 0: Liquidity emergency exit ──
if cur_liq > 0 and cur_liq < config.LIQ_EMERGENCY:
close_position(ca, 1.0, "RUG_LIQ", net_pct); continue
# ── EXIT 1: Dust cleanup ──
value_usd = live_token_amount * cur_price # [C3] Use live value
if value_usd < config.MIN_POSITION_VALUE_USD:
close_position(ca, 1.0, "DUST", net_pct); continue
# ── EXIT 2: Hard stop loss ──
if cur_price <= pos["sl_price"]:
close_position(ca, 1.0, "SL", net_pct); continue
# ── EXIT 3: Time-decay SL ── [C1] Sort by after_min descending
if pos["tp_tier"] == 0:
decay_closed = False
for rule in sorted(config.TIME_DECAY_SL, key=lambda r: r["after_min"], reverse=True):
if age_min >= rule["after_min"]:
decay_sl = entry_price * (1 + rule["sl_pct"])
if cur_price <= decay_sl:
close_position(ca, 1.0,
f"DECAY_SL({rule['sl_pct']:.0%})", net_pct)
decay_closed = True
break
if decay_closed: # [H1]
continue
with pos_lock:
if ca not in state["positions"]:
continue
# ── EXIT 4: Tiered take profit (cost-aware) ──
tp_tiers = config.TP_TIERS
current_tp = pos["tp_tier"]
if current_tp < len(tp_tiers):
tp = tp_tiers[current_tp]
tp_threshold = tp["pct"] * 100 + be_offset
if pct >= tp_threshold:
ratio = tp["sell"]
with pos_lock:
if ca in state["positions"]:
state["positions"][ca]["tp_tier"] = current_tp + 1
reason = f"TP{current_tp + 1}"
close_position(ca, ratio, reason, net_pct)
continue # [C2] Also continue after partial sell, prevent double sell in same cycle
with pos_lock:
if ca not in state["positions"]:
continue
# ── EXIT 5: Trailing stop ──
peak_pct = (peak - entry_price) / entry_price * 100
if peak_pct >= config.TRAIL_ACTIVATE * 100:
drop_from_peak = (peak - cur_price) / peak * 100
if drop_from_peak >= config.TRAIL_DISTANCE * 100:
close_position(ca, 1.0, "TRAIL", net_pct); continue
# ── EXIT 6: Trend time stop ──
if age_min >= config.TIME_STOP_MIN_HOLD_MIN:
if check_trend_stop(ca):
close_position(ca, 1.0, "TREND_STOP", net_pct); continue
# ── EXIT 7: Hard time stop ──
if age_min >= config.TIME_STOP_MAX_HOLD_HRS * 60:
close_position(ca, 1.0, "TIME_STOP", net_pct); continue
# Risk check post-trade monitoring (throttled 60s)
_rlc = pos.get("risk_last_checked", 0)
if now - _rlc >= 60:
with pos_lock:
if ca in state["positions"]:
state["positions"][ca]["risk_last_checked"] = now
_eliq = pos.get("entry_liquidity_usd", 0)
_et10 = pos.get("entry_top10", 0)
_esp = pos.get("entry_sniper_pct", 0)
def _run_rc(_ca=ca, _sym=pos.get("symbol", "?"), _el=_eliq, _t10=_et10, _sp=_esp):
try:
flags = post_trade_flags(_ca, _sym, entry_liquidity_usd=_el, entry_top10=_t10, entry_sniper_pct=_sp)
for flag in flags:
feed(f"🛡️ {_sym} {flag}")
if flag.startswith("EXIT_NOW"):
close_position(_ca, 1.0, f"RISK:{flag[:30]}", 0)
break
except Exception:
pass
threading.Thread(target=_run_rc, daemon=True).start()
with pos_lock:
save_positions()
def close_position(ca, sell_ratio, reason, net_pnl_pct):
"""
Sell position (full or partial).
sell_ratio: 0.0-1.0, e.g. 0.30 = sell 30%
Note: No longer accepts pos parameter, reads from live state [C3]
"""
with pos_lock:
if ca not in state["positions"]: return
if ca in _selling: return
_selling.add(ca)
# [C3] Read from live state, not snapshot
pos = dict(state["positions"][ca])
try:
symbol = pos.get("symbol", ca[:8])
token_amount = pos["token_amount"]
buy_sol = pos["buy_sol"]
sell_amount = token_amount * sell_ratio
# [M2] Check if int truncation results in 0
if sell_amount <= 0 or int(sell_amount) <= 0:
return
try:
result = execute_swap(ca, SOL_NATIVE, int(sell_amount), wallet_addr, is_buy=False)
tx_hash = result.get("txHash")
# [H2] Sell succeeded, reset failure count
with pos_lock:
if ca in state["positions"]:
state["positions"][ca]["sell_fail_count"] = 0
except Exception as e:
feed(f"SELL FAIL {symbol} [{reason}]: {e}")
# [H2] Record sell failure
with pos_lock:
if ca in state["positions"]:
state["positions"][ca]["sell_fail_count"] = \
state["positions"][ca].get("sell_fail_count", 0) + 1
fail_count = state["positions"][ca]["sell_fail_count"]
max_fails = getattr(config, 'MAX_SWAP_FAILS', 3)
if fail_count >= max_fails:
feed(f"⚠️ {symbol}: {fail_count} consecutive sell failures, pausing retries")
return
# Record trade [C4] Use current buy_sol (already proportionally reduced)
pnl_sol = buy_sol * sell_ratio * (net_pnl_pct / 100)
record_trade(ca, pos, reason, net_pnl_pct, sell_ratio,
result.get("txHash"), pnl_sol)
with pos_lock:
if sell_ratio >= 0.999:
state["positions"].pop(ca, None)
cooldown_map[ca] = time.time() + COOLDOWN_SEC
else:
if ca in state["positions"]:
state["positions"][ca]["token_amount"] = token_amount - sell_amount
# [C4] Reduce buy_sol proportionally
state["positions"][ca]["buy_sol"] = buy_sol * (1 - sell_ratio)
# Dust check — use current price, not entry_price
cur_price = state["positions"][ca].get("current_price", pos["entry_price"])
remaining_value = state["positions"][ca]["token_amount"] * cur_price
if remaining_value < 0.001:
state["positions"].pop(ca, None)
cooldown_map[ca] = time.time() + COOLDOWN_SEC
save_positions()
feed(f"SELL {symbol} [{reason}] {sell_ratio:.0%} net:{net_pnl_pct:+.1f}%"
+ (f" tx:{tx_hash[:8]}" if tx_hash else ""))
with state_lock:
state["stats"]["sells"] += 1
state["stats"]["net_sol"] = round(state["stats"]["net_sol"] + pnl_sol, 6)
finally:
with pos_lock:
_selling.discard(ca)
def record_trade(ca, pos, reason, net_pnl_pct, sell_ratio, tx_hash=None, pnl_sol=0):
"""Record trade history + update session risk control state"""
# [L4] tradeId adds random suffix to prevent collision
rand_suffix = ''.join(random.choices(string.ascii_lowercase, k=4))
trade = {
"tradeId": f"sell-{int(time.time())}-{ca[:4]}-{rand_suffix}",
"timestamp": int(time.time()),
"direction": "sell",
"tokenAddress": ca,
"symbol": pos.get("symbol", ca[:8]),
"label": pos.get("label", ""),
"tier": pos.get("tier", ""),
"entry_mc": pos.get("entry_mc", 0),
"exit_mc": pos.get("current_mc", 0),
"sol_in": pos["buy_sol"] * sell_ratio,
"pnl_pct": net_pnl_pct + pos.get("breakeven_pct", 0),
"net_pnl_pct": net_pnl_pct,
"pnl_sol": round(pnl_sol, 6),
"reason": reason,
"txHash": tx_hash or "",
"mode": "paper" if config.DRY_RUN else "live",
"t": datetime.now().strftime("%H:%M:%S"),
}
# [H5][M4] Hold both locks together to prevent list/file divergence
with state_lock:
state["trades"].insert(0, trade)
state["trades"] = state["trades"][:100]
with trades_lock:
save_trades()
# Session risk control
if net_pnl_pct < 0:
record_loss(pnl_sol)
else:
record_win()
def run(wa):
"""Main loop: poll signals every POLL_INTERVAL_SEC seconds → filter → buy"""
# [H4] Set module-level wallet_addr
global wallet_addr
wallet_addr = wa
feed(f"Engine started | {'PAPER' if config.DRY_RUN else 'LIVE'} | "
f"PAUSED={config.PAUSED} | poll={config.POLL_INTERVAL_SEC}s | max_pos={config.MAX_POSITIONS}")
while True:
# [H3] config reload only in main thread
_prev_dry_run = config.DRY_RUN
_prev_paused = config.PAUSED
try:
importlib.reload(config)
except Exception as e:
# [M6] Log warning on reload failure, keep old config
feed(f"⚠️ config reload failed: {e}")
# [H6] Critical parameter change warning
if config.DRY_RUN != _prev_dry_run:
mode = "LIVE ⚠️ Real trading" if not config.DRY_RUN else "PAPER Mode"
feed(f"🔄 Mode switched → {mode}")
if config.PAUSED != _prev_paused:
feed(f"🔄 PAUSED → {config.PAUSED}")
with state_lock:
state["stats"]["cycle"] = state["stats"].get("cycle", 0) + 1
# [L1] Clean up expired cooldowns
cleanup_cooldown()
# PAUSED and Session risk control still fetch signals (visible in Dashboard), just don't open positions
# can_enter() already checks PAUSED and Session state, will block actual buys
try:
signals = onchainos('signal', 'list',
'--chain', 'solana',
'--wallet-type', ','.join(str(l) for l in config.SIGNAL_LABELS),
'--min-address-count', str(config.MIN_WALLET_COUNT),
'--min-market-cap-usd', str(config.MIN_MCAP),
'--min-liquidity-usd', str(config.MIN_LIQUIDITY))
except Exception as e:
feed(f"ERROR signal list: {e}")
time.sleep(config.POLL_INTERVAL_SEC); continue
if not signals:
time.sleep(config.POLL_INTERVAL_SEC); continue
for signal in (signals if isinstance(signals, list) else [signals]):
try:
open_position(signal, wallet_addr)
except Exception as e:
feed(f"ERROR open_position: {e}")
time.sleep(config.API_DELAY_SEC)
time.sleep(config.POLL_INTERVAL_SEC)
# ── Dashboard ─────────────────────────────────────────────────────────────────
_dashboard_html_path = PROJECT_DIR / "dashboard.html"
class Handler(BaseHTTPRequestHandler):
def log_message(self, *a): pass
def do_GET(self):
if self.path == '/api/state':
with state_lock:
snap = dict(state)
snap["trades"] = list(state["trades"]) # [H5] Copy within lock
with pos_lock:
snap["positions"] = dict(state["positions"])
snap["session_risk"] = dict(session_risk)
snap["config"] = {
"paused": config.PAUSED,
"dry_run": config.DRY_RUN,
"max_positions": config.MAX_POSITIONS,
}
body = json.dumps(snap, ensure_ascii=False, default=str).encode()
self.send_response(200)
self.send_header('Content-Type', 'application/json; charset=utf-8')
self.send_header('Access-Control-Allow-Origin', '*')
self.end_headers()
self.wfile.write(body)
elif self.path in ('/', '/index.html'):
try:
html = _dashboard_html_path.read_text()
except FileNotFoundError:
html = "<h1>dashboard.html not found</h1>"
self.send_response(200)
self.send_header('Content-Type', 'text/html; charset=utf-8')
self.end_headers()
self.wfile.write(html.encode())
else:
self.send_response(404)
self.end_headers()
def start_dashboard():
port = getattr(config, 'DASHBOARD_PORT', 3248)
HTTPServer.allow_reuse_address = True
server = HTTPServer(("127.0.0.1", port), Handler)
threading.Thread(target=server.serve_forever, daemon=True).start()
print(f" Dashboard: http://localhost:{port}")
# ── Entry Point ──────────────────────────────────────────────────────────────
if __name__ == "__main__":
print("=" * 55)
print(" Smart Money Signal Copy Trade v1.0 — Agentic Wallet TEE")
load_state()
# Live mode: get wallet address
if not config.DRY_RUN:
try:
addrs = onchainos('wallet', 'addresses', '--chain', '501')
# Handle nested format: data.solana[{address, chainIndex}]
sol_addrs = addrs.get("solana", []) if isinstance(addrs, dict) else []
if sol_addrs:
wallet_addr = sol_addrs[0].get("address", "")
else:
# Fallback: flat list format
for chain in (addrs if isinstance(addrs, list) else [addrs]):
if chain.get("chainIndex") == 501 or chain.get("chainIndex") == "501" or "solana" in str(chain).lower():
wallet_addr = chain.get("address", "")
break
if not wallet_addr:
print(" ERROR: No Solana address. Run: onchainos wallet login <email>")
exit(1)
print(f" Wallet: {wallet_addr[:8]}...{wallet_addr[-4:]}")
except Exception as e:
print(f" ERROR: {e}")
exit(1)
else:
print(" Mode: PAPER TRADE")
port = getattr(config, 'DASHBOARD_PORT', 3248)
print(f" Dashboard: http://localhost:{port}")
print(f" Max: {config.MAX_POSITIONS} positions")
print(f" PAUSED: {config.PAUSED}" + (" ← Change config.py PAUSED=False to start trading" if config.PAUSED else ""))
print("=" * 55)
# Graceful shutdown handler
def _shutdown_handler(signum, frame):
print(f"\n Received signal {signum}, shutting down...")
with pos_lock:
n = len(state["positions"])
if n > 0:
print(f" ⚠️ WARNING: {n} position(s) still open on-chain!")
print(f" Positions saved in {POSITIONS_FILE}, will resume on next start.")
else:
print(" No open positions.")
print(" Done.")
sys.exit(0)
signal.signal(signal.SIGINT, _shutdown_handler)
signal.signal(signal.SIGTERM, _shutdown_handler)
start_dashboard()
# Start position monitoring thread
threading.Thread(target=monitor_positions, daemon=True).start()
# Start main loop
run(wallet_addr)
"""
Smart Money Signal Copy Trade v1.0 — Strategy Configuration
Modify this file to adjust strategy parameters without changing bot.py
⚠️ Disclaimer:
This script and all parameter configurations are provided solely for educational
research and technical reference purposes. They do not constitute any investment advice.
Cryptocurrency trading (especially meme coins) carries extremely high risk, including but not limited to:
- Smart money signals do not guarantee profits; signal delays and market reversals can happen at any time
- Copy trading strategies essentially follow others' decisions; signal source quality cannot be guaranteed
- On-chain transactions are irreversible; once executed they cannot be undone
- Low market cap tokens have poor liquidity and may not sell at the expected price
Users should adjust all parameters based on their own risk tolerance and assume
full responsibility for any losses incurred from using this strategy.
It is recommended to test thoroughly in Paper Mode first.
"""
# ── Run Mode ──────────────────────────────────────────────────────────────
PAUSED = True # True=Paused (no new positions), False=Normal trading
DRY_RUN = True # True=Paper (recommended to test first), False=Live
# ── Chain ────────────────────────────────────────────────────────────────────
CHAIN_ID = 501 # Solana
# ── Signal filters ──────────────────────────────────────────────────────────
# Smart Money strategy core: multiple smart wallets co-riding the same buy = consensus signal.
# MIN_WALLET_COUNT is the most critical filter parameter; ≥3 is statistically meaningful.
SIGNAL_LABELS = [1, 2, 3] # 1=SmartMoney 2=KOL 3=Whale
MIN_WALLET_COUNT = 3 # Min co-rider wallet count (recommend ≥3)
PAGE_SIZE = 20 # Signals fetched per cycle (API max=20)
MAX_SELL_RATIO = 0.80 # Sell ratio >80% skip (most already sold = stale signal)
# ── Token safety thresholds ─────────────────────────────────────────────────
# Smart Money strategy covers a wide market cap range, but must ensure basic liquidity and community base.
# The following thresholds are aligned with the skill.md startup protocol.
MIN_MCAP = 200_000 # USD — Minimum $200K market cap
MIN_LIQUIDITY = 80_000 # USD — Minimum $80K liquidity
MIN_HOLDERS = 300 # Sufficient holder dispersion
MIN_LIQ_MC_RATIO = 0.05 # liq/MC >= 5% — Liquidity depth
MAX_TOP10_HOLDER_PCT = 50.0 # Top 10 holdings ≤ 50% — Prevent concentrated control
MIN_LP_BURN = 80 # LP burn >= 80% — Prevent pool drain
MIN_HOLDER_DENSITY = 50 # Min 50 holders per million MC
# ── Dev/Bundler safety ──────────────────────────────────────────────────────
# Smart Money strategy emphasizes token fundamentals safety due to longer hold times.
DEV_MAX_LAUNCHED = 20 # dev launched >20 tokens = token farm
DEV_MAX_RUG_RATIO = 0.0 # Reserved for compatibility
DEV_MAX_RUG_COUNT = 5 # Dev rug count absolute cap (fallback beyond rate-based logic)
DEV_MAX_HOLD_PCT = 15.0 # Dev holding >15% skip
BUNDLE_MAX_ATH_PCT = 25.0 # Bundler ATH >25% skip
BUNDLE_MAX_COUNT = 5 # Bundler >5 skip
# ── Position sizing (tiered by signal strength) ────────────────────────────
# Position sized by co-rider wallet count: more consensus = higher confidence = larger position.
# Users can scale proportionally based on total budget.
POSITION_TIERS = {
"high": {"min_addr": 8, "sol": 0.020}, # ≥8 wallets → 0.020 SOL
"mid": {"min_addr": 5, "sol": 0.015}, # ≥5 wallets → 0.015 SOL
"low": {"min_addr": 3, "sol": 0.010}, # ≥3 wallets → 0.010 SOL
}
SLIPPAGE_PCT = 3 # % — Recommend 3-5% for meme coins
MAX_PRICE_IMPACT = 5 # %
MAX_POSITIONS = 6 # Max concurrent positions — Diversify risk
# ── Cost model ──────────────────────────────────────────────────────────────
FIXED_COST_SOL = 0.001 # priority_fee×2 + rent
COST_PER_LEG_PCT = 1.0 # gas + slippage + DEX fee per leg
# ── Take-profit (cost-aware, NET targets) ──────────────────────────────────
# Smart Money strategy: following consensus signals, tokens have fundamental support, can let profits run moderately.
# NET = Actual profit rate after deducting fees, ensuring every TP is truly profitable.
TP_TIERS = [
{"pct": 0.05, "sell": 0.30}, # +5% net → sell 30% — Recover cost first
{"pct": 0.15, "sell": 0.40}, # +15% net → sell 40% — Lock in profits
{"pct": 0.30, "sell": 1.00}, # +30% net → sell remaining — Close position
]
TRAIL_ACTIVATE = 0.12 # activate trailing after +12%
TRAIL_DISTANCE = 0.10 # exit if price drops 10% from peak
# ── Stop-loss ──────────────────────────────────────────────────────────────
# Smart Money strategy holds positions longer; stop loss can be moderately relaxed to allow profit room to develop.
SL_MULTIPLIER = 0.90 # -10% hard stop
LIQ_EMERGENCY = 5_000 # emergency exit if liquidity < $5K
# ── Time-decay SL ──────────────────────────────────────────────────────────
# The longer a position is held without profit, the more likely the signal has expired; progressively tighten stop loss.
TIME_DECAY_SL = [
{"after_min": 60, "sl_pct": -0.05}, # After 60min, SL tightens to -5%
{"after_min": 30, "sl_pct": -0.08}, # After 30min, SL tightens to -8%
{"after_min": 15, "sl_pct": -0.10}, # After 15min, keep -10%
]
# ── Trend time stop ────────────────────────────────────────────────────────
TIME_STOP_MIN_HOLD_MIN = 30 # Do not trigger before 30min
TIME_STOP_CANDLE_BAR = "15m" # Candle timeframe
TIME_STOP_REVERSAL_VOL = 0.8 # Trend reversal confirmation
TIME_STOP_MAX_HOLD_HRS = 4 # Hard max hold time
# ── Session risk management ────────────────────────────────────────────────
MAX_CONSEC_LOSS = 3 # 3 consecutive losses → Pause
PAUSE_CONSEC_SEC = 600 # Pause for 10 minutes
SESSION_LOSS_LIMIT_SOL = 0.05 # Cumulative loss 0.05 SOL → Pause 30min
SESSION_LOSS_PAUSE_SEC = 1800 # 30 minutes
SESSION_STOP_SOL = 0.10 # Cumulative loss 0.10 SOL → Stop trading
# ── Entry safety ───────────────────────────────────────────────────────────
MAX_K1_PCT_ENTRY = 15.0 # 1m K1 >15% = Chasing pump
SAFE_PLATFORMS = {"pump", "bonk"} # Low market cap platform whitelist
PLATFORM_MCAP_THRESH = 2_000_000 # Enable platform filter below $2M
# ── Timing ─────────────────────────────────────────────────────────────────
POLL_INTERVAL_SEC = 20 # Signal polling interval
API_DELAY_SEC = 1.5 # onchainos call interval
ORDER_TIMEOUT_SEC = 120 # Trade confirmation timeout
# ── Safety ─────────────────────────────────────────────────────────────────
SOL_GAS_RESERVE = 0.05 # SOL reserved for fees
MAX_SWAP_FAILS = 3 # Consecutive swap failure count
MIN_POSITION_VALUE_USD = 0.10 # Dust cleanup threshold
# ── Dashboard ──────────────────────────────────────────────────────────────
DASHBOARD_PORT = 3248
"""
risk_check.py — Standalone pre/post trade risk assessment for Solana meme tokens.
Drop-in module for any skill: Top Rank Tokens Sniper, Smart Money Signal Copy Trade, Meme Trench Scanner, or future strategies.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
OVERVIEW
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Two public functions:
pre_trade_checks(addr, sym) — pre-trade gate. Call before entering any position.
post_trade_flags(addr, sym) — post-trade monitor. Call periodically while in position.
All data comes from onchainos CLI (~/.local/bin/onchainos). No extra API keys needed.
Requires onchainos v2.1.0+.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
SEVERITY GRADES
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Grade 4 — HARD BLOCK. Do not enter. Abort immediately.
Triggers: honeypot, buy/sell tax >50%, dev actively removing liquidity,
liquidity <$5K, OKX riskControlLevel ≥4, active dev/insider dump ≥5 SOL/min.
Grade 3 — STRONG WARNING. Do not enter. Too risky.
Triggers: serial rugger (≥3 rugs), rug rate >50%, LP <80% burned,
volume plunge tag, snipers >15%,
suspicious wallets >10%, soft rug velocity 1–5 SOL/min,
single LP provider with unburned LP, wash trading (round-trip wallets),
coordinated holder sells (dev/whale/insider/sniper ≥2 sells in 10 min).
Grade 2 — CAUTION. Proceed with awareness. Log the flags.
Triggers: top 10 wallets hold >30%, bundles still in >5%, dev sold all (non-CTO),
paid DexScreener listing, no smart money detected.
Grade 0 — PASS. All checks clear.
result["pass"] is True when grade < 3 (grades 0 and 2 are both tradeable).
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
PRE-TRADE INTEGRATION (pre_trade_checks)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Call this BEFORE the swap/buy, after basic filters (liquidity, MC) pass.
Store the entry snapshots from result["raw"] on the position record for
post-trade monitoring — they are needed by post_trade_flags().
import sys, os
sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
from risk_check import pre_trade_checks, post_trade_flags
# --- Pre-trade gate (quick=True: 4 calls, ~0.8s — includes wash trading check) ---
result = pre_trade_checks(token_address, token_symbol, quick=True)
if result["grade"] >= 4:
log(f"BLOCKED {sym} — {result['reasons']}")
return # hard stop, do not trade
if result["grade"] == 3:
log(f"WARN {sym} — {result['reasons']}")
return # too risky, skip
if result["grade"] == 2:
log(f"CAUTION {sym} — {result['cautions']}")
# proceed but note the flags
# --- Execute buy ---
execute_swap(...)
# --- Persist entry snapshots for post-trade use ---
position["entry_liquidity_usd"] = result["raw"]["liquidity_usd"]
position["entry_top10"] = result["raw"]["info"].get("top10HoldPercent", 0)
position["entry_sniper_pct"] = result["raw"]["info"].get("sniperHoldingPercent", 0)
position["risk_last_checked"] = 0 # tracks throttle timestamp
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
POST-TRADE INTEGRATION (post_trade_flags)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Call this inside your position monitor loop. THROTTLE to once per 60 seconds
per position — each call makes 4–6 onchainos API requests.
IMPORTANT: Run post_trade_flags() in a background thread so it does not block
your monitor loop. It makes multiple sequential API calls (~1–2s) and must not
stall position updates, trailing stop logic, or TP/SL checks for other positions.
import threading
def _check_flags(pos):
flags = post_trade_flags(
pos["address"],
pos["symbol"],
entry_liquidity_usd = pos["entry_liquidity_usd"],
entry_top10 = pos["entry_top10"],
entry_sniper_pct = pos["entry_sniper_pct"],
)
for flag in flags:
log(flag)
if flag.startswith("EXIT_NOW"):
close_position(pos, reason=flag)
break
elif flag.startswith("EXIT_NEXT_TP"):
# tighten trailing stop or take partial profit early
pass
elif flag.startswith("REDUCE_POSITION"):
# cut size if partial sells are supported
pass
# --- Inside monitor loop, per open position (throttled to once per 60s) ---
now = time.time()
if now - position.get("risk_last_checked", 0) >= 60:
position["risk_last_checked"] = now
threading.Thread(target=_check_flags, args=(position,), daemon=True).start()
Post-trade flag meanings:
EXIT_NOW: ... — close immediately (dev rug, liquidity drain >30%, active dump, holder selling)
EXIT_NEXT_TP: ... — exit at next take profit or trailing stop (volume plunge, soft rug)
REDUCE_POSITION: ... — cut position size (sniper spike)
ALERT: ... — informational, no action required
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
CLI USAGE (standalone token check)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
python3 risk_check.py <token_address> [symbol]
Example:
python3 risk_check.py 58piN8dJJBcjHj28LZzTGJTygAX6DoF22sfY1R7Apump horseballs
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
WHAT IT CHECKS (data sources)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
[quick + full mode]
security token-scan → honeypot flag, buy/sell tax
token advanced-info → dev rug history, LP burn %, sniper %, tokenTags,
riskControlLevel, top10 hold %, bundle %, suspicious wallets
token price-info → liquidity USD snapshot
token trades → all recent trades (wash trading: round-trip + concentration)
[full mode only — quick=False]
token liquidity → LP pool creators (concentration check)
token trades --tag-filter → dev (2), whale (4), insider (6), sniper (7) sell activity
used for: selling velocity + holder sell coordination
"""
import subprocess, json, os, time
from collections import defaultdict
_ONCHAINOS = os.path.expanduser("~/.local/bin/onchainos")
_CHAIN = "solana"
_CHAIN_ID = "501"
# Selling velocity — SOL sold per minute thresholds
_SELL_VEL_WARN_SOL_PM = 1.0 # G3: > 1 SOL/min from dev/insiders
_SELL_VEL_BLOCK_SOL_PM = 5.0 # G4: > 5 SOL/min (active dump)
# Wash trading — round-trip detection thresholds
_WASH_ROUNDTRIP_RATIO = 0.50 # G3: ≥50% of active wallets round-tripped alone
_WASH_ROUNDTRIP_SOFT = 0.30 # G3: ≥30% round-tripped AND concentration above threshold
_WASH_CONC_THRESHOLD = 0.40 # top-3 wallets driving >40% of all trades = suspicious
# LP checks
_LP_SINGLE_PROVIDER_WARN = True # G3: single LP provider + LP not burned
_LP_DRAIN_EXIT_PCT = 0.30 # post-trade: exit if liquidity drops > 30%
# ── Internal CLI wrapper ───────────────────────────────────────────────────────
def _onchainos(*args, timeout: int = 20) -> dict:
try:
r = subprocess.run([_ONCHAINOS, *args],
capture_output=True, text=True, timeout=timeout)
return json.loads(r.stdout)
except Exception:
return {"ok": False, "data": None}
def _data(r: dict):
d = r.get("data")
if isinstance(d, list):
return d[0] if d else {}
return d or {}
def _data_list(r: dict) -> list:
d = r.get("data")
return d if isinstance(d, list) else []
# ── API calls ─────────────────────────────────────────────────────────────────
def _security_scan(addr: str) -> dict:
r = _onchainos("security", "token-scan",
"--tokens", f"{_CHAIN_ID}:{addr}")
d = _data(r)
return d if isinstance(d, dict) else {}
def _advanced_info(addr: str) -> dict:
r = _onchainos("token", "advanced-info",
"--chain", _CHAIN, "--address", addr)
d = _data(r)
return d if isinstance(d, dict) else {}
def _liquidity_usd(addr: str) -> float:
"""Current total liquidity in USD from price-info."""
r = _onchainos("token", "price-info",
"--chain", _CHAIN, "--address", addr)
items = _data_list(r)
if not items:
items = [_data(r)]
for item in items:
if isinstance(item, dict) and item.get("liquidity"):
try:
return float(item["liquidity"])
except (ValueError, TypeError):
pass
return -1.0
def _lp_pools(addr: str) -> list:
"""Top LP pools with creator info."""
r = _onchainos("token", "liquidity",
"--chain", _CHAIN, "--address", addr)
return _data_list(r)
def _tagged_trades(addr: str, tag: int, limit: int = 50) -> list:
"""Trades filtered by wallet tag (2=dev, 4=whale, 6=insider, 7=sniper)."""
r = _onchainos("token", "trades",
"--chain", _CHAIN, "--address", addr,
"--tag-filter", str(tag),
"--limit", str(limit))
return _data_list(r)
def _recent_trades(addr: str, limit: int = 100) -> list:
"""All recent trades."""
r = _onchainos("token", "trades",
"--chain", _CHAIN, "--address", addr,
"--limit", str(limit))
return _data_list(r)
# ── Helpers ───────────────────────────────────────────────────────────────────
def _tags(info: dict) -> list:
return info.get("tokenTags") or []
def _has_tag(info: dict, prefix: str) -> bool:
return any(t.startswith(prefix) for t in _tags(info))
def _pct(info: dict, field: str) -> float:
v = info.get(field, "") or ""
try:
return float(v)
except (ValueError, TypeError):
return -1.0
def _int(info: dict, field: str) -> int:
v = info.get(field, 0) or 0
try:
return int(v)
except (ValueError, TypeError):
return 0
def _trade_sol(trade: dict) -> float:
"""Extract SOL amount from a trade's changedTokenInfo."""
for t in trade.get("changedTokenInfo", []):
if t.get("tokenSymbol") in ("SOL", "wSOL"):
try:
return float(t.get("amount", 0))
except (ValueError, TypeError):
pass
try:
return float(trade.get("volume", 0))
except (ValueError, TypeError):
return 0.0
# ── Check 1: Selling velocity (dev + insider sells) ───────────────────────────
def _selling_velocity(addr: str) -> tuple:
"""
Returns (sol_per_min, reason_str).
Checks dev (tag=2) + insider (tag=6) sells over last 50 trades.
Detects soft rugs: steady sell pressure from privileged wallets.
"""
sells_by_wallet = defaultdict(list) # wallet -> [(timestamp_ms, sol)]
for tag in (2, 6): # dev + insider
for trade in _tagged_trades(addr, tag, limit=50):
if trade.get("type") != "sell":
continue
ts = int(trade.get("time", 0))
sol = _trade_sol(trade)
if sol > 0 and ts > 0:
sells_by_wallet[trade.get("userAddress", "?")].append((ts, sol))
if not sells_by_wallet:
return 0.0, ""
now_ms = int(time.time() * 1000)
window = 5 * 60 * 1000 # 5-minute window
total_sol = 0.0
wallets = []
for wallet, events in sells_by_wallet.items():
recent = [(ts, sol) for ts, sol in events if now_ms - ts <= window]
if recent:
sol_sum = sum(s for _, s in recent)
total_sol += sol_sum
wallets.append(f"{wallet[:8]}…({sol_sum:.2f}SOL)")
if total_sol == 0:
return 0.0, ""
elapsed_min = window / 60000
sol_pm = total_sol / elapsed_min
detail = f"{sol_pm:.2f} SOL/min — {', '.join(wallets)}"
return sol_pm, detail
# ── Check 2: LP provider concentration ────────────────────────────────────────
def _lp_provider_check(addr: str, lp_burned: float) -> tuple:
"""
Returns (is_risky, reason_str).
Single LP provider + LP not burned = high rug risk.
"""
pools = _lp_pools(addr)
if not pools:
return False, ""
# Count unique creators across pools with meaningful liquidity
creators = set()
for pool in pools:
liq = 0.0
try:
liq = float(pool.get("liquidityUsd", 0))
except (ValueError, TypeError):
pass
if liq > 100: # ignore dust pools
creator = pool.get("poolCreator", "")
if creator:
creators.add(creator)
if len(creators) == 1 and lp_burned < 80:
creator = next(iter(creators))
total_liq = sum(
float(p.get("liquidityUsd", 0) or 0) for p in pools
)
return (
True,
f"SINGLE_LP_PROVIDER — {creator[:12]}… controls "
f"${total_liq:,.0f} liquidity, LP only {lp_burned:.0f}% burned"
)
return False, ""
# ── Check 3: Wash trading ─────────────────────────────────────────────────────
def _wash_trading_check(addr: str) -> tuple:
"""
Returns (is_wash, reason_str).
Detects wash trading via two signals:
1. Round-trip wallets — wallets that both buy AND sell within a 5-min window.
Flags if ≥50% of active wallets are round-tripping (strong signal alone),
or ≥30% round-tripping AND top-3 wallets drive >40% of trades (combined signal).
2. Wallet concentration — high trade share from a tiny set of wallets amplifies
the round-trip signal, indicating coordinated volume inflation.
Uses 200 recent trades for statistical reliability (~0.2s, one API call).
"""
trades = _recent_trades(addr, limit=200)
if len(trades) < 15:
return False, ""
wallet_buys = defaultdict(list) # wallet -> [timestamp_ms, ...]
wallet_sells = defaultdict(list)
wallet_count = defaultdict(int)
for t in trades:
w = t.get("userAddress", "")
ts = int(t.get("time", 0))
if not w or ts == 0:
continue
wallet_count[w] += 1
if t.get("type") == "buy":
wallet_buys[w].append(ts)
else:
wallet_sells[w].append(ts)
active_wallets = set(wallet_buys) | set(wallet_sells)
if not active_wallets:
return False, ""
# Round-trip: any buy followed by a sell from the same wallet within 5 min
window_ms = 5 * 60 * 1000
rt_wallets = 0
for w in active_wallets:
buys = sorted(wallet_buys[w])
sells = sorted(wallet_sells[w])
if not buys or not sells:
continue
if any(any(s > b and s - b <= window_ms for s in sells) for b in buys):
rt_wallets += 1
total_wallets = len(active_wallets)
rt_ratio = rt_wallets / total_wallets
# Wallet concentration: top-3 wallets share of all trades
top3 = sum(c for _, c in sorted(wallet_count.items(), key=lambda x: -x[1])[:3])
concentration = top3 / len(trades)
if rt_ratio >= _WASH_ROUNDTRIP_RATIO:
return (
True,
f"WASH_TRADING — {rt_wallets}/{total_wallets} wallets round-tripped "
f"({rt_ratio*100:.0f}%) within 5-min windows"
)
if rt_ratio >= _WASH_ROUNDTRIP_SOFT and concentration >= _WASH_CONC_THRESHOLD:
return (
True,
f"WASH_TRADING — {rt_wallets}/{total_wallets} wallets round-tripped "
f"({rt_ratio*100:.0f}%) + top-3 wallets drive {concentration*100:.0f}% of volume"
)
return False, ""
# ── Check 4: Holder sell transfers ────────────────────────────────────────────
def _holder_sell_check(addr: str) -> tuple:
"""
Returns (is_selling, reason_str).
Detects coordinated sells from tagged wallets (dev, whale, insider, sniper).
Pre-trade: catch early distribution before price drops.
"""
tag_names = {2: "Dev", 4: "Whale", 6: "Insider", 7: "Sniper"}
now_ms = int(time.time() * 1000)
window = 10 * 60 * 1000 # 10-minute window
findings = []
for tag, label in tag_names.items():
trades = _tagged_trades(addr, tag, limit=30)
recent_sells = [
t for t in trades
if t.get("type") == "sell"
and now_ms - int(t.get("time", 0)) <= window
]
if len(recent_sells) >= 2:
sol = sum(_trade_sol(t) for t in recent_sells)
findings.append(f"{label}×{len(recent_sells)}({sol:.2f}SOL)")
if findings:
return True, "HOLDER_SELLING — " + ", ".join(findings) + " in last 10min"
return False, ""
# ── Core risk check ───────────────────────────────────────────────────────────
def pre_trade_checks(addr: str, sym: str, quick: bool = False) -> dict:
"""
Run pre-trade risk assessment.
quick=True — fast mode (4 API calls, ~0.8s). Use for pre-trade gates.
Runs: security scan + advanced-info + price-info + wash trading.
Skips: selling velocity, LP provider, holder sells.
Those slow checks are better handled by post_trade_flags() monitoring.
quick=False — full mode (11 API calls, ~22–33s). Use for manual analysis only.
Returns:
{
"pass": bool,
"grade": int, # 4=block, 3=warn, 2=caution, 0=pass
"level": int, # alias for grade (backward compatibility)
"reasons": [str], # grade 4 + 3 failures
"cautions": [str], # grade 2 flags
"raw": {
"scan": dict,
"info": dict,
"liquidity_usd": float # snapshot for post-trade monitoring
}
}
"""
scan = _security_scan(addr)
info = _advanced_info(addr)
liq_usd = _liquidity_usd(addr)
lp_burned = _pct(info, "lpBurnedPercent")
reasons = []
cautions = []
level = 0
# ── Grade 4 — Hard Block ─────────────────────────────────────────────────
if scan.get("isRiskToken"):
reasons.append("G4: HONEYPOT — isRiskToken flagged by OKX")
level = 4
buy_tax = _pct(scan, "buyTaxes")
if buy_tax > 50:
reasons.append(f"G4: BUY_TAX {buy_tax:.0f}% > 50%")
level = 4
sell_tax = _pct(scan, "sellTaxes")
if sell_tax > 50:
reasons.append(f"G4: SELL_TAX {sell_tax:.0f}% > 50%")
level = 4
if _has_tag(info, "devRemoveLiq"):
tag = next(t for t in _tags(info) if t.startswith("devRemoveLiq"))
reasons.append(f"G4: DEV_REMOVING_LIQUIDITY — {tag}")
level = 4
if _has_tag(info, "lowLiquidity"):
reasons.append("G4: LOW_LIQUIDITY — total liquidity < $5K")
level = 4
risk_lvl = _int(info, "riskControlLevel")
if risk_lvl >= 4:
reasons.append(f"G4: OKX_RISK_LEVEL {risk_lvl} >= 4")
level = 4
# Selling velocity — active dump (slow check, full mode only)
vel_sol_pm, vel_detail = (0.0, "") if quick else _selling_velocity(addr)
if vel_sol_pm >= _SELL_VEL_BLOCK_SOL_PM:
reasons.append(f"G4: ACTIVE_DUMP — {vel_detail}")
level = 4
# ── Grade 3 — Strong Warning ─────────────────────────────────────────────
rug_count = _int(info, "devRugPullTokenCount")
dev_created = _int(info, "devCreateTokenCount")
if dev_created > 0:
rug_rate = rug_count / dev_created
if rug_rate >= 0.20 and rug_count >= 3:
reasons.append(
f"G3: SERIAL_RUGGER — {rug_count}/{dev_created} tokens rugged "
f"({rug_rate*100:.0f}%)"
)
level = max(level, 3)
elif rug_rate >= 0.05 and rug_count >= 2:
cautions.append(
f"G2: RUG_HISTORY — {rug_count}/{dev_created} tokens rugged "
f"({rug_rate*100:.0f}%)"
)
elif rug_count >= 5:
# devCreateTokenCount unavailable — fall back to flat count
reasons.append(f"G3: SERIAL_RUGGER — {rug_count} confirmed rug pulls (no total count)")
level = max(level, 3)
if 0 <= lp_burned < 80:
reasons.append(f"G3: LP_NOT_BURNED — {lp_burned:.1f}% burned (< 80%)")
level = max(level, 3)
if _has_tag(info, "volumeChangeRateVolumePlunge"):
reasons.append("G3: VOLUME_PLUNGE — trading activity collapsing")
level = max(level, 3)
sniper_pct = _pct(info, "sniperHoldingPercent")
if sniper_pct > 15:
reasons.append(f"G3: SNIPERS_HOLDING {sniper_pct:.1f}% > 15%")
level = max(level, 3)
suspicious_pct = _pct(info, "suspiciousHoldingPercent")
if suspicious_pct > 10:
reasons.append(f"G3: SUSPICIOUS_WALLETS {suspicious_pct:.1f}% > 10%")
level = max(level, 3)
# Wash trading — round-trip + concentration (fast: 1 extra API call, ~0.2s)
is_wash, wash_reason = _wash_trading_check(addr)
if is_wash:
reasons.append(f"G3: {wash_reason}")
level = max(level, 3)
# ── Slow checks — full mode only (post-trade covers these in real-time) ──
if not quick:
# Selling velocity — soft rug (steady bleed)
if 0 < vel_sol_pm < _SELL_VEL_BLOCK_SOL_PM and vel_sol_pm >= _SELL_VEL_WARN_SOL_PM:
reasons.append(f"G3: SOFT_RUG_VELOCITY — {vel_detail}")
level = max(level, 3)
# LP provider concentration
lp_risky, lp_reason = _lp_provider_check(addr, lp_burned)
if lp_risky:
reasons.append(f"G3: {lp_reason}")
level = max(level, 3)
# Holder selling — coordinated exits from tagged wallets
is_selling, sell_reason = _holder_sell_check(addr)
if is_selling:
reasons.append(f"G3: {sell_reason}")
level = max(level, 3)
# ── Grade 2 — Caution ────────────────────────────────────────────────────
top10 = _pct(info, "top10HoldPercent")
if top10 > 30:
cautions.append(f"G2: SUPPLY_CONCENTRATED — top 10 hold {top10:.1f}%")
level = max(level, 2)
bundle_pct = _pct(info, "bundleHoldingPercent")
if bundle_pct > 5:
cautions.append(f"G2: BUNDLES_STILL_IN {bundle_pct:.1f}% > 5%")
level = max(level, 2)
is_cto = _has_tag(info, "dexScreenerTokenCommunityTakeOver")
if _has_tag(info, "devHoldingStatusSellAll") and not is_cto:
cautions.append("G2: DEV_SOLD_ALL — dev exited (not a CTO)")
level = max(level, 2)
if _has_tag(info, "dsPaid"):
cautions.append("G2: PAID_LISTING — dexscreener listing was paid")
level = max(level, 2)
if not _has_tag(info, "smartMoneyBuy"):
cautions.append("G2: NO_SMART_MONEY — no smart money wallet detected")
level = max(level, 2)
# ── Result ────────────────────────────────────────────────────────────────
passed = level < 3
return {
"pass": passed,
"grade": level,
"level": level, # backward compat alias
"reasons": reasons,
"cautions": cautions,
"raw": {
"scan": scan,
"info": info,
"liquidity_usd": liq_usd,
},
}
# ── Post-trade monitoring ─────────────────────────────────────────────────────
def post_trade_flags(addr: str, sym: str,
entry_liquidity_usd: float = 0.0,
entry_top10: float = 0.0,
entry_sniper_pct: float = 0.0) -> list:
"""
Call periodically during position monitoring.
Returns list of action strings:
"EXIT_NOW: ..." — immediate exit required
"EXIT_NEXT_TP: ..." — exit at next TP or trailing stop
"REDUCE_POSITION: ..." — cut size
"ALERT: ..." — informational
"""
info = _advanced_info(addr)
liq_usd = _liquidity_usd(addr)
flags = []
# Dev removing liquidity — EXIT NOW
if _has_tag(info, "devRemoveLiq"):
tag = next((t for t in _tags(info) if t.startswith("devRemoveLiq")), "devRemoveLiq")
flags.append(f"EXIT_NOW: DEV_REMOVING_LIQUIDITY — {tag}")
# Liquidity drain > 30% since entry — EXIT NOW
if entry_liquidity_usd > 0 and liq_usd > 0:
drain_pct = (entry_liquidity_usd - liq_usd) / entry_liquidity_usd
if drain_pct >= _LP_DRAIN_EXIT_PCT:
flags.append(
f"EXIT_NOW: LIQUIDITY_DRAIN {drain_pct*100:.0f}% — "
f"${entry_liquidity_usd:,.0f} → ${liq_usd:,.0f}"
)
# Active dump from dev/insiders — EXIT NOW
vel_sol_pm, vel_detail = _selling_velocity(addr)
if vel_sol_pm >= _SELL_VEL_BLOCK_SOL_PM:
flags.append(f"EXIT_NOW: ACTIVE_DUMP — {vel_detail}")
# Holder selling — coordinated exits
is_selling, sell_reason = _holder_sell_check(addr)
if is_selling:
flags.append(f"EXIT_NOW: {sell_reason}")
# Volume collapsing — exit at next TP
if _has_tag(info, "volumeChangeRateVolumePlunge"):
flags.append("EXIT_NEXT_TP: VOLUME_PLUNGE — activity collapsing")
# Soft rug velocity
if 0 < vel_sol_pm < _SELL_VEL_BLOCK_SOL_PM and vel_sol_pm >= _SELL_VEL_WARN_SOL_PM:
flags.append(f"EXIT_NEXT_TP: SOFT_RUG_VELOCITY — {vel_detail}")
# Sniper spike
sniper_pct = _pct(info, "sniperHoldingPercent")
if sniper_pct > entry_sniper_pct + 5:
flags.append(
f"REDUCE_POSITION: SNIPER_SPIKE {sniper_pct:.1f}% "
f"(was {entry_sniper_pct:.1f}% at entry)"
)
# Top 10 concentration increase
top10 = _pct(info, "top10HoldPercent")
if top10 > 40 and top10 > entry_top10 + 5:
flags.append(
f"ALERT: TOP10_CONCENTRATION {top10:.1f}% "
f"(was {entry_top10:.1f}% at entry)"
)
return flags
# ── CLI usage ─────────────────────────────────────────────────────────────────
if __name__ == "__main__":
import sys
addr = sys.argv[1] if len(sys.argv) > 1 else ""
sym = sys.argv[2] if len(sys.argv) > 2 else addr[:8]
if not addr:
print("Usage: python3 risk_check.py <token_address> [symbol]")
sys.exit(1)
print(f"\n{'='*55}")
print(f" Risk Check — {sym}")
print(f" {addr}")
print(f"{'='*55}")
r = pre_trade_checks(addr, sym)
level_label = {0: "✅ PASS", 2: "⚠️ CAUTION", 3: "🚨 WARN", 4: "❌ BLOCK"}
print(f"\n Result: {level_label.get(r['level'], str(r['level']))}")
print(f" Liquidity: ${r['raw']['liquidity_usd']:,.0f}")
if r["reasons"]:
print("\n Blocks / Warnings:")
for reason in r["reasons"]:
print(f" • {reason}")
if r["cautions"]:
print("\n Cautions:")
for c in r["cautions"]:
print(f" • {c}")
print()
Overview
Smart Money Signal Copy Trade is a Solana copy-trading bot that polls OKX Smart Money, KOL, and Whale buy signals every 20 seconds, triggers entries on co-rider consensus (≥3 wallets buying the same token simultaneously), and manages exits via a 7-layer system with cost-aware take profit.
Core operations:
- Poll OKX Smart Money / KOL / Whale buy signals every 20 seconds
- Trigger entry only on co-rider consensus: ≥3 tracked wallets buying the same token simultaneously
- Run 15 pre-trade safety filters: market cap, liquidity, holders, dev rug, bundler, LP burn, K1 pump, and more
- Manage exits via 7-layer system: cost-aware TP1/TP2/TP3, hard stop, time-decay SL, trailing stop, trend stop, liquidity emergency
- Hot-reload config changes without restarting the bot
Tags: copy-trade smart-money kol whale solana onchainos signals
Prerequisites
- No IP/region restrictions
- Supported chain: Solana
- Supported tokens: Solana meme and trending tokens tracked by OKX Smart Money signals
- onchainos CLI ≥ 2.0.0 installed and authenticated (
onchainos --versionandonchainos wallet status) - Python 3.8+ (standard library only — no
pip installrequired) - Funded Solana wallet for live trading
Quick Start
1. Install the skill: plugin-store install smart-money-signal-copy-trade 2. Configure risk: Edit config.py to pick Conservative / Default / Aggressive and tune POSITION_TIERS, MAX_POSITIONS, MIN_WALLET_COUNT, TP_TIERS, SL_MULTIPLIER, TRAIL_ACTIVATE 3. Start in paper mode (default, DRY_RUN = True): Run python3 bot.py 4. Open dashboard: Visit http://localhost:3248 to monitor signals, positions, and smart money activity 5. Go live: Set PAUSED = False to allow new positions, then DRY_RUN = False to use real funds — re-confirm budget and loss limits before switching 6. Stop anytime: pkill -f bot.py