
Top Rank Tokens Sniper
- 68 installs
- 12 repo stars
- Updated August 3, 2026
- okx/plugin-store
Helps with ai & agent building tasks during AI-assisted development.
About
top-rank-tokens-sniper is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted coding.
- top-rank-tokens-sniper
- AI & Agent Building
- AI-coding skill
Top Rank Tokens Sniper by the numbers
- 68 all-time installs (skills.sh)
- +2 installs in the week ending Aug 4, 2026 (Skillselion tracking)
- Ranked #5,843 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 top-rank-tokens-sniperAdd your badge
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| Installs | 68 |
|---|---|
| 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="$HOME/.plugin-store/update-cache/top-rank-tokens-sniper"
CACHE_MAX=3600
LOCAL_VER="1.0.0"
DO_CHECK=true
if [ -f "$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/top-rank-tokens-sniper/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: top-rank-tokens-sniper v$LOCAL_VER -> v$REMOTE_VER."
echo "ACTION REQUIRED: ask the user to confirm before running:"
echo " npx skills add okx/plugin-store --skill top-rank-tokens-sniper --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---
Top Rank Tokens Sniper 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 within seconds or even go to zero. You may lose your entire invested capital. 2. Ranking Data Risk: Leaderboard ranking data may be manipulated by wash trading. Changes in ranking do not represent genuine market consensus. Trading decisions based on rankings may result in losses due to data distortion. 3. Parameters 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 conditions. Users should adjust all parameters according to their own risk tolerance, trading experience, and market judgment. 4. User Customization: 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 Guaranteed Returns: 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 relies on third-party infrastructure including onchainos CLI, OKX API, and the Solana network. 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 some countries and regions. Users should understand 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 understand and comply with local tax laws regarding reporting and paying taxes on cryptocurrency trading gains. 10. Assume All 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, please run in Paper mode (MODE = "paper"). After fully familiarizing yourself with the strategy logic and parameter behavior, then consider whether to switch to live trading.
---
File Structure
Top Rank Tokens Sniper - 榜单狙击手/
├── skill.md ← This file (strategy documentation)
├── config.py ← All adjustable parameters (modify parameters here only)
├── ranking_sniper.py ← Main strategy program
├── dashboard.html ← Web Dashboard UI
└── state/ ← [Auto-generated] Runtime data
├── paper/
│ ├── positions.json
│ ├── trades.json
│ ├── daily-stats.json
│ └── signals-log.json
└── live/
└── (same as above)---
Prerequisites
1. Install onchainos CLI (>= 2.0.0-beta)
# Check if already installed
onchainos --version
# If not installed, follow the onchainos official documentation
# Make sure onchainos is in PATH or located at ~/.local/bin/onchainos2. Login 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 Python standard library + onchainos CLI. No third-party packages needed.
---
AI Agent Startup Interaction Protocol
When the user requests to start this strategy, the AI Agent must follow the procedure below and must not skip directly to launch.
Phase 1: Show Strategy Overview
Present the following to the user:
🏆 Top Rank Tokens Sniper v1.0 — Solana Ranking Sniper
This strategy scans the Solana 1h gainers leaderboard Top 20 every 10 seconds.
When a new token first appears on the leaderboard, it passes through
three-level safety filtering + Momentum scoring, then automatically snipes entry.
Positions are managed through a 6-layer exit system.
🧪 Current: Paper Mode — no real money spent, observing signals only
⚠️ Risk Warning: Meme coins carry extremely high risk. You may lose your entire investment.
Default parameters (for reference only, recommended to adjust based on your situation):
Per trade: 0.05 SOL
Total budget: 0.5 SOL
Max positions: 5
Take profit: TP1 +8% / TP2 +20% / TP3 +40%
Stop loss: -15% Hard Stop / -8% Quick Stop (3min)
Trailing stop: Activates at +10% profit, exits on 8% drawdown
Ranking exit: Auto sell 100% when dropped out of Top 20 (highest priority)
Max hold time: 2 hours
All parameters can be freely modified in config.py to suit your trading style.Q1: Risk Preference (Mandatory)
- 🛡️ Conservative: Quick in-and-out, small TP with tight SL
- ⚖️ Default: Balanced configuration (recommended)
- 🔥 Aggressive: Large TP with wide SL
→ Parameter mapping (for AI Agent to write into config.py, no need to show to user):
| Preference | STOP_LOSS_PCT | QUICK_STOP_MIN | QUICK_STOP_PCT | TP_TIERS | MAX_HOLD_HOURS | TRAILING_ACTIVATE | TRAILING_DROP |
|---|---|---|---|---|---|---|---|
| Conservative | -10 | 2 | -5 | (5,0.30),(12,0.35),(25,0.35) | 1 | 8 | 5 |
| Default | -15 | 3 | -8 | (8,0.30),(20,0.35),(40,0.35) | 2 | 10 | 8 |
| Aggressive | -25 | 5 | -12 | (12,0.30),(30,0.35),(60,0.35) | 4 | 15 | 12 |
Q2: Switch to Live Trading?
- A. 🧪 Keep Paper mode, start directly (recommended by default)
- B. 💰 Switch to Live mode
Option A → Proceed directly to the launch step.
Option B → Enter live trading sub-flow:
1. ⚠️ Confirm with user: "Live trading will use real SOL. Losses are irreversible. Confirm switch to live?"
- User confirms → Continue
- User declines → Fall back to Paper mode
2. Ask for total budget in SOL (default 0.5 SOL)
3. AI auto-calculates (let B = user's input budget):
TOTAL_BUDGET = BBUY_AMOUNT = max(B × 0.10, 0.01)
4. Show calculated results and confirm with user: "Your live configuration: Total budget X SOL, per trade Y SOL, daily loss limit Z SOL. Confirm?"
- User confirms → Write to config.py
- User requests adjustment → Return to step 2
5. Set mode parameters:
MODE = "live"PAUSED = False
Launch
1. Modify corresponding parameters in config.py based on user answers 2. Set PAUSED = False (allow bot to run normally after interaction confirmation) 3. Check prerequisites: onchainos --version, onchainos wallet status 4. Start bot: python3 ranking_sniper.py 5. Show Dashboard link: http://localhost:3244 6. Inform user: Currently in Paper mode. To switch to live, modify MODE = "live" in config.py
If the user says "use default config" or "just run it", only set PAUSED = False, leave everything else unchanged, and start in Paper mode.
Special Cases
- User explicitly says "don't ask me, just run it" → Start with default parameters (Paper mode), but must show Phase 1 overview + set
PAUSED = False - User is a returning user (configuration history exists in conversation) → Remind them of previous configuration and ask if they want to reuse it
---
Quick Start
⚠️ Before starting, confirm theMODEvalue in config.py —"paper"for Paper trading,"live"for Live trading.
cd ~/CC/Top\ Rank\ Tokens\ Sniper\ -\ 榜单狙击手
# 1. Confirm onchainos is logged in
onchainos wallet status
# 2. Start bot (foreground, Ctrl+C to stop)
python3 ranking_sniper.py
# 3. Open Dashboard
open http://localhost:3244
# 4. Stop
pkill -f ranking_sniper.pyFirst startup defaults to PAUSED=True — no new positions will be opened. After confirming everything is normal, modify PAUSED=False in config.py.
---
Parameter Adjustment
All adjustable parameters are in `config.py` — no need to modify ranking_sniper.py.
Common Adjustments
| Need | Modify in config.py |
|---|---|
| Pause/resume trading | PAUSED = True/False |
| Adjust per-trade amount | BUY_AMOUNT = 0.05 |
| Adjust total budget | TOTAL_BUDGET = 0.5 |
| Adjust max positions | MAX_POSITIONS = 5 |
| Adjust take profit | TP_TIERS = [(8,0.30),(20,0.35),(40,0.35)] |
| Adjust hard stop loss | STOP_LOSS_PCT = -15 |
| Adjust quick stop | QUICK_STOP_MIN = 3, QUICK_STOP_PCT = -8 |
| Adjust trailing stop | TRAILING_ACTIVATE = 10, TRAILING_DROP = 8 |
| Adjust sell slippage | SLIPPAGE_SELL = 8 (normal exit), SLIPPAGE_SELL_URGENT = 15 (urgent exit) |
| Adjust scan speed | POLL_INTERVAL = 10 (seconds) |
| MC range | MIN_MCAP = 50_000, MAX_MCAP = 10_000_000 |
| Paper trading | MODE = "paper" |
| Dashboard port | DASHBOARD_PORT = 3244 |
Restart the bot for changes to take effect.
---
Strategy Architecture
ranking_sniper.py (Single-file Bot)
├── onchainos CLI (Data + Execution + Security — no API Key)
├── _scanner_loop() ← Background thread, every 10s
│ ├── get_ranking() Leaderboard Top 20
│ ├── New entry detection prev_snap set diff
│ └── _filter() Three-level filtering
│ ├── Level 1: Slot Guard (13 basic metrics)
│ ├── Level 2: Advanced Safety (9 safety checks)
│ ├── Level 3: Holder Risk Scan (3 holder risk checks)
│ ├── _calc_score() Momentum Score calculation
│ └── → _buy() (synchronous execution)
│ └── Live mode 4-layer verification
├── _monitor_loop() ← Background thread, every 10s
│ ├── get_batch_prices() Batch prices
│ ├── _check_unconfirmed() Layer 3 monitoring
│ └── check_position() Exit decisions
│ ├── EXIT 0: Ranking Exit (dropped off leaderboard)
│ ├── EXIT 1: Hard Stop (-15%)
│ ├── EXIT 2: Quick Stop (3min, -8%)
│ ├── EXIT 3: Trailing Stop (peak +10%, drop 8%)
│ ├── EXIT 4: Time Stop (2h)
│ └── EXIT 5: Tiered TP (+8%/+20%/+40%)
├── _audit_loop() ← Background thread, every 5min (Live mode)
│ └── _wallet_audit() Wallet reconciliation
├── Dashboard (port 3244) Web UI
└── Persistent files (JSON, atomic writes)---
Safety Checks
Level 1: Slot Guard (13 checks, based on leaderboard data)
| # | Check | Threshold |
|---|---|---|
| 1 | Min price change | >= 15% |
| 2 | Max price change | <= 500% |
| 3 | Liquidity | >= $30,000 |
| 4 | Market cap floor | >= $50,000 |
| 5 | Market cap ceiling | <= $10M |
| 6 | Holders | >= 100 |
| 7 | Buy ratio | >= 55% |
| 8 | Unique traders | >= 20 |
| 9 | Blacklist | Not in SKIP_TOKENS/BLACKLIST |
| 10 | Cooldown | >= 30min since last sell |
| 11 | Position cap | < MAX_POSITIONS |
| 12 | Dedup | Not already holding same token |
| 13 | Daily loss | Daily loss limit not triggered |
Level 2: Advanced Safety (9 checks, onchainos token advanced-info)
| # | Check | Threshold |
|---|---|---|
| S1 | Risk level | <= 3 |
| S2 | Honeypot | No honeypot tag |
| S3 | Top 10 concentration | <= 40% |
| S4 | Dev holding | <= 15% |
| S5 | Bundler holding | <= 15% |
| S6 | LP burned | >= 50% |
| S7 | Dev rug count | <= 2 |
| S8 | Sniper holding | <= 15% |
| S9 | Internal token | Default pass |
Level 3: Holder Risk (3 checks, onchainos token holders)
| # | Check | Threshold |
|---|---|---|
| H1 | Suspicious address holding | <= 30% |
| H2 | Phishing addresses | Block (BLOCK_PHISHING = True) |
| H3 | Suspicious address count | <= 10 |
---
Momentum Score
Base Score (0-100):
buyRatio × 40 + changePenalty × 20 + traderScore × 20 + liquidityScore × 20
Bonus (0-25):
smartMoneyBuy +8 | top10<30% +5 | dsPaid +3 | communityTakeover +2
sniper<5% +4 | devClean +3 | zeroSuspicious +2
Total = Base + min(Bonus, 25)---
6-Layer Exit System
| Priority | Exit Type | Trigger Condition | Sell Ratio |
|---|---|---|---|
| EXIT 0 | Ranking Exit | Dropped out of Top 20 and held >= 1min | 100% |
| EXIT 1 | Hard Stop Loss | PnL <= -15% | 100% |
| EXIT 2 | Quick Stop | Held >= 3min and PnL <= -8% | 100% |
| EXIT 3 | Trailing Stop | Peak PnL >= +10% then drawdown >= 8% | 100% |
| EXIT 4 | Time Stop | Held >= 2h | 100% |
| EXIT 5 | Tiered Take Profit | +8% sell 30% / +20% sell 35% / +40% sell 35% | Partial |
---
Session Risk Control
| Rule | Value |
|---|---|
| Daily Loss Limit | DAILY_LOSS_LIMIT = 0.15 (ratio of TOTAL_BUDGET, i.e., stop for the day after 15% loss) |
| Consecutive Loss Pause | 3 times → pause 15min (MAX_CONSEC_LOSS = 3, PAUSE_CONSEC_SEC = 900) |
| Cumulative Loss Stop | >= 0.10 SOL → stop trading (SESSION_STOP_SOL = 0.10) |
| Max Positions | MAX_POSITIONS = 5 |
| Max Hold Time | MAX_HOLD_HOURS = 2 |
| Cooldown | COOLDOWN_MIN = 30 (30 minutes after selling before buying the same token again) |
Daily loss limit scales automatically with TOTAL_BUDGET (ratio fixed at 15%). Consecutive loss counter resets on a winning trade. Session risk control auto-resets on bot restart.
---
Iron Rules (Must Not Be Violated)
1. RPC balance 0 ≠ token doesn't exist (Solana RPC has severe latency). Unconfirmed positions require zeroCount >= 10 AND elapsed > 180s before discarding. 2. Writing to positions.json requires holding _state_lock. 3. When order_status() returns TIMEOUT, always create an unconfirmed position. 4. Safety check API failure → Fail-Closed, do not buy. 5. Rank Exit (EXIT 0) has the highest priority. 6. Daily loss limit triggered → stop all buying for the day. 7. GAS_RESERVE 0.01 SOL is never spent on trades.
---
onchainos CLI Command Reference
| # | Command | Purpose |
|---|---|---|
| 1 | onchainos token trending --chain solana --sort-by 2 --time-frame 2 | Leaderboard Top 20 |
| 2 | onchainos token advanced-info --chain solana --address <addr> | Safety check data |
| 3 | onchainos token holders --chain solana --address <addr> --tag-filter <tag> | Holder risk |
| 4 | onchainos market prices --tokens 501:<addr1>,501:<addr2>,... | Batch prices |
| 5 | onchainos swap quote --from <from> --to <to> --amount <amt> --chain solana | Quote |
| 6 | onchainos swap swap --from <from> --to <to> --amount <amt> --chain solana --wallet <addr> --slippage <pct> | Trade |
| 7 | onchainos wallet addresses --chain 501 | Solana address |
| 8 | onchainos wallet balance --chain 501 | Balance |
| 9 | onchainos wallet contract-call --chain 501 --to <router> --unsigned-tx <callData> | TEE signing |
| 10 | onchainos wallet order-status --order-id <orderId> | Trade confirmation |
---
Troubleshooting
| Issue | Solution |
|---|---|
| "FATAL: onchainos CLI not found" | Install onchainos and ensure it is in PATH |
| Dashboard won't open | Check if port 3244 is in use: lsof -i:3244 |
| Bot has no trade signals | Leaderboard may have no new entries; wait for changes |
| Login expired | Re-run onchainos wallet login <email> |
| Live mode buy fails | Check SOL balance >= MIN_WALLET_BAL (0.06) |
---
Glossary
| Term | Definition |
|---|---|
| Ranking Exit | Ranking Exit — automatically sell entire position when token drops out of the Top 20 gainers leaderboard; exit when momentum is lost |
| Slot Guard | 13 basic metric pre-checks based on leaderboard data, zero additional API calls |
| Advanced Safety | 9 deep safety checks using onchainos token advanced-info to obtain Dev/Bundler/LP data |
| Holder Risk | 3 holder risk checks using onchainos token holders to detect suspicious/phishing addresses |
| Momentum Score | Momentum score (0-125), calculated from buy ratio, price change, trader count, liquidity, and safety bonuses |
| Quick Stop | Quick Stop — triggers when position is held for N minutes and loss exceeds N% (both conditions must be met) |
| Trailing Stop | Trailing Stop — triggers sell when profit reaches activation threshold then pulls back beyond threshold from peak |
| Unconfirmed Position | Pending position created when trade confirmation times out; requires multiple balance checks before discarding |
| Fail-Closed | When safety check API fails, treat as unsafe and do not buy |
| TEE | Trusted Execution Environment — onchainos signing is performed inside a secure enclave |
| Agentic Wallet | onchainos managed wallet with private keys inside TEE, never leaving the secure environment |
| DAILY_LOSS_LIMIT | Daily loss ratio (of TOTAL_BUDGET); when triggered, all buying stops for the day |
| MC / MCAP | Market Cap — token total supply × current price, measuring token scale |
| LP | Liquidity Pool — token pair pool on DEX for trading; larger LP means lower slippage |
| LP Burn | Permanently burning LP tokens to ensure liquidity cannot be withdrawn by developers |
| Rug Pull | Malicious act where developers suddenly withdraw liquidity or dump all holdings, crashing the token price to zero |
| Dev | Token developer/deployer — in the Meme coin context, refers to the token contract creator; their holdings and history are important risk indicators |
| Bundler | Bundle trader — addresses that buy large amounts through bundled transactions at token launch; may be insiders or manipulators |
| Sniper | Sniper — bot addresses that auto-buy tokens instantly at launch; 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 |
| lamports | Smallest unit of SOL, 1 SOL = 1,000,000,000 lamports |
| Native SOL | SOL native token address 11111111111111111111111111111111 (32 ones), must be used as --from in swap |
| WSOL | Wrapped SOL (So11...112), SPL Token wrapped form of SOL, cannot be used as swap --from |
{
"name": "top-rank-tokens-sniper",
"description": "Top Rank Tokens Sniper v1.0 — OKX ranking leaderboard sniper with momentum scoring, 3-level safety, 6-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">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Top Rank Tokens Sniper — Live Bot v1.0</title>
<style>
*{margin:0;padding:0;box-sizing:border-box}
:root{
--bg:#0B0E11;--card:#1B1F25;--input:#252930;--border:#2B3039;
--text:#FFFFFF;--sub:#8B919E;--green:#2DC98A;--red:#F04866;--warn:#F0B90B;
}
body{background:var(--bg);color:var(--text);font-family:"Roboto Mono","SF Mono",monospace;font-size:13px;overflow:hidden;height:100vh;display:flex;flex-direction:column}
button{cursor:pointer;border:none;font-family:inherit;font-size:12px;transition:opacity .15s}
button:disabled{opacity:.4;cursor:not-allowed}
table{width:100%;border-collapse:collapse}
th{font-weight:600;color:var(--sub);font-size:10px;text-transform:uppercase;padding:4px 10px;text-align:left;border-bottom:1px solid var(--border)}
td{padding:5px 10px;border-bottom:1px solid var(--border);white-space:nowrap}
.card{background:var(--card);border:1px solid var(--border);border-radius:12px;overflow:hidden;display:flex;flex-direction:column}
.card-header{padding:6px 12px;border-bottom:1px solid var(--border);font-size:12px;font-weight:600;flex-shrink:0}
.card-body{overflow-y:auto;flex:1}
.green{color:var(--green)}.red{color:var(--red)}.warn{color:var(--warn)}.sub{color:var(--sub)}
.text-right{text-align:right}
.mono{font-family:"Roboto Mono","SF Mono",monospace}
.bold{font-weight:600}
.empty{display:flex;align-items:center;justify-content:center;color:var(--sub);font-size:12px;padding:24px;flex:1}
/* Header */
header{display:flex;align-items:center;justify-content:space-between;padding:8px 16px;border-bottom:1px solid var(--border);flex-shrink:0}
header h1{font-size:15px;font-weight:600}
.header-left{display:flex;align-items:center;gap:10px}
.header-right{display:flex;align-items:center;gap:10px}
.powered{font-size:11px;color:var(--sub)}
.status{display:flex;align-items:center;gap:6px;font-size:13px}
.dot{width:8px;height:8px;border-radius:50%}
.dot.on{background:var(--green);animation:pulse 1.5s infinite}
.dot.off{background:var(--red)}
@keyframes pulse{0%,100%{opacity:1}50%{opacity:.4}}
.mode-toggle{display:flex;border:1px solid var(--border);border-radius:8px;overflow:hidden}
.mode-toggle button{padding:4px 12px;background:transparent;color:var(--sub);font-weight:600}
.mode-toggle button.active-paper{background:var(--warn);color:var(--bg)}
.mode-toggle button.active-live{background:var(--green);color:var(--bg)}
.btn-primary{background:var(--text);color:var(--bg);padding:4px 12px;border-radius:8px;font-weight:600}
.btn-primary:hover{opacity:.85}
.btn-danger{background:transparent;border:1px solid var(--red);color:var(--red);padding:4px 12px;border-radius:8px}
.btn-danger:hover{background:rgba(240,72,102,.1)}
.btn-secondary{background:transparent;border:1px solid var(--sub);color:var(--sub);padding:4px 12px;border-radius:8px}
.btn-secondary:hover{color:var(--text);border-color:var(--text)}
.wallet-info{display:flex;align-items:center;gap:8px;padding:3px 8px;background:var(--input);border:1px solid var(--border);border-radius:8px;font-size:11px}
.wallet-addr{color:var(--sub);cursor:pointer}.wallet-addr:hover{color:var(--text)}
.wallet-bal{color:var(--text);font-weight:600}
/* Stats */
.stats{display:grid;grid-template-columns:repeat(4,1fr);gap:8px;padding:8px 16px;flex-shrink:0}
.stat-card{background:var(--card);border:1px solid var(--border);border-radius:12px;padding:8px 12px}
.stat-label{font-size:10px;color:var(--sub)}
.stat-value{font-size:18px;font-weight:600;margin-top:2px}
/* Main grid */
.main{flex:1;display:grid;grid-template-columns:1fr 1fr;gap:12px;padding:0 16px 12px;min-height:0}
.col{display:flex;flex-direction:column;gap:12px;min-height:0}
/* Log entries */
.log-entry{display:flex;gap:6px;font-size:11px;line-height:16px;padding:1px 8px}
.log-time{color:var(--sub);flex-shrink:0;width:60px}
.log-type{flex-shrink:0;width:80px}
.log-msg{color:var(--sub);overflow:hidden;text-overflow:ellipsis;white-space:nowrap}
/* Scrollbar */
::-webkit-scrollbar{width:4px}
::-webkit-scrollbar-track{background:transparent}
::-webkit-scrollbar-thumb{background:var(--border);border-radius:2px}
</style>
</head>
<body>
<header>
<div class="header-left">
<h1>Top Rank Tokens Sniper</h1>
<span class="powered">Powered By Onchain OS</span>
</div>
<div class="header-right">
<div id="wallet-box" class="wallet-info" style="display:none">
<span id="wallet-addr" class="wallet-addr mono" title="" onclick="copyAddr()"></span>
<span id="wallet-bal" class="wallet-bal mono"></span>
</div>
<div class="status">
<div id="status-dot" class="dot off"></div>
<span id="status-text">Stopped</span>
</div>
<div class="mode-toggle">
<button id="btn-paper" onclick="setMode('paper')" disabled>Paper</button>
<button id="btn-live" onclick="setMode('live')" disabled>Live</button>
</div>
<button id="btn-start" class="btn-primary" onclick="doStart()">Start</button>
<button id="btn-stop" class="btn-danger" onclick="doStop()" style="display:none">Stop</button>
<button id="btn-reset" class="btn-secondary" onclick="doReset()">Reset</button>
</div>
</header>
<div class="stats">
<div class="stat-card"><div class="stat-label">Total PnL</div><div id="s-total" class="stat-value sub">0 SOL</div></div>
<div class="stat-card"><div class="stat-label">Today PnL</div><div id="s-today" class="stat-value sub">0 SOL</div></div>
<div class="stat-card"><div class="stat-label">Win Rate</div><div id="s-wr" class="stat-value">—</div></div>
<div class="stat-card"><div class="stat-label">Positions</div><div id="s-pos" class="stat-value">0 / 5</div></div>
</div>
<div class="main">
<div class="col">
<div id="pos-card" class="card" style="flex:0 1 auto;max-height:45%">
<div class="card-header">Current Positions</div>
<div class="card-body" id="pos-body"><div class="empty">No positions</div></div>
</div>
<div class="card" style="flex:1;min-height:0">
<div class="card-header">Recent Trades</div>
<div class="card-body" id="trades-body"><div class="empty">No trades</div></div>
</div>
</div>
<div class="col">
<div class="card" style="flex:1;min-height:0">
<div class="card-header">Ranking Top 20</div>
<div class="card-body" id="roster-body"><div class="empty">No ranking data</div></div>
</div>
<div class="card" style="flex:1;min-height:0">
<div class="card-header">Signal Logs</div>
<div class="card-body" id="logs-body"><div class="empty">No logs</div></div>
</div>
</div>
</div>
<script>
const API = '';
let state = {};
function pc(v){const n=parseFloat(v);return n>0?'green':n<0?'red':'sub'}
function fp(v,s='%'){const n=parseFloat(v);if(isNaN(n))return '0'+s;const d=s==='%'?2:(Math.abs(n)<0.01?4:2);return(n>=0?'+':'')+n.toFixed(d)+s}
function f$(v){const n=parseFloat(v);if(!n)return '$0';if(n<0.0001)return '$'+n.toExponential(2);return n<1?'$'+n.toFixed(6):'$'+n.toLocaleString(undefined,{maximumFractionDigits:2})}
function fk(v){const n=parseFloat(v);if(!n)return '$0';return n>=1e6?'$'+(n/1e6).toFixed(1)+'M':'$'+(n/1000).toFixed(1)+'k'}
function ftime(ts){return new Date(ts).toLocaleTimeString('en-US',{hour12:false})}
function copyAddr(){
const a=document.getElementById('wallet-addr').title;
if(a)navigator.clipboard.writeText(a);
}
async function doStart(){try{await fetch(API+'/api/start',{method:'POST'})}catch(e){}}
async function doStop(){try{await fetch(API+'/api/stop',{method:'POST'})}catch(e){}}
async function setMode(m){
try{
const r=await fetch(API+'/api/mode',{method:'POST',headers:{'Content-Type':'application/json'},body:JSON.stringify({mode:m})});
const d=await r.json();if(!d.ok)alert(d.msg);
}catch(e){}
}
async function doReset(){
if(!confirm('Confirm clear all data? Positions, trade history, and logs will be reset.'))return;
try{const r=await fetch(API+'/api/reset',{method:'POST'});const d=await r.json();alert(d.msg)}catch(e){}
}
function render(s){
if(!s)return;
state=s;
const on=s.running;
const mode=s.mode||'paper';
// Status
const dot=document.getElementById('status-dot');
dot.className='dot '+(on?'on':'off');
document.getElementById('status-text').textContent=on?'Running':'Stopped';
// Mode buttons
const bp=document.getElementById('btn-paper'),bl=document.getElementById('btn-live');
bp.disabled=on;bl.disabled=on;
bp.className=mode==='paper'?'active-paper':'';
bl.className=mode==='live'?'active-live':'';
// Start/Stop
document.getElementById('btn-start').style.display=on?'none':'';
document.getElementById('btn-stop').style.display=on?'':'none';
document.getElementById('btn-reset').disabled=on;
// Wallet
const wb=document.getElementById('wallet-box');
if(mode==='live'&&s.wallet){
wb.style.display='';
const wa=document.getElementById('wallet-addr');
wa.textContent=s.wallet.slice(0,4)+'...'+s.wallet.slice(-4);
wa.title=s.wallet;
document.getElementById('wallet-bal').textContent=(s.solBalance!=null?s.solBalance.toFixed(4):'—')+' SOL';
}else{wb.style.display='none'}
// Stats
const sells=(s.trades||[]).filter(t=>t.direction==='sell');
const total=sells.reduce((a,t)=>a+parseFloat(t.pnlSol||0),0);
const todayStr=new Date().toDateString();
const todayS=sells.filter(t=>new Date(t.timestamp).toDateString()===todayStr);
const todayP=todayS.reduce((a,t)=>a+parseFloat(t.pnlSol||0),0);
const w=todayS.filter(t=>parseFloat(t.pnlSol||0)>=0).length;
const wr=todayS.length?((w/todayS.length)*100).toFixed(1)+'%':'—';
const st=document.getElementById('s-total');st.textContent=fp(total,' SOL');st.className='stat-value '+pc(total);
const sy=document.getElementById('s-today');sy.textContent=fp(todayP,' SOL');sy.className='stat-value '+pc(todayP);
document.getElementById('s-wr').textContent=wr;
document.getElementById('s-pos').textContent=(s.positionsCount??0)+' / '+(s.maxPositions??5);
// Positions
const pb=document.getElementById('pos-body');
const pos=s.positions||[];
if(!pos.length){pb.innerHTML='<div class="empty">No positions</div>'}
else{
let h='<table><thead><tr><th>Token</th><th class="text-right">Buy Price</th><th class="text-right">Current Price</th><th class="text-right">PnL%</th><th class="text-right">Time</th><th>Trigger</th></tr></thead><tbody>';
pos.forEach(p=>{
const bp=parseFloat(p.buyPrice),cp=parseFloat(p.lastCheckPrice),pnl=bp>0?((cp-bp)/bp)*100:0,m=Math.floor((Date.now()-p.buyTimestamp)/60000);
h+=`<tr><td class="bold">${p.tokenSymbol}</td><td class="text-right sub">${f$(bp)}</td><td class="text-right">${f$(cp)}</td><td class="text-right bold ${pc(pnl)}">${fp(pnl)}</td><td class="text-right sub">${m}m</td><td class="sub" style="font-size:10px">${p.triggerReason||''}</td></tr>`;
});
h+='</tbody></table>';pb.innerHTML=h;
}
// Trades
const tb=document.getElementById('trades-body');
const tr2=(s.trades||[]).slice(-20).reverse();
if(!tr2.length){tb.innerHTML='<div class="empty">No trades</div>'}
else{
let h='<table><thead><tr><th>Time</th><th>Direction</th><th>Token</th><th class="text-right">Amount</th><th class="text-right">PnL</th><th>Reason</th></tr></thead><tbody>';
tr2.forEach(t=>{
const dc=t.direction==='buy'?'green':'red';
h+=`<tr><td class="sub">${ftime(t.timestamp)}</td><td class="bold ${dc}">${t.direction.toUpperCase()}</td><td class="bold">${t.tokenSymbol}</td><td class="text-right">${parseFloat(t.amountSol).toFixed(4)}</td><td class="text-right ${pc(t.pnlPercent)}">${t.direction==='sell'?fp(t.pnlPercent):'—'}</td><td class="sub" style="max-width:100px;overflow:hidden;text-overflow:ellipsis">${t.reason}</td></tr>`;
});
h+='</tbody></table>';tb.innerHTML=h;
}
// Roster
const rb=document.getElementById('roster-body');
const ro=s.roster||[];
if(!ro.length){rb.innerHTML='<div class="empty">No ranking data</div>'}
else{
let h='<table><thead><tr><th>#</th><th>Token</th><th class="text-right">Change%</th><th class="text-right">Liquidity</th><th class="text-right">Market Cap</th></tr></thead><tbody>';
ro.forEach((t,i)=>{
const chg=parseFloat(t.change||0);
h+=`<tr><td class="sub">${i+1}</td><td class="bold">${t.tokenSymbol}</td><td class="text-right ${chg>=0?'green':'red'}">${chg.toFixed(1)}%</td><td class="text-right sub">${fk(t.liquidity)}</td><td class="text-right sub">${fk(t.marketCap)}</td></tr>`;
});
h+='</tbody></table>';rb.innerHTML=h;
}
// Logs
const lb=document.getElementById('logs-body');
const lg=s.logs||[];
if(!lg.length){lb.innerHTML='<div class="empty">No logs</div>'}
else{
const tc={BUY:'green',SELL:'red',SKIP:'sub',SAFETY_REJECT:'warn',HOLDER_REJECT:'warn',RANK_EXIT:'red',LIVE_BUY:'green',ENGINE:'',PASS:'green',ERROR:'red',WARN:'warn',CONFIRMED:'green',BUY_UNCONFIRMED:'warn',UNCONFIRMED:'sub',UNCONFIRMED_EXPIRED:'red',AUDIT:'sub',RECONCILE:'sub'};
let h='';
[...lg].reverse().forEach(l=>{
const cls=tc[l.type]||'sub';
h+=`<div class="log-entry"><span class="log-time">${ftime(l.ts)}</span><span class="log-type ${cls}">${l.type}</span><span class="log-msg">${l.msg}</span></div>`;
});
lb.innerHTML=h;
}
}
// Poll
async function poll(){
try{
const r=await fetch(API+'/api/state');
const d=await r.json();
render(d);
}catch(e){}
}
poll();
setInterval(poll,3000);
</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: top-rank-tokens-sniper
version: "1.0.0"
description: "Top Rank Tokens Sniper v1.0 — OKX ranking leaderboard sniper with momentum scoring, 3-level safety, 6-layer exit system"
author:
name: "yz06276"
github: "yz06276"
license: MIT
category: strategy
tags:
- solana
- onchainos
- trading-bot
components:
skill:
repo: "yz06276/top-rank-tokens-sniper"
commit: "80489f89ed4a5ee5e9717e48fe8265e88db85fa1"
api_calls: []
type: community-developer
Top Rank Tokens Sniper - 榜单狙击手
OKX ranking leaderboard sniper — scans Solana 1h gainers Top 20 every 10 seconds, filters new entries through 3-level safety + Momentum scoring, then automatically snipes entries. Ranking Exit ensures positions are closed when momentum fades. All on-chain operations powered by onchainos Agentic Wallet (TEE signing, no API key needed).
OKX 涨幅榜狙击手 — 每 10 秒扫描 Solana 1 小时涨幅榜 Top 20,新上榜代币经过三级安全过滤 + 动量评分后自动狙击入场。排名退出机制确保动量消退时及时平仓。所有链上操作由 onchainos Agentic Wallet 驱动(TEE 签名,无需 API Key)。
Features / 功能
- Leaderboard Scanning / 榜单扫描 — Monitors Solana 1h gainers Top 20 every 10 seconds
- 3-Level Safety / 三级安全过滤 — 13 Slot Guard + 9 Advanced Safety + 3 Holder Risk checks
- Momentum Scoring / 动量评分 — Composite score (0-125) from buy ratio, price change, traders, liquidity
- Ranking Exit / 排名退出 — Highest priority: auto-sell 100% when token drops off Top 20
- 6-Layer Exit System / 6 层退出系统 — Ranking exit, hard stop, quick stop, trailing stop, time stop, tiered TP
- Session Risk Control / 会话风控 — Daily loss limit, consecutive loss pause, cumulative loss stop
- Wallet Audit / 钱包审计 — Periodic on-chain balance reconciliation
- Web Dashboard / 实时仪表盘 — http://localhost:3244
Install / 安装
npx skills add okx/plugin-store --skill top-rank-tokens-sniperRisk Warning / 风险提示
Leaderboard data may be manipulated by wash trading. Rankings do not represent genuine market consensus. Always test in Paper Mode first.
涨幅榜数据可能被刷量操纵,排名不代表真正的市场共识。请先在纸盘模式下测试。
License
MIT
"""
Top Rank Tokens Sniper v1.0 — Strategy Configuration
Modify this file to adjust strategy parameters without changing ranking_sniper.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:
- Drastic price volatility, potentially going to zero within seconds
- Sudden liquidity drain, unable to sell
- Smart contract vulnerabilities, Rug Pulls, and other malicious activities
- On-chain transactions are irreversible, cannot be undone once executed
Users should adjust all parameters according to 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 ──────────────────────────────────────────────────────────────
MODE = "paper" # "paper" (recommended to test first) / "live" (Live Trading)
PAUSED = True # True=Paused, no new positions (safe default), False=Normal operation
TOTAL_BUDGET = 0.5 # SOL total budget
DAILY_LOSS_LIMIT = 0.15 # Daily Loss Limit (ratio of TOTAL_BUDGET)
# ── Session Risk Control ─────────────────────────────────────────────────
MAX_CONSEC_LOSS = 3 # N consecutive losses → pause
PAUSE_CONSEC_SEC = 900 # Consecutive loss pause duration (seconds, 15min)
SESSION_STOP_SOL = 0.10 # Cumulative loss >= N SOL → stop trading
# ── Position ──────────────────────────────────────────────────────────────
# Ranking strategy characteristics: tokens already have market consensus (on the gainers leaderboard),
# relatively sufficient liquidity — suitable for medium positions with quick TP/SL.
# Per trade recommended <= 10% of total budget.
BUY_AMOUNT = 0.05 # Per trade buy amount (SOL)
MAX_POSITIONS = 5 # Max simultaneous positions
MAX_SINGLE_BUYS = 1 # Max buy count for the same token
SLIPPAGE_BUY = 5 # Buy slippage (%) — leaderboard tokens have decent liquidity, 5% is enough
SLIPPAGE_SELL = 8 # Normal sell slippage (%) — TP / Time Stop
SLIPPAGE_SELL_URGENT = 15 # Urgent sell slippage (%) — Ranking Exit / Hard SL (liquidity may drain)
GAS_RESERVE = 0.01 # Gas reserve (SOL)
MIN_WALLET_BAL = 0.06 # Min wallet balance to open positions (SOL)
# ── Leaderboard Scanning ─────────────────────────────────────────────────
POLL_INTERVAL = 10 # Polling interval (seconds)
TOP_N = 20 # Leaderboard Top N
MIN_CHANGE_PCT = 15 # Min price change (%) — raise threshold to avoid weak tokens
MAX_CHANGE_PCT = 500 # Max price change (%) — tighten ceiling, overheated tokens risk pullback
MIN_LIQUIDITY = 30_000 # Min liquidity ($) — leaderboard tokens should have sufficient liquidity
MIN_MCAP = 50_000 # Min market cap ($) — too small market cap is easily manipulated
MAX_MCAP = 10_000_000 # Max market cap ($) — very large market cap has limited upside
MIN_HOLDERS = 100 # Min holders — ensure a real community exists
MIN_BUY_RATIO = 0.55 # Min buy ratio — buy pressure should dominate
MIN_TRADERS = 20 # Min unique traders — prevent wash trading
COOLDOWN_MIN = 30 # Cooldown after sell (minutes) — avoid repeated entry/exit on same token
ENABLE_RANKING_EXIT = True # Auto-exit when dropped off the leaderboard
# ── Safety Checks ─────────────────────────────────────────────────────────
# Ranking strategy faces tokens that already have some heat, but strict safety filtering is still needed.
# The thresholds below are recommended values based on common Meme coin risk patterns.
# Users can relax or tighten them as needed.
MAX_RISK_LEVEL = 3 # Max risk level (1-5, 3=moderate risk acceptable)
BLOCK_HONEYPOT = True # Block honeypots (strongly recommended to keep True)
MAX_TOP10_HOLD = 40 # Top 10 holding cap (%) — high concentration risks a dump
MAX_DEV_HOLD = 15 # Dev holding cap (%) — high dev holding risks rug pull
MAX_BUNDLE_HOLD = 15 # Bundler holding cap (%) — bundler control risk
MIN_LP_BURN = 50 # LP burn floor (%) — ensure liquidity cannot be drained
MAX_DEV_RUG_COUNT = 2 # Dev rug count cap — stricter for devs with rug history
MAX_SNIPER_HOLD = 15 # Sniper holding cap (%) — concentrated snipers create sell pressure
BLOCK_INTERNAL = False # Block internal tokens
MAX_SUSPICIOUS_HOLD = 30 # Suspicious address holding cap (%)
MAX_SUSPICIOUS_COUNT = 10 # Suspicious address count cap
BLOCK_PHISHING = True # Block tokens with phishing addresses
# ── Take Profit ───────────────────────────────────────────────────────────
# Ranking strategy: tokens already have momentum, TP targets can be moderately aggressive,
# but first tier should recover cost quickly.
TP_TIERS = [
(8, 0.30), # +8% sell 30% — quick cost recovery, cover fees
(20, 0.35), # +20% sell 35% — lock in profit
(40, 0.35), # +40% sell 35% — trend continuation reward
]
# ── Stop Loss ─────────────────────────────────────────────────────────────
# Ranking strategy: dropping off the leaderboard = momentum lost, exit quickly.
# Hard stop tightened to -15%.
STOP_LOSS_PCT = -15 # Hard Stop Loss (%) — tighter than Signal Strategy, exit fast on momentum loss
QUICK_STOP_MIN = 3 # Quick Stop: still losing after N minutes of holding
QUICK_STOP_PCT = -8 # Quick Stop: loss exceeds N%
TRAILING_ACTIVATE = 10 # Trailing Stop: activates when profit exceeds N%
TRAILING_DROP = 8 # Trailing Stop: triggers when drawdown N% from peak
MAX_HOLD_HOURS = 2 # Time Stop: max holding hours — leaderboard heat fades fast
# ── Monitoring ────────────────────────────────────────────────────────────
MONITOR_INTERVAL = 10 # Position check interval (seconds)
HEALTH_CHECK_SEC = 300 # Wallet audit interval (seconds, 5min)
# ── Network ───────────────────────────────────────────────────────────────
DASHBOARD_PORT = 3244 # Dashboard port
# ── Blacklist ─────────────────────────────────────────────────────────────
SKIP_TOKENS = [
"11111111111111111111111111111111", # native SOL
"So11111111111111111111111111111111111111112", # WSOL
"EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v", # USDC
]
BLACKLIST = []
"""
Top Rank Tokens Sniper v1.0 — 榜单狙击手
Dashboard: http://localhost:3244
Run: python3 ranking_sniper.py
Requires: onchainos CLI >= 2.0.0-beta (onchainos wallet login required)
No pip install needed for any third-party packages
"""
import os, sys, time, json, subprocess, shutil, threading, random, string
from pathlib import Path
from http.server import HTTPServer, BaseHTTPRequestHandler
from datetime import datetime, timezone
# ── Load Config ──────────────────────────────────────────────────────────
PROJECT_DIR = Path(__file__).parent
sys.path.insert(0, str(PROJECT_DIR))
import config as C
from risk_check import pre_trade_checks, post_trade_flags
STATE_DIR = PROJECT_DIR / "state"
WSOL = "So11111111111111111111111111111111111111112"
SOL_NATIVE = "11111111111111111111111111111111"
# ── onchainos CLI ───────────────────────────────────────────────────────
_ONCHAINOS = shutil.which("onchainos") or os.path.expanduser("~/.local/bin/onchainos")
def _check_onchainos():
if not os.path.isfile(_ONCHAINOS):
print("=" * 60)
print(" FATAL: onchainos CLI not found")
print(f" Path: {_ONCHAINOS}")
print(" Install: curl -fsSL https://onchainos.com/install.sh | bash")
print("=" * 60)
sys.exit(1)
try:
r = subprocess.run([_ONCHAINOS, "--version"], capture_output=True, text=True, timeout=10)
print(f" onchainos CLI: {r.stdout.strip()}")
except Exception as e:
print(f" WARNING: onchainos --version failed: {e}")
def _onchainos(*args, timeout=30):
cmd = [_ONCHAINOS] + list(args)
try:
result = subprocess.run(cmd, capture_output=True, text=True, timeout=timeout)
except subprocess.TimeoutExpired:
raise RuntimeError(f"onchainos timeout ({timeout}s): {' '.join(args[:3])}")
out = result.stdout.strip()
if not out:
err = result.stderr.strip()
raise RuntimeError(f"onchainos empty output (rc={result.returncode}): {err[:200]}")
try:
parsed = json.loads(out)
except json.JSONDecodeError:
raise RuntimeError(f"onchainos invalid JSON: {out[:200]}")
if not parsed.get("ok", True):
raise RuntimeError(f"onchainos error: {parsed.get('msg', out[:200])}")
return parsed.get("data", parsed)
# ── Data API Layer ───────────────────────────────────────────────────────
def sf(v, fb=0):
try:
n = float(v)
return n if n == n else fb # NaN check
except (TypeError, ValueError):
return fb
def get_ranking(top_n=20):
d = _onchainos("token", "trending", "--chain", "solana", "--sort-by", "2", "--time-frame", "2")
return (d if isinstance(d, list) else [])[:top_n]
def get_advanced(addr):
return _onchainos("token", "advanced-info", "--chain", "solana", "--address", addr)
def get_holders(addr, tag):
d = _onchainos("token", "holders", "--chain", "solana", "--address", addr, "--tag-filter", str(tag))
return d if isinstance(d, list) else []
def get_batch_prices(addrs):
tokens = ",".join(f"501:{a}" for a in addrs)
d = _onchainos("market", "prices", "--tokens", tokens)
m = {}
for i in (d if isinstance(d, list) else []):
m[i.get("tokenContractAddress", "")] = sf(i.get("price"))
return m
def get_sol_price():
m = get_batch_prices([SOL_NATIVE])
return m.get(SOL_NATIVE, 0)
def get_quote(from_, to_, amt):
d = _onchainos("swap", "quote", "--from", from_, "--to", to_, "--amount", str(amt), "--chain", "solana")
q = d[0] if isinstance(d, list) else d
return {
"routerResult": {
"toTokenAmount": str(q.get("toTokenAmount", 0) if q else 0),
"toTokenUsdPrice": (q.get("toToken", {}) or {}).get("tokenUnitPrice", "0") if q else "0",
"toTokenDecimal": int((q.get("toToken", {}) or {}).get("decimal", 9)) if q else 9,
}
}
def get_swap(from_, to_, amt, wallet, slippage=2):
d = _onchainos("swap", "swap", "--from", from_, "--to", to_, "--amount", str(amt),
"--chain", "solana", "--wallet", wallet, "--slippage", str(slippage))
return d[0] if isinstance(d, list) else d
def get_wallet_tokens():
d = _onchainos("wallet", "balance", "--chain", "501")
assets = ((d or {}).get("details", [{}]) or [{}])[0].get("tokenAssets", [])
return [a for a in assets if a.get("tokenAddress") and a["tokenAddress"] != "" and sf(a.get("balance")) > 0]
def wallet_addr():
d = _onchainos("wallet", "addresses", "--chain", "501")
addr = None
if isinstance(d, dict):
sol_list = d.get("solana", [])
if sol_list:
addr = sol_list[0].get("address")
if not addr:
addrs = d.get("addresses", [])
if addrs:
addr = addrs[0].get("address") if isinstance(addrs[0], dict) else addrs[0]
elif isinstance(d, list) and d:
addr = d[0].get("address") if isinstance(d[0], dict) else d[0]
if not addr:
raise RuntimeError("No Solana address — run: onchainos wallet login")
return addr
def sol_balance():
d = _onchainos("wallet", "balance", "--chain", "501")
assets = ((d or {}).get("details", [{}]) or [{}])[0].get("tokenAssets", [])
sol = next((a for a in assets if a.get("symbol") == "SOL" and a.get("tokenAddress", "") == ""), None)
return sf(sol.get("balance")) if sol else 0
def sign_and_send(call_data, to):
d = _onchainos("wallet", "contract-call", "--chain", "501", "--to", to, "--unsigned-tx", call_data)
return {"success": True, "txHash": (d or {}).get("txHash", ""), "orderId": (d or {}).get("orderId", ""), "error": None}
def order_status(order_id):
if not order_id:
return "FAILED"
try:
# [C1] wallet order-status doesn't exist — use wallet history
d = _onchainos("wallet", "history", "--tx-hash", order_id, "--chain-index", "501")
item = d[0] if isinstance(d, list) and d else (d if isinstance(d, dict) else {})
status = str(item.get("txStatus", "0"))
if status in ("1", "2", "SUCCESS"):
return "SUCCESS"
if status in ("3", "FAILED"):
return "FAILED"
if status in ("TIMEOUT", "EXPIRED"):
return "TIMEOUT"
return "PENDING"
except Exception:
return "PENDING"
def query_token_balance(token_addr):
try:
d = _onchainos("wallet", "balance", "--chain", "501")
assets = ((d or {}).get("details", [{}]) or [{}])[0].get("tokenAssets", [])
tok = next((a for a in assets if a.get("tokenContractAddress") == token_addr or a.get("tokenAddress") == token_addr), None)
return sf(tok.get("balance")) if tok else 0
except Exception:
return -1 # RPC error — caller must NOT treat as zero
# ── State Management ─────────────────────────────────────────────────────
_state_lock = threading.Lock()
def _ensure_dir(p):
p.mkdir(parents=True, exist_ok=True)
def state_read(filename, fallback=None):
fp = STATE_DIR / filename
try:
return json.loads(fp.read_text("utf-8"))
except Exception:
return fallback
def state_write(filename, data):
fp = STATE_DIR / filename
_ensure_dir(fp.parent)
tmp = fp.with_suffix(fp.suffix + ".tmp")
tmp.write_text(json.dumps(data, indent=2, ensure_ascii=False), "utf-8")
tmp.rename(fp)
def _mode_file(f):
return f"{C.MODE}/{f}"
def load_positions():
return state_read(_mode_file("positions.json"), [])
def save_positions(p):
state_write(_mode_file("positions.json"), p)
def load_trades():
return state_read(_mode_file("trades.json"), [])
def add_trade(t):
with _state_lock:
a = load_trades()
a.append(t)
state_write(_mode_file("trades.json"), a)
def today_key():
return datetime.now(timezone.utc).strftime("%Y-%m-%d")
def today_stats():
all_stats = state_read(_mode_file("daily-stats.json"), {})
k = today_key()
if k not in all_stats:
all_stats[k] = {"pnlSol": 0, "trades": 0, "wins": 0, "losses": 0}
state_write(_mode_file("daily-stats.json"), all_stats)
return all_stats[k]
def update_today(u):
all_stats = state_read(_mode_file("daily-stats.json"), {})
k = today_key()
all_stats[k] = {**(all_stats.get(k) or {"pnlSol": 0, "trades": 0, "wins": 0, "losses": 0}), **u}
state_write(_mode_file("daily-stats.json"), all_stats)
def add_signal(s):
with _state_lock:
a = state_read(_mode_file("signals-log.json"), [])
a.append(s)
if len(a) > 100:
a = a[-100:]
state_write(_mode_file("signals-log.json"), a)
# ── Engine State ────────────────────────────────────────────────────────
_engine_lock = threading.Lock()
_running = False
_prev_snap = set()
_first_poll = True
_cooldown = {} # addr → timestamp
_buying = set() # addresses currently being bought
_unconfirmed = {} # addr → {pos, zero_count, start_time, order_id}
_roster = [] # current top N ranking
_logs = [] # engine logs
_MAX_LOG = 200
_poll_busy = False
_mon_busy = False
_audit_busy = False
_scanner_thread = None
_monitor_thread = None
_audit_thread = None
_wallet_cache = None # cached Solana address — fetched once per engine start
_stop_event = threading.Event()
# Session risk control state
_session_risk = {
"consecutive_losses": 0,
"cumulative_loss_sol": 0.0,
"paused_until": 0,
"stopped": False,
}
def _record_session_loss(loss_sol):
"""Record loss, trigger session pause/stop"""
_session_risk["consecutive_losses"] += 1
_session_risk["cumulative_loss_sol"] += abs(loss_sol)
if _session_risk["cumulative_loss_sol"] >= C.SESSION_STOP_SOL:
_session_risk["stopped"] = True
log("SESSION", f"🛑 STOPPED — cumulative loss {_session_risk['cumulative_loss_sol']:.4f} SOL >= {C.SESSION_STOP_SOL}")
elif _session_risk["consecutive_losses"] >= C.MAX_CONSEC_LOSS:
_session_risk["paused_until"] = time.time() + C.PAUSE_CONSEC_SEC
log("SESSION", f"⏸ PAUSED {C.PAUSE_CONSEC_SEC//60}min — {_session_risk['consecutive_losses']} consecutive losses")
def _record_session_win():
"""Record win, reset consecutive loss counter"""
_session_risk["consecutive_losses"] = 0
def log(type_, msg):
ts = int(time.time() * 1000)
entry = {"ts": ts, "type": type_, "msg": msg}
with _engine_lock:
_logs.append(entry)
if len(_logs) > _MAX_LOG:
_logs.pop(0)
t_str = datetime.fromtimestamp(ts / 1000).strftime("%H:%M:%S")
print(f"[{t_str}][{type_}] {msg}")
def engine_state():
return {
"running": _running,
"mode": C.MODE,
"version": "1.0.0",
"positionsCount": len(load_positions()),
"maxPositions": C.MAX_POSITIONS,
"totalBudget": C.TOTAL_BUDGET,
}
def get_logs(n=50):
with _engine_lock:
return list(_logs[-n:])
def get_roster():
return list(_roster)
# ── Engine Start / Stop ─────────────────────────────────────────────────
def engine_start():
global _running, _first_poll, _prev_snap, _scanner_thread, _monitor_thread, _audit_thread, _wallet_cache
if _running:
return {"ok": False, "msg": "Already running"}
if C.MODE == "live":
log("ENGINE", "Live mode — agentic wallet (onchainos wallet)")
try:
_wallet_cache = wallet_addr() # cache once; avoids CLI call on every buy/sell
except Exception as e:
log("FATAL", f"Wallet connection failed: {e}")
log("FATAL", "Please confirm: onchainos wallet login <email> has been executed")
return {"ok": False, "msg": f"Wallet error: {e}"}
try:
_wallet_audit()
except Exception as e:
log("WARN", f"Wallet audit skipped: {e}")
_running = True
_first_poll = True
_prev_snap = set()
_cooldown.clear()
_buying.clear()
_unconfirmed.clear()
_stop_event.clear()
log("ENGINE", f"Started v1.0 | mode={C.MODE} | budget={C.TOTAL_BUDGET}SOL | per_trade={C.BUY_AMOUNT}SOL | max_pos={C.MAX_POSITIONS}")
_scanner_thread = threading.Thread(target=_scanner_loop, daemon=True)
_monitor_thread = threading.Thread(target=_monitor_loop, daemon=True)
_scanner_thread.start()
_monitor_thread.start()
if C.MODE == "live":
_audit_thread = threading.Thread(target=_audit_loop, daemon=True)
_audit_thread.start()
return {"ok": True, "msg": "Engine started"}
def engine_stop():
global _running, _wallet_cache
if not _running:
return {"ok": False, "msg": "Not running"}
_wallet_cache = None
_running = False
_stop_event.set()
# Close all positions
pos = load_positions()
if pos:
log("ENGINE", f"Closing {len(pos)} position(s)...")
try:
sp = get_sol_price()
except Exception:
sp = 0
try:
pm = get_batch_prices([p["tokenAddress"] for p in pos])
except Exception:
pm = {}
failed = []
for p in pos:
try:
cp = pm.get(p["tokenAddress"], sf(p.get("lastCheckPrice")))
bp = sf(p.get("buyPrice"))
pnl = ((cp - bp) / bp) * 100 if bp > 0 else 0
_sell(p, 1, "StopExit", pnl, sp)
log("SELL", f"{p['tokenSymbol']} | StopExit | PnL:{pnl:.1f}%")
except Exception as e:
log("ERROR", f"StopExit {p['tokenSymbol']}: {e}")
failed.append(p)
save_positions(failed)
log("ENGINE", "Stopped")
return {"ok": True, "msg": "Engine stopped"}
# ── Scanner Loop ────────────────────────────────────────────────────────
def _scanner_loop():
while not _stop_event.is_set():
if _running:
_poll()
_stop_event.wait(C.POLL_INTERVAL)
def _poll():
global _poll_busy, _first_poll, _prev_snap, _roster
if not _running or _poll_busy:
return
_poll_busy = True
try:
rank = get_ranking(C.TOP_N)
if not rank:
log("WARN", "Empty ranking")
return
_roster = rank
cur = set(t.get("tokenContractAddress", "") for t in rank)
if _first_poll:
_prev_snap = cur
_first_poll = False
log("ENGINE", f"Initial snapshot: {len(rank)} tokens")
return
news = [t for t in rank if t.get("tokenContractAddress", "") not in _prev_snap]
_prev_snap = cur
if not news:
return
log("ENGINE", f"New entries: {', '.join(t.get('tokenSymbol', '?') for t in news)}")
cands = []
for t in news:
r = _filter(t)
if r:
cands.append(r)
cands.sort(key=lambda x: x["score"], reverse=True)
delay = 2.0 if C.MODE == "live" else 0.3
for i, cand in enumerate(cands):
_buy(cand)
if i < len(cands) - 1:
time.sleep(delay)
except Exception as e:
log("ERROR", f"poll: {e}")
finally:
_poll_busy = False
# ── 3-Level Filter ──────────────────────────────────────────────────────
def _filter(tok):
addr = tok.get("tokenContractAddress", "")
sym = tok.get("tokenSymbol", "?")
ch = sf(tok.get("change"))
liq = sf(tok.get("liquidity"))
mc = sf(tok.get("marketCap"))
hold = sf(tok.get("holders"))
txs = sf(tok.get("txs"), 1)
txs_buy = sf(tok.get("txsBuy"))
tr = sf(tok.get("uniqueTraders"))
br = txs_buy / txs if txs > 0 else 0
# Level 1: Slot Guard
rej = []
if ch < C.MIN_CHANGE_PCT:
rej.append(f"change<{C.MIN_CHANGE_PCT}%")
if ch > C.MAX_CHANGE_PCT:
rej.append(f"change>{C.MAX_CHANGE_PCT}%")
if liq < C.MIN_LIQUIDITY:
rej.append(f"liq<${C.MIN_LIQUIDITY}")
if mc < C.MIN_MCAP:
rej.append(f"mcap<${C.MIN_MCAP}")
if mc > C.MAX_MCAP:
rej.append(f"mcap>${C.MAX_MCAP}")
if hold < C.MIN_HOLDERS:
rej.append(f"holders<{C.MIN_HOLDERS}")
if br < C.MIN_BUY_RATIO:
rej.append(f"buyRatio<{C.MIN_BUY_RATIO * 100:.0f}%")
if tr < C.MIN_TRADERS:
rej.append(f"traders<{C.MIN_TRADERS}")
if addr in set(C.SKIP_TOKENS) | set(C.BLACKLIST):
rej.append("blacklisted")
ls = _cooldown.get(addr)
if ls and time.time() * 1000 - ls < C.COOLDOWN_MIN * 60000:
rej.append("cooldown")
pos = load_positions()
if len(pos) >= C.MAX_POSITIONS:
rej.append("max_positions")
if any(p["tokenAddress"] == addr for p in pos):
rej.append("already_held")
td = today_stats()
if td["pnlSol"] < 0 and abs(td["pnlSol"]) >= C.TOTAL_BUDGET * C.DAILY_LOSS_LIMIT:
rej.append("daily_loss_limit")
# Session risk control check
if _session_risk["stopped"]:
rej.append("session_stopped")
elif _session_risk["paused_until"] > time.time():
remain = int((_session_risk["paused_until"] - time.time()) / 60)
rej.append(f"session_paused_{remain}min")
if rej:
log("SKIP", f"{sym}: {', '.join(rej)}")
add_signal({"ts": int(time.time() * 1000), "token": sym, "addr": addr, "type": "SKIP", "reasons": rej})
return None
# Level 2: Advanced Safety Check
try:
adv = get_advanced(addr)
except Exception as e:
log("SAFETY_REJECT", f"{sym}: api_error: {e}")
add_signal({"ts": int(time.time() * 1000), "token": sym, "addr": addr, "type": "SAFETY_REJECT", "reasons": ["api_error"]})
return None
sr = []
rl = sf((adv or {}).get("riskControlLevel"), 3)
t10 = sf((adv or {}).get("top10HoldPercent"), 100)
dh = sf((adv or {}).get("devHoldingPercent"), 100)
bh = sf((adv or {}).get("bundleHoldingPercent"), 100)
lpb = sf((adv or {}).get("lpBurnedPercent"), 0)
drc = sf((adv or {}).get("devRugPullTokenCount"), 999)
dev_created = sf((adv or {}).get("devCreateTokenCount", (adv or {}).get("devLaunchedTokenCount", 0)), 0)
snh = sf((adv or {}).get("sniperHoldingPercent"), 100)
is_int = (adv or {}).get("isInternal")
raw_tags = (adv or {}).get("tokenTags", [])
if isinstance(raw_tags, str):
tags = raw_tags.split(",")
elif isinstance(raw_tags, list):
tags = raw_tags
else:
tags = []
if rl > C.MAX_RISK_LEVEL:
sr.append(f"RiskLevel:{rl}")
if C.BLOCK_HONEYPOT and any("honeypot" in (t if isinstance(t, str) else "").lower() for t in tags):
sr.append("Honeypot")
if t10 > C.MAX_TOP10_HOLD:
sr.append(f"Top10:{t10:.1f}%")
if dh > C.MAX_DEV_HOLD:
sr.append(f"DevHold:{dh:.1f}%")
if bh > C.MAX_BUNDLE_HOLD:
sr.append(f"Bundle:{bh:.1f}%")
if not is_int and lpb < C.MIN_LP_BURN:
sr.append(f"LPBurn:{lpb:.1f}%")
# Rate-based rug check (aligned with risk_check.py)
rug_rate = drc / max(dev_created, 1) if dev_created > 0 else (1.0 if drc > 0 else 0.0)
if rug_rate >= 0.20 and drc >= 3:
sr.append(f"SerialRugger:rate={rug_rate*100:.0f}%×{drc:.0f}")
elif drc > C.MAX_DEV_RUG_COUNT:
sr.append(f"DevRug:{drc:.0f}")
if snh > C.MAX_SNIPER_HOLD:
sr.append(f"Sniper:{snh:.1f}%")
if C.BLOCK_INTERNAL and is_int is True:
sr.append("Internal")
if sr:
log("SAFETY_REJECT", f"{sym}: {', '.join(sr)}")
add_signal({"ts": int(time.time() * 1000), "token": sym, "addr": addr, "type": "SAFETY_REJECT", "reasons": sr})
return None
# Level 3: Holder Risk Scan
try:
sus_d = get_holders(addr, 6)
phi_d = get_holders(addr, 8)
except Exception as e:
log("HOLDER_REJECT", f"{sym}: api_error: {e}")
add_signal({"ts": int(time.time() * 1000), "token": sym, "addr": addr, "type": "HOLDER_REJECT", "reasons": ["api_error"]})
return None
hr = []
sus_act = [h for h in sus_d if sf(h.get("holdPercent")) > 0]
sus_p = sum(sf(h.get("holdPercent")) * 100 for h in sus_act)
phi_act = [h for h in phi_d if sf(h.get("holdPercent")) > 0]
if sus_p > C.MAX_SUSPICIOUS_HOLD:
hr.append(f"SuspiciousHold:{sus_p:.1f}%")
if C.BLOCK_PHISHING and len(phi_act) > 0:
hr.append(f"PhishingHolder:{len(phi_act)}")
if len(sus_act) > C.MAX_SUSPICIOUS_COUNT:
hr.append(f"SuspiciousCount:{len(sus_act)}")
if hr:
log("HOLDER_REJECT", f"{sym}: {', '.join(hr)}")
add_signal({"ts": int(time.time() * 1000), "token": sym, "addr": addr, "type": "HOLDER_REJECT", "reasons": hr})
return None
# Momentum Score
score = _calc_score(tok, adv, tags, len(sus_act))
log("PASS", f"{sym} | +{ch:.1f}% | BR:{br * 100:.0f}% | Score:{score}")
add_signal({"ts": int(time.time() * 1000), "token": sym, "addr": addr, "type": "PASS", "score": score, "change": ch})
return {"tok": tok, "adv": adv, "tags": tags, "score": score, "ch": ch, "br": br, "sus_c": len(sus_act)}
def _calc_score(tok, adv, tags, sus_c):
ch = sf(tok.get("change"))
txs = sf(tok.get("txs"), 1)
br = sf(tok.get("txsBuy")) / txs if txs > 0 else 0
tr = sf(tok.get("uniqueTraders"))
liq = sf(tok.get("liquidity"))
base = (min(br, 1) * 40
+ (max(0, 20 - (ch - 100) / 10) if ch > 100 else min(ch / 5, 20))
+ min(tr / 50, 1) * 20
+ min(liq / 50000, 1) * 20)
tl = [(t.lower() if isinstance(t, str) else "") for t in tags]
b = 0
if any("smartmoneybuy" in t for t in tl):
b += 8
t10 = sf((adv or {}).get("top10HoldPercent"), 100)
if t10 < 30:
b += 5
elif t10 < 50:
b += 2
if any("dspaid" in t for t in tl):
b += 3
if any("communitytakeover" in t for t in tl):
b += 2
sn = sf((adv or {}).get("sniperHoldingPercent"), 100)
if sn < 5:
b += 4
elif sn < 10:
b += 2
if sf((adv or {}).get("devHoldingPercent"), 100) == 0 and sf((adv or {}).get("devRugPullTokenCount"), 999) < 3:
b += 3
if sus_c == 0:
b += 2
return round(base + min(b, 25))
# ── Buy ─────────────────────────────────────────────────────────────────
def _buy(cand):
tok = cand["tok"]
adv = cand["adv"]
tags = cand["tags"]
score = cand["score"]
ch = cand["ch"]
br = cand["br"]
addr = tok.get("tokenContractAddress", "")
sym = tok.get("tokenSymbol", "?")
dec = int(sf(tok.get("decimal"), 9))
if addr in _buying:
return
_buying.add(addr)
try:
amt = C.BUY_AMOUNT
if len(load_positions()) >= C.MAX_POSITIONS:
log("SKIP", f"{sym}: max_positions")
return
# Risk check — honeypot, wash trading, rug rate
try:
rc = pre_trade_checks(addr, sym, quick=True)
if rc["grade"] >= 3:
log("RISK_BLOCK", f"{sym}: G{rc['grade']} — {', '.join(rc['reasons'][:2])}")
add_signal({"ts": int(time.time() * 1000), "token": sym, "addr": addr, "type": "RISK_BLOCK", "reasons": rc["reasons"]})
return
if rc["grade"] == 2:
log("RISK_CAUTION", f"{sym}: {', '.join(rc['cautions'][:2])}")
except Exception as e:
log("WARN", f"{sym}: risk_check error: {e}")
# Non-fatal — proceed if risk_check fails
_rc_info = rc.get("raw", {}).get("info", {}) if 'rc' in locals() else {}
_rc_liq = rc.get("raw", {}).get("liquidity_usd", 0) if 'rc' in locals() else 0
price = 0
hold = 0.0
tx_hash = ""
if C.MODE == "paper":
# Paper mode
try:
q = get_quote(SOL_NATIVE, addr, str(round(amt * 1e9)))
rr = q.get("routerResult", {})
dec = int(rr.get("toTokenDecimal", dec))
hold = sf(rr.get("toTokenAmount")) / (10 ** dec)
price = sf(rr.get("toTokenUsdPrice"))
if not price:
price = sf(tok.get("price"))
if not price and hold > 0:
sp = get_sol_price()
price = (amt * sp) / hold
except Exception:
price = sf(tok.get("price"))
try:
sp = get_sol_price()
if price > 0 and sp > 0:
hold = (amt * sp) / price
except Exception:
pass
if not price or price <= 0:
log("SKIP", f"{sym}: price=0")
return
with _state_lock:
pos = load_positions()
pos.append(_make_position(addr, sym, dec, price, amt, hold, ch, score, {}))
# Attach risk_check snapshots
if 'rc' in locals() and rc.get("raw"):
pos[-1]["entry_liquidity_usd"] = rc["raw"].get("liquidity_usd", 0)
pos[-1]["entry_top10"] = float(rc["raw"].get("info", {}).get("top10HoldPercent", 0) or 0)
pos[-1]["entry_sniper_pct"] = float(rc["raw"].get("info", {}).get("sniperHoldingPercent", 0) or 0)
save_positions(pos)
add_trade(_make_trade("buy", addr, sym, amt, hold, price, tx_hash, f"rank_score_{score}", "0", "0"))
log("BUY", f"{sym} | +{sf(ch):.0f}% | BR:{sf(br) * 100:.0f}% | S:{score} | {amt}SOL | ${price}")
else:
# Live mode
try:
bal = sol_balance()
min_required = amt + C.GAS_RESERVE
if bal < min_required:
log("SKIP", f"{sym}: balance {bal:.4f} < {min_required:.4f} (buy {amt} + gas {C.GAS_RESERVE})")
return
w_addr = _wallet_cache or wallet_addr()
log("ENGINE", f"{sym}: getSwap...")
sw = get_swap(SOL_NATIVE, addr, str(round(amt * 1e9)), w_addr, C.SLIPPAGE_BUY)
tx_data = (sw or {}).get("tx", {})
if not tx_data.get("data"):
raise RuntimeError(f"No callData: {json.dumps(sw)[:300]}")
log("ENGINE", f"{sym}: signAndSend...")
res = sign_and_send(tx_data["data"], tx_data["to"])
if not res["success"]:
log("ERROR", f"{sym}: tx fail: {res['error']}")
return
tx_hash = res["txHash"]
o_id = res["orderId"]
# Layer 1: order_status confirmation
tx_status = "PENDING"
if o_id:
time.sleep(2)
for _ in range(5):
tx_status = order_status(o_id)
if tx_status != "PENDING":
break
time.sleep(2)
elif tx_hash:
tx_status = "SUCCESS"
if tx_status == "FAILED":
log("ERROR", f"{sym}: tx FAILED on-chain (orderId: {o_id})")
return
# Extract swap result
rr = (sw or {}).get("routerResult", {})
dec = int(sf(rr.get("toToken", {}).get("decimal", rr.get("toTokenDecimal", dec))))
hold = sf(rr.get("toTokenAmount")) / (10 ** dec)
price = sf(rr.get("toTokenUsdPrice")) or sf(tok.get("price"))
# Layer 2: on-chain balance verification
confirmed = False
if tx_status == "SUCCESS":
time.sleep(1)
on_chain_bal = query_token_balance(addr)
if on_chain_bal > 0:
confirmed = True
hold = on_chain_bal
log("LIVE_BUY", f"{sym} | tx: {tx_hash} | ${price} | balance verified: {hold}")
elif on_chain_bal == -1:
confirmed = True
log("LIVE_BUY", f"{sym} | tx: {tx_hash} | ${price} | RPC error on verify, assuming success")
else:
log("WARN", f"{sym}: order SUCCESS but balance=0, marking unconfirmed")
safety_d = {
"riskControlLevel": str((adv or {}).get("riskControlLevel", "")),
"top10HoldPercent": str((adv or {}).get("top10HoldPercent", "")),
"devHoldingPercent": str((adv or {}).get("devHoldingPercent", "")),
"sniperHoldingPercent": str((adv or {}).get("sniperHoldingPercent", "")),
"bundleHoldingPercent": str((adv or {}).get("bundleHoldingPercent", "")),
"devRugPullTokenCount": str((adv or {}).get("devRugPullTokenCount", "")),
"hasSmartMoney": any("smartmoneybuy" in (t.lower() if isinstance(t, str) else "") for t in tags),
}
if confirmed:
if not price or price <= 0:
log("SKIP", f"{sym}: price=0 after verification")
return
with _state_lock:
pos = load_positions()
pos.append(_make_position(addr, sym, dec, price, amt, hold, ch, score, safety_d))
# Attach risk_check snapshots
if 'rc' in locals() and rc.get("raw"):
pos[-1]["entry_liquidity_usd"] = rc["raw"].get("liquidity_usd", 0)
pos[-1]["entry_top10"] = float(rc["raw"].get("info", {}).get("top10HoldPercent", 0) or 0)
pos[-1]["entry_sniper_pct"] = float(rc["raw"].get("info", {}).get("sniperHoldingPercent", 0) or 0)
save_positions(pos)
add_trade(_make_trade("buy", addr, sym, amt, hold, price, tx_hash, f"rank_score_{score}", "0", "0"))
log("BUY", f"{sym} | +{sf(ch):.0f}% | BR:{sf(br) * 100:.0f}% | S:{score} | {amt}SOL | ${price} | balance verified")
return
# Layer 3: unconfirmed position
unconf_pos = _make_position(addr, sym, dec, price or sf(tok.get("price")), amt, hold, ch, score, safety_d)
unconf_pos["unconfirmed"] = True
unconf_pos["triggerReason"] += " (unconfirmed)"
_unconfirmed[addr] = {"pos": unconf_pos, "zero_count": 0, "start_time": time.time() * 1000, "order_id": o_id}
add_trade(_make_trade("buy", addr, sym, amt, hold, price, tx_hash, f"rank_score_{score}(unconfirmed)", "0", "0"))
log("BUY_UNCONFIRMED", f"{sym} | tx: {tx_hash} | orderId: {o_id} | monitoring balance...")
except Exception as e:
log("ERROR", f"{sym}: live buy: {e}")
except Exception as e:
log("ERROR", f"buy {sym}: {e}")
finally:
_buying.discard(addr)
def _make_position(addr, sym, dec, price, amt, hold, ch, score, safety_d):
now = int(time.time() * 1000)
return {
"tokenAddress": addr, "tokenSymbol": sym, "decimal": dec,
"buyPrice": str(price), "buyAmountSol": str(amt), "holdAmount": str(hold),
"buyCount": 1, "buyTimestamp": now,
"lastCheckPrice": str(price), "lastCheckTime": now,
"peakPrice": str(price), "takeProfitTier": 0,
"triggerReason": f"Rank +{sf(ch):.0f}% S:{score}",
"safetyData": safety_d,
"entry_liquidity_usd": 0,
"entry_top10": 0,
"entry_sniper_pct": 0,
"risk_last_checked": 0,
}
def _make_trade(direction, addr, sym, amt_sol, amt_token, price, tx_hash, reason, pnl_pct, pnl_sol):
return {
"tradeId": f"{direction}-{int(time.time() * 1000)}-{addr[:4]}-{''.join(random.choices(string.ascii_lowercase, k=4))}",
"timestamp": int(time.time() * 1000),
"direction": direction,
"tokenAddress": addr, "tokenSymbol": sym,
"amountSol": str(amt_sol), "amountToken": str(amt_token),
"priceUsd": str(price), "txHash": tx_hash,
"reason": reason, "pnlPercent": str(pnl_pct), "pnlSol": str(pnl_sol),
"mode": C.MODE,
}
# ── Monitor Loop (6-layer exit) ────────────────────────────────────────
def _monitor_loop():
while not _stop_event.is_set():
if _running:
_monitor()
_stop_event.wait(C.MONITOR_INTERVAL)
def _monitor():
global _mon_busy
if not _running or _mon_busy:
return
_mon_busy = True
try:
# Layer 3: check unconfirmed positions
if C.MODE == "live":
_check_unconfirmed()
pos = load_positions()
if not pos:
return
try:
sp = get_sol_price()
except Exception:
sp = 130
try:
pm = get_batch_prices([p["tokenAddress"] for p in pos])
except Exception as e:
log("WARN", f"price fetch: {e}")
return
rm = []
for p in pos:
try:
cp = pm.get(p["tokenAddress"], 0)
if cp <= 0:
continue
p["lastCheckPrice"] = str(cp)
p["lastCheckTime"] = int(time.time() * 1000)
pk = sf(p.get("peakPrice"))
if cp > pk:
p["peakPrice"] = str(cp)
bp = sf(p.get("buyPrice"))
if bp <= 0:
continue
pnl = ((cp - bp) / bp) * 100
mins = (time.time() * 1000 - p["buyTimestamp"]) / 60000
# EXIT 0: Ranking Exit
if C.ENABLE_RANKING_EXIT and mins >= 1 and not any(t.get("tokenContractAddress") == p["tokenAddress"] for t in _roster):
log("RANK_EXIT", f"{p['tokenSymbol']} dropped, PnL: {pnl:.1f}%")
_sell(p, 1, "RankExit", pnl, sp)
rm.append(p["tokenAddress"])
continue
# EXIT 1: Hard Stop
if pnl <= C.STOP_LOSS_PCT:
log("SELL", f"{p['tokenSymbol']} | HardSL | PnL:{pnl:.1f}%")
_sell(p, 1, f"SL({C.STOP_LOSS_PCT}%)", pnl, sp)
rm.append(p["tokenAddress"])
continue
# EXIT 2: Quick Stop
if mins >= C.QUICK_STOP_MIN and pnl <= C.QUICK_STOP_PCT:
log("SELL", f"{p['tokenSymbol']} | QuickSL | PnL:{pnl:.1f}%")
_sell(p, 1, "QuickSL", pnl, sp)
rm.append(p["tokenAddress"])
continue
# EXIT 3: Trailing Stop
ppnl = ((sf(p.get("peakPrice")) - bp) / bp) * 100
if ppnl >= C.TRAILING_ACTIVATE and ppnl - pnl >= C.TRAILING_DROP:
log("SELL", f"{p['tokenSymbol']} | TrailSL | PnL:{pnl:.1f}%")
_sell(p, 1, "TrailSL", pnl, sp)
rm.append(p["tokenAddress"])
continue
# EXIT 4: Time Stop
if mins / 60 >= C.MAX_HOLD_HOURS:
log("SELL", f"{p['tokenSymbol']} | TimeSL | PnL:{pnl:.1f}%")
_sell(p, 1, "TimeSL", pnl, sp)
rm.append(p["tokenAddress"])
continue
# EXIT 5: Tiered Take Profit
ct = p.get("takeProfitTier", 0)
for i in range(ct, len(C.TP_TIERS)):
tp_pct, tp_sell = C.TP_TIERS[i]
if pnl >= tp_pct:
log("SELL", f"{p['tokenSymbol']} | TP{i + 1}(+{tp_pct}%) | PnL:{pnl:.1f}%")
prev_hold = p["holdAmount"]
try:
_sell(p, tp_sell, f"TP{i + 1}", pnl, sp)
p["takeProfitTier"] = i + 1
if i == len(C.TP_TIERS) - 1:
rm.append(p["tokenAddress"])
except Exception as e:
p["holdAmount"] = prev_hold
log("ERROR", f"TP sell {p['tokenSymbol']}: {e}")
break
except Exception as e:
log("ERROR", f"mon {p['tokenSymbol']}: {e}")
if rm:
save_positions([p for p in pos if p["tokenAddress"] not in rm])
else:
save_positions(pos)
# Risk check post-trade monitoring (background, throttled 60s per position)
for p in (load_positions() if not rm else [px for px in pos if px["tokenAddress"] not in rm]):
_rlc = p.get("risk_last_checked", 0)
if time.time() - _rlc < 60:
continue
# Update timestamp
p["risk_last_checked"] = time.time()
_addr = p["tokenAddress"]
_sym = p["tokenSymbol"]
_eliq = p.get("entry_liquidity_usd", 0)
_et10 = p.get("entry_top10", 0)
_esp = p.get("entry_sniper_pct", 0)
def _run_rc(_a=_addr, _s=_sym, _el=_eliq, _t10=_et10, _sp=_esp):
try:
flags = post_trade_flags(_a, _s, entry_liquidity_usd=_el, entry_top10=_t10, entry_sniper_pct=_sp)
for flag in flags:
log("RISK_FLAG", f"{_s}: {flag}")
if flag.startswith("EXIT_NOW"):
log("RISK_EXIT", f"{_s}: {flag}")
# Actually close the position — get current price for PnL
try:
_pi = price_info(_a)
_cp = sf(_pi.get("price"))
except Exception:
_cp = 0
_sell_pos = None
with _state_lock:
_all = load_positions()
_sell_pos = next((px for px in _all if px["tokenAddress"] == _a), None)
if _sell_pos:
_bp = sf(_sell_pos.get("buyPrice"))
_pnl = ((_cp - _bp) / _bp * 100) if _bp > 0 and _cp > 0 else 0
try:
_sp_sol = get_sol_price()
except Exception:
_sp_sol = 0
_sell(_sell_pos, 1, f"RISK:{flag[:30]}", _pnl, _sp_sol)
# Remove from positions
with _state_lock:
_all2 = load_positions()
save_positions([px for px in _all2 if px["tokenAddress"] != _a])
break
except Exception:
pass
threading.Thread(target=_run_rc, daemon=True).start()
except Exception as e:
log("ERROR", f"monitor: {e}")
finally:
_mon_busy = False
# ── Sell ────────────────────────────────────────────────────────────────
def _sell(pos, ratio, reason, pnl, sp):
sym = pos["tokenSymbol"]
addr = pos["tokenAddress"]
hold = sf(pos.get("holdAmount"))
sell_amt = hold * ratio
dec = int(sf(pos.get("decimal"), 9))
lam = round(sell_amt * (10 ** dec))
b_sol = sf(pos.get("buyAmountSol"))
p_sol = b_sol * (pnl / 100) * ratio
tx_hash = ""
if C.MODE == "paper":
try:
get_quote(addr, SOL_NATIVE, str(lam))
except Exception:
pass
else:
# Urgent exit (Ranking Exit / Hard SL / Engine Stop) uses higher slippage to ensure fill
is_urgent = reason in ("RankExit", "StopExit", "QuickSL") or reason.startswith("SL(") or reason.startswith("RISK:")
slippage = C.SLIPPAGE_SELL_URGENT if is_urgent else C.SLIPPAGE_SELL
tx_hash = _live_sell(addr, lam, slippage, sym)
pos["holdAmount"] = str(hold - sell_amt)
add_trade(_make_trade("sell", addr, sym, f"{abs(p_sol + b_sol * ratio):.6f}", str(sell_amt),
pos.get("lastCheckPrice", "0"), tx_hash, reason, f"{pnl:.2f}", f"{p_sol:.6f}"))
td = today_stats()
td["pnlSol"] += p_sol
td["trades"] += 1
if p_sol >= 0:
td["wins"] += 1
_record_session_win()
else:
td["losses"] += 1
_record_session_loss(abs(p_sol))
update_today(td)
if ratio >= 1 or pnl < 0:
_cooldown[addr] = time.time() * 1000
# Cleanup old cooldowns
now = time.time() * 1000
for k in list(_cooldown):
if now - _cooldown[k] > 86400000:
del _cooldown[k]
def _live_sell(addr, lamports, slippage, sym):
w_addr = _wallet_cache or wallet_addr()
try:
return _exec_sell(addr, lamports, slippage, w_addr)
except Exception as e1:
log("WARN", f"{sym}: full sell failed ({e1}), trying batch 50%+50%...")
half = lamports // 2
rest = lamports - half
tx_hash = ""
try:
tx_hash = _exec_sell(addr, half, slippage, w_addr)
log("SELL", f"{sym}: batch 1/2 OK (tx: {tx_hash})")
except Exception as e2:
raise RuntimeError(f"batch sell 1/2 failed: {e2}")
time.sleep(2)
try:
tx2 = _exec_sell(addr, rest, slippage, w_addr)
log("SELL", f"{sym}: batch 2/2 OK (tx: {tx2})")
except Exception as e3:
log("WARN", f"{sym}: batch 2/2 failed ({e3}), partial sell only")
return tx_hash
def _exec_sell(addr, lamports, slippage, w_addr):
sw = get_swap(addr, SOL_NATIVE, str(lamports), w_addr, slippage)
tx_data = (sw or {}).get("tx", {})
if not tx_data.get("data"):
raise RuntimeError(f"No sell callData: {json.dumps(sw)[:200]}")
r = sign_and_send(tx_data["data"], tx_data["to"])
if not r["success"]:
raise RuntimeError(f"sell tx failed: {r['error']}")
return r.get("txHash", "")
# ── Layer 3: Unconfirmed positions ──────────────────────────────────────
def _check_unconfirmed():
if not _unconfirmed:
return
TIMEOUT_MS = 180000
MAX_ZERO = 10
for addr in list(_unconfirmed):
entry = _unconfirmed[addr]
pos = entry["pos"]
elapsed = time.time() * 1000 - entry["start_time"]
bal = query_token_balance(addr)
if bal > 0:
pos["holdAmount"] = str(bal)
pos["unconfirmed"] = False
pos["triggerReason"] = pos["triggerReason"].replace(" (unconfirmed)", " (confirmed)")
with _state_lock:
all_pos = load_positions()
all_pos.append(pos)
save_positions(all_pos)
del _unconfirmed[addr]
log("CONFIRMED", f"{pos['tokenSymbol']} | balance: {bal} | confirmed after {elapsed / 1000:.0f}s")
continue
if bal == -1:
log("WARN", f"{pos['tokenSymbol']}: RPC error checking balance, skipping")
continue
entry["zero_count"] += 1
if entry["zero_count"] >= MAX_ZERO and elapsed > TIMEOUT_MS:
del _unconfirmed[addr]
log("UNCONFIRMED_EXPIRED", f"{pos['tokenSymbol']} | {entry['zero_count']} zero checks over {elapsed / 1000:.0f}s -> position discarded")
else:
log("UNCONFIRMED", f"{pos['tokenSymbol']} | zero #{entry['zero_count']}/{MAX_ZERO} | {elapsed / 1000:.0f}s/{TIMEOUT_MS / 1000:.0f}s")
# ── Layer 4: Wallet Audit ───────────────────────────────────────────────
def _audit_loop():
while not _stop_event.is_set():
_stop_event.wait(C.HEALTH_CHECK_SEC)
if _running and C.MODE == "live":
_wallet_audit()
def _wallet_audit():
global _audit_busy
if _audit_busy:
return
_audit_busy = True
try:
if C.MODE != "live":
return
pos = load_positions()
wallet_tokens = get_wallet_tokens()
if len(wallet_tokens) == 0 and len(pos) > 0:
log("AUDIT", f"Skipped - wallet API returned 0 tokens but we have {len(pos)} position(s)")
return
wallet_map = {}
for wt in wallet_tokens:
# [C3] tokenContractAddress is None in wallet balance — use tokenAddress
wt_addr = wt.get("tokenAddress") or wt.get("tokenContractAddress") or ""
if wt_addr:
wallet_map[wt_addr] = sf(wt.get("balance"))
drifts = 0
AUDIT_COOLDOWN_MS = 300000
for p in pos:
addr = p["tokenAddress"]
wallet_bal = wallet_map.get(addr)
if wallet_bal is None or wallet_bal <= 0:
age = time.time() * 1000 - (p.get("buyTimestamp", 0) or 0)
if age < AUDIT_COOLDOWN_MS:
log("AUDIT", f"{p['tokenSymbol']}: not in wallet but only {age / 1000:.0f}s old, keeping (cooldown)")
continue
direct_bal = query_token_balance(addr)
if direct_bal > 0:
log("AUDIT", f"{p['tokenSymbol']}: not in wallet list but direct query shows {direct_bal}, keeping")
p["holdAmount"] = str(direct_bal)
drifts += 1
continue
if direct_bal == -1:
log("AUDIT", f"{p['tokenSymbol']}: RPC error on direct check, keeping")
continue
log("AUDIT", f"Ghost: {p['tokenSymbol']} in positions but NOT in wallet -> removing")
p["_remove"] = True
drifts += 1
else:
local_bal = sf(p.get("holdAmount"))
diff = abs(wallet_bal - local_bal)
if local_bal > 0 and diff / local_bal > 0.01:
log("AUDIT", f"Drift: {p['tokenSymbol']} local={local_bal} chain={wallet_bal} -> correcting")
p["holdAmount"] = str(wallet_bal)
drifts += 1
# Check for orphaned tokens
pos_addrs = set(p["tokenAddress"] for p in pos)
all_trades = load_trades()
buy_map = {}
for t in all_trades:
if t.get("direction") == "buy":
buy_map[t.get("tokenAddress", "")] = t
for wt in wallet_tokens:
# [C3] use tokenAddress (tokenContractAddress is None)
wt_addr = wt.get("tokenAddress") or wt.get("tokenContractAddress") or ""
if wt_addr in pos_addrs or wt_addr in _unconfirmed:
continue
buy_trade = buy_map.get(wt_addr)
if not buy_trade:
continue
hold_amt = sf(wt.get("balance"))
if hold_amt <= 0:
continue
pos.append({
"tokenAddress": wt_addr,
"tokenSymbol": wt.get("symbol") or buy_trade.get("tokenSymbol", "?"),
"decimal": int(sf(wt.get("decimal"), 9)),
"buyPrice": buy_trade.get("priceUsd", "0"),
"buyAmountSol": buy_trade.get("amountSol", "0"),
"holdAmount": str(hold_amt),
"buyCount": 1,
"buyTimestamp": buy_trade.get("timestamp", int(time.time() * 1000)),
"lastCheckPrice": buy_trade.get("priceUsd", "0"),
"lastCheckTime": int(time.time() * 1000),
"peakPrice": buy_trade.get("priceUsd", "0"),
"takeProfitTier": 0,
"triggerReason": "Recovered(audit)",
"safetyData": {},
})
drifts += 1
log("AUDIT", f"Recovered orphan: {wt.get('symbol') or wt_addr[:8]} ({hold_amt})")
if drifts > 0:
cleaned = [p for p in pos if not p.get("_remove")]
for p in cleaned:
p.pop("_remove", None)
save_positions(cleaned)
log("AUDIT", f"Fixed {drifts} drift(s), {len(cleaned)} active position(s)")
except Exception as e:
log("WARN", f"Wallet audit failed: {e}")
finally:
_audit_busy = False
# ── HTTP Server ─────────────────────────────────────────────────────────
class DashHandler(BaseHTTPRequestHandler):
def log_message(self, fmt, *args):
pass # suppress access logs
def _cors(self):
self.send_header("Access-Control-Allow-Origin", "*")
self.send_header("Access-Control-Allow-Methods", "GET, POST, OPTIONS")
self.send_header("Access-Control-Allow-Headers", "Content-Type")
def _json(self, data, status=200):
body = json.dumps(data, ensure_ascii=False).encode("utf-8")
self.send_response(status)
self.send_header("Content-Type", "application/json")
self._cors()
self.end_headers()
self.wfile.write(body)
def do_OPTIONS(self):
self.send_response(204)
self._cors()
self.end_headers()
def do_GET(self):
path = self.path.split("?")[0]
if path == "/" or path == "/index.html":
html_path = PROJECT_DIR / "dashboard.html"
if html_path.exists():
self.send_response(200)
self.send_header("Content-Type", "text/html; charset=utf-8")
self.end_headers()
self.wfile.write(html_path.read_bytes())
else:
self.send_response(404)
self.end_headers()
self.wfile.write(b"dashboard.html not found")
return
if path == "/api/state":
s = engine_state()
if s["mode"] == "live":
try:
s["wallet"] = wallet_addr()
s["solBalance"] = sol_balance()
except Exception:
pass
s["positions"] = load_positions()
s["trades"] = load_trades()
s["logs"] = get_logs(50)
s["roster"] = get_roster()
self._json(s)
return
if path == "/health":
self._json({"ok": True})
return
self.send_response(404)
self.end_headers()
def do_POST(self):
path = self.path.split("?")[0]
body = {}
cl = int(self.headers.get("Content-Length", 0))
if cl > 0:
try:
body = json.loads(self.rfile.read(cl))
except Exception:
pass
if path == "/api/start":
self._json(engine_start())
return
if path == "/api/stop":
self._json(engine_stop())
return
if path == "/api/mode":
mode = body.get("mode")
if mode not in ("paper", "live"):
self._json({"ok": False, "msg": 'mode must be "paper" or "live"'})
return
if _running:
self._json({"ok": False, "msg": "Stop engine before switching mode"})
return
if mode == "live":
try:
wallet_addr()
except Exception as e:
self._json({"ok": False, "msg": f"Live mode requires onchainos wallet login: {e}"})
return
C.MODE = mode
self._json({"ok": True, "msg": f"Mode switched to {mode}"})
return
if path == "/api/reset":
if _running:
self._json({"ok": False, "msg": "Stop engine before reset"})
return
mode = C.MODE
state_write(f"{mode}/positions.json", [])
state_write(f"{mode}/trades.json", [])
state_write(f"{mode}/daily-stats.json", {})
state_write(f"{mode}/signals-log.json", [])
label = "Paper" if mode == "paper" else "Live"
self._json({"ok": True, "msg": f"{label} data cleared"})
return
self.send_response(404)
self.end_headers()
# ── Main ────────────────────────────────────────────────────────────────
def main():
print("=" * 60)
print(" Top Rank Tokens Sniper v1.0")
print(f" Mode: {C.MODE}")
print(f" Budget: {C.TOTAL_BUDGET} SOL | Per Trade: {C.BUY_AMOUNT} SOL")
print(f" Max Positions: {C.MAX_POSITIONS}")
print(f" Dashboard: http://localhost:{C.DASHBOARD_PORT}")
print("=" * 60)
_check_onchainos()
_ensure_dir(STATE_DIR / "paper")
_ensure_dir(STATE_DIR / "live")
server = HTTPServer(("127.0.0.1", C.DASHBOARD_PORT), DashHandler)
print(f"\n Dashboard ready: http://localhost:{C.DASHBOARD_PORT}\n")
try:
server.serve_forever()
except KeyboardInterrupt:
print("\n Shutting down...")
if _running:
engine_stop()
server.server_close()
print(" Done.")
if __name__ == "__main__":
main()
Overview
Top Rank Tokens Sniper is a Solana ranking-leaderboard sniper that scans the OKX 1-hour gainers Top 20 every 10 seconds, snipes tokens on their first leaderboard appearance after 25 safety checks, and auto-exits when a token drops out of the Top 20.
Core operations:
- Scan OKX 1-hour gainers Top 20 leaderboard every 10 seconds for new entries
- Score candidates with a 0–125 momentum score (buy ratio, price change, active traders, liquidity)
- Run 25 pre-trade checks: 13 Slot Guard + 9 Advanced Safety + 3 Holder Risk checks
- Manage exits via 6-layer system: rank-out (auto-sell when token leaves Top 20), stop loss, trailing stop, tiered TP, time stop, emergency exit
- Monitor all positions and leaderboard activity on a live web dashboard
Tags: sniper leaderboard solana meme-coin onchainos momentum
Prerequisites
- No IP/region restrictions
- Supported chain: Solana
- Supported tokens: OKX 1-hour gainers Top 20 leaderboard tokens on Solana
- 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 top-rank-tokens-sniper 2. Configure risk: Edit config.py to pick Conservative / Default / Aggressive and tune BUY_AMOUNT, TOTAL_BUDGET, MAX_POSITIONS, TP_TIERS, STOP_LOSS_PCT, TRAILING_ACTIVATE, MAX_HOLD_HOURS 3. Start in paper mode (default, MODE = "paper"): Run python3 ranking_sniper.py 4. Open dashboard: Visit http://localhost:3244 to monitor the leaderboard, positions, and momentum scores 5. Go live: Set PAUSED = False to allow new positions, then MODE = "live" to use real funds — re-confirm budget and per-trade size before switching 6. Stop anytime: pkill -f ranking_sniper.py