Developer Porn Dashboard Collection - Beautiful, colorful examples showing how to use every endpoint of the Moon Dev API.
Each file in this folder is a standalone Python script that demonstrates one section of the API with a gorgeous terminal dashboard output. Run any script to see live data beautifully formatted.
| File | API Section | What You'll See |
|---|---|---|
01_liquidations.py |
Hyperliquid Liqs | Real-time liquidation heatmaps, top liqs, long/short breakdowns |
02_positions.py |
Large Positions | Whale positions - crypto & HIP-3 SEPARATE! Per-symbol support (182 symbols!) |
03_whales.py |
Whale Activity | Whale addresses, recent trades, smart money moves |
04_events.py |
Blockchain Events | Live event stream, transfers, swaps, deposits |
05_contracts.py |
Contract Registry | High-value contracts, activity tracking |
06_ticks.py |
Tick Data | Live prices, historical charts, volatility |
07_orderflow.py |
Order Flow | Buy/sell pressure, cumulative delta, imbalance |
08_trades.py |
Recent Trades | Trade stream, large trades, volume analysis |
09_smart_money.py |
Smart Money | Top performers, PnL rankings, trading signals |
10_user_positions.py |
User Positions | Get all positions for any Hyperliquid wallet |
11_user_fills.py |
Trade History | Historical fills, PnL analysis, win/loss streaks |
12_hlp_positions.py |
HLP Dashboard | All 7 HLP strategies, trades, liquidators, deltas |
13_binance_liquidations.py |
Binance Liqs | Binance Futures liquidations, stats, top events |
14_multi_liquidations.py |
Multi-Exchange | Combined liqs from Hyperliquid, Binance, Bybit, OKX |
15_buyers.py |
Buyer Watcher | $5k+ buyers on HYPE/SOL/XRP/ETH (buyers only!) |
16_depositors.py |
Depositors | All Hyperliquid depositors - every address that bridged |
17_hlp_sentiment.py |
HLP Sentiment | THE BIG ONE! Z-scores and retail positioning signals |
18_hlp_analytics.py |
HLP Analytics | Liquidator status, market maker, timing, correlation |
19_market_data.py |
Market Data | All prices, orderbooks, account state - NO RATE LIMITS |
20_hip3_liquidations.py |
HIP3 Liqs | Stocks, Commodities, Indices & FX liquidations |
21_hip3_market_data.py |
HIP3 Data | OHLCV candles & tick data for 33 TradFi assets |
24_position_snapshots.py |
Position Snapshots | Positions near liquidation - squeeze signals |
25_ai_chat.py |
AI Chat | OpenAI-compatible AI API - drop-in replacement |
26_hip3_funding.py |
HIP3 Funding | NEW! Funding rates for stocks, commodities, ETFs across dexes |
# Make sure you have the required packages
pip install requests rich python-dotenvCreate a .env file in the project root (or api_examples folder):
# Option A: Create .env file manually
echo "MOONDEV_API_KEY=your_key_here" > .env
# Option B: Or edit .env directly
nano .env
# Add: MOONDEV_API_KEY=your_api_key_from_moondev_com# From the project root directory:
python api_examples/01_liquidations.py
python api_examples/07_orderflow.py
python api_examples/09_smart_money.py
python api_examples/11_user_fills.py
python api_examples/12_hlp_positions.py
# Or run the main API test suite:
python api.pyhttps://api.moondev.com
Every request (except /health) requires an API key:
# Method 1: Header (RECOMMENDED)
headers = {'X-API-Key': 'YOUR_API_KEY'}
response = requests.get('https://api.moondev.com/api/trades.json', headers=headers)
# Method 2: Query parameter
response = requests.get('https://api.moondev.com/api/trades.json?api_key=YOUR_API_KEY')- 3,600 requests per minute (60 req/sec)
- Data updates every 30 seconds
- 60-day data retention
| Endpoint | Description |
|---|---|
GET /health |
Service health check (no auth required) |
GET /api/liquidations/{timeframe}.json |
Hyperliquid liquidation data (10m, 1h, 4h, 12h, 24h, 2d, 7d, 14d, 30d) |
GET /api/liquidations/stats.json |
Aggregated Hyperliquid liquidation statistics |
GET /api/positions.json |
Top 50 longs/shorts across ALL symbols - crypto + HIP-3 combined (updates every 1s) |
GET /api/positions/all.json |
All 182 symbols with top 50 positions each - crypto + HIP-3 combined (updates every 60s) |
GET /api/whales.json |
Recent whale trades ($25k+, buys & sells) |
GET /api/buyers.json |
Recent buyers only ($5k+, HYPE/SOL/XRP/ETH) |
GET /api/depositors.json |
All Hyperliquid depositors (canonical address list) |
GET /api/whale_addresses.txt |
Plain text whale address list |
GET /api/events.json |
Real-time blockchain events |
GET /api/contracts.json |
Contract registry with metadata |
Combines Hyperliquid, Binance, Bybit, OKX with Live + Archive architecture.
Live Endpoints (30-second updates):
| Endpoint | Description |
|---|---|
GET /api/all_liquidations/10m.json |
Last 10 minutes |
GET /api/all_liquidations/1h.json |
Last 1 hour |
GET /api/all_liquidations/4h.json |
Last 4 hours |
GET /api/all_liquidations/12h.json |
Last 12 hours |
GET /api/all_liquidations/24h.json |
Last 24 hours |
GET /api/all_liquidations/2d.json |
Last 2 days |
GET /api/all_liquidations/5d.json |
Last 5 days |
GET /api/all_liquidations/stats.json |
Summary statistics |
Archive Endpoints (15-minute updates):
| Endpoint | Description |
|---|---|
GET /api/all_liquidations/7d.json |
Last 7 days |
GET /api/all_liquidations/14d.json |
Last 14 days |
GET /api/all_liquidations/30d.json |
Last 30 days |
Per-Exchange Endpoints:
| Endpoint | Description |
|---|---|
GET /api/binance_liquidations/{timeframe}.json |
Binance Futures liquidations |
GET /api/bybit_liquidations/{timeframe}.json |
Bybit liquidations |
GET /api/okx_liquidations/{timeframe}.json |
OKX liquidations |
Timeframes: 10m, 1h, 4h, 12h, 24h, 2d, 5d (live) | 7d, 14d, 30d (archive)
| Endpoint | Description |
|---|---|
GET /api/hip3_liquidations/{timeframe}.json |
HIP3 liquidations (traditional finance assets) |
GET /api/hip3_liquidations/stats.json |
HIP3 liquidation statistics with category breakdown |
Timeframes: 10m, 1h, 24h, 7d
Categories tracked:
- Stocks: TSLA, NVDA, AAPL, META, MSFT, GOOGL, AMZN, AMD, INTC, PLTR, COIN, HOOD, MSTR, ORCL, MU, NFLX, RIVN, BABA (~$100M+ OI)
- Commodities: GOLD, SILVER, COPPER, CL (Oil), NATGAS, URANIUM (~$125M OI)
- Indices: XYZ100 (Nasdaq proxy, ~$120M OI)
- FX: EUR, JPY (~$3M OI)
| Endpoint | Description |
|---|---|
GET /api/hip3/meta |
All 51 symbols from all 4 dexes with current prices |
GET /api/hip3_ticks/stats.json |
Tick collector stats with dex breakdown |
GET /api/hip3_ticks/{dex}_{ticker}.json |
Individual tick data (e.g., xyz_tsla.json, hyna_btc.json) |
Symbol Format: {dex}:{ticker} (e.g., xyz:TSLA, hyna:BTC, km:US500)
4 Dexes tracked (51 symbols):
- xyz (27): Stocks, commodities, FX, indices (TSLA, NVDA, GOLD, SILVER, EUR, JPY, XYZ100)
- flx (7): Stocks, commodities, XMR (XMR, GOLD, SILVER, OIL)
- hyna (12): Crypto (BTC, ETH, HYPE, SOL, FARTCOIN, PUMP)
- km (5): US indices (US500, USTECH, SMALL2000)
Categories: Stocks (22) | Indices (4) | Commodities (4) | FX (2) | Crypto (12)
Live tick collection for the top 10 HIP3 symbols by 24h volume across xyz, cash, and flx dexes. Volume ranking refreshes every 5 minutes. 30-day data retention. Candles are computed server-side from stored ticks.
| Endpoint | Description |
|---|---|
GET /api/hip3/candles/symbols |
List all currently tracked HIP3 symbols with categories |
GET /api/hip3/ticks/{coin} |
Raw tick data for a HIP3 symbol |
GET /api/hip3/candles/{coin} |
OHLCV candles computed from ticks |
GET /api/hip3/price/{coin} |
Latest price for a single HIP3 symbol |
GET /api/hip3/prices |
All latest prices for all tracked HIP3 symbols |
Symbol Lookup — three formats work:
# Bare ticker (auto-resolves to correct dex)
/api/hip3/ticks/CL?duration=1h
/api/hip3/candles/SILVER?interval=5m
/api/hip3/price/NVDA
# Full dex:ticker format
/api/hip3/ticks/xyz:CL?duration=1h
/api/hip3/candles/cash:USA500?interval=1h
# Non-xyz dex
/api/hip3/ticks/cash:USA500?duration=1hTick Parameters:
| Param | Default | Description |
|---|---|---|
duration |
1h |
Time window: 10m, 1h, 4h, 24h, 7d |
Candle Parameters:
| Param | Default | Description |
|---|---|---|
interval |
5m |
Candle size: 1m, 5m, 15m, 1h, 4h, 1d |
startTime |
auto | Start timestamp (Unix ms) |
endTime |
now | End timestamp (Unix ms) |
Tick Response:
{
"symbol": "cash:USA500",
"category": "indices",
"market_type": "HIP3",
"duration": "1h",
"tick_count": 1842,
"latest_price": 6780.20,
"ticks": [
{"t": 1741611600500, "p": 6779.97, "dt": "2026-03-10T13:12:33+00:00"}
]
}Candle Response:
{
"t": 1741611600000, "T": 1741611899999,
"s": "SILVER", "i": "5m",
"o": "89.28", "h": "89.30", "l": "89.25", "c": "89.28",
"v": "0", "n": 42
}All Prices Response:
{
"generated_at": "2026-03-10T13:05:15+00:00",
"market_type": "HIP3",
"mode": "top_10_by_volume",
"dexes": ["xyz", "cash", "flx"],
"prices": {
"cash:USA500": {"dex": "cash", "ticker": "USA500", "price": 6780.60, "category": "indices"},
"cash:NVDA": {"dex": "cash", "ticker": "NVDA", "price": 182.02, "category": "stocks"}
}
}Key notes:
- Top 10 by volume — symbol list refreshes every 5 min based on 24h notional volume
- 30-day retention — historical data goes back up to 30 days
- Multi-dex — symbols span xyz, cash, and flx dexes
- ~500ms tick resolution — polling interval for tick collection
- Candles are server-computed — built from stored tick data, not proxied from Hyperliquid
| Endpoint | Description |
|---|---|
GET /api/ticks/stats.json |
Collection stats and summary |
GET /api/ticks/latest.json |
Current prices for all symbols |
GET /api/ticks/{symbol}_{timeframe}.json |
Historical ticks |
Symbols: btc, eth, hype, sol, xrp Timeframes: 10m, 1h, 4h, 24h, 7d
| Endpoint | Description |
|---|---|
GET /api/trades.json |
Recent 500 trades (real-time) |
GET /api/large_trades.json |
Large trades >$100k (24h) |
GET /api/orderflow.json |
Order flow imbalance by timeframe + per coin |
GET /api/orderflow/stats.json |
Service stats (uptime, trades/sec) |
GET /api/imbalance/{timeframe}.json |
Buy/sell imbalance (5m, 15m, 1h, 4h, 24h) |
| Endpoint | Description |
|---|---|
GET /api/smart_money/rankings.json |
Top 100 smart + Bottom 100 dumb money |
GET /api/smart_money/leaderboard.json |
Top 50 performers with details |
GET /api/smart_money/signals_{timeframe}.json |
Trading signals (10m, 1h, 24h) |
| Endpoint | Description |
|---|---|
GET /api/user/{address}/positions |
Current positions for any wallet |
GET /api/user/{address}/fills?limit=N |
Historical fills (default: 100, max: 2000, -1 for ALL) |
| Endpoint | Description |
|---|---|
GET /api/hlp/positions |
All 7 HLP strategy positions + combined net exposure |
GET /api/hlp/positions?include_strategies=false |
Summary only (faster response) |
GET /api/hlp/trades?limit=N |
Historical HLP trade fills (5,000+ collected) |
GET /api/hlp/trades/stats |
Trade volume/fee statistics |
GET /api/hlp/positions/history?hours=N |
Position snapshots over time |
GET /api/hlp/liquidators |
Liquidator activation events |
GET /api/hlp/deltas?hours=N |
Net exposure changes over time |
GET /api/hlp/sentiment |
THE BIG ONE! Z-scores and retail positioning signals |
GET /api/hlp/liquidators/status |
Real-time liquidator status (active/idle + PnL) |
GET /api/hlp/market-maker |
Strategy B tracker for BTC/ETH/SOL |
GET /api/hlp/timing |
Hourly/session profitability analysis |
GET /api/hlp/correlation |
Delta-price correlation by coin |
GET /api/hlp/funding/hip3 |
HIP3 funding rates (stocks, commodities, ETFs) |
OpenAI-compatible drop-in replacement. No need for OpenAI or Anthropic API keys!
Base URL: https://api.moondev.com/api/ai
| Endpoint | Description |
|---|---|
POST /api/ai/v1/chat/completions |
OpenAI-compatible chat completions |
POST /api/ai/chat |
Simple chat endpoint |
GET /api/ai/health |
Health check |
OpenAI SDK Drop-in (just change base_url!):
from openai import OpenAI
client = OpenAI(
base_url="https://api.moondev.com/api/ai/v1",
api_key="YOUR_MOONDEV_API_KEY"
)
response = client.chat.completions.create(
model="moondev-ai",
messages=[{"role": "user", "content": "What is Hyperliquid?"}],
max_tokens=500
)
print(response.choices[0].message.content)cURL:
curl -X POST "https://api.moondev.com/api/ai/v1/chat/completions" \
-H "Content-Type: application/json" \
-H "X-API-Key: YOUR_MOONDEV_API_KEY" \
-d '{"messages":[{"role":"user","content":"Who is Moon Dev?"}],"max_tokens":500}'Full docs: https://moondev.com/docs
Track positions within 15% of liquidation on HyperLiquid. Updated every 1 minute.
| Endpoint | Description |
|---|---|
GET /api/position_snapshots/symbol/{symbol} |
Historical snapshots for BTC, ETH, SOL, XRP, HYPE |
GET /api/position_snapshots/stats |
Aggregate statistics for all tracked symbols |
Snapshot Parameters:
| Param | Default | Description |
|---|---|---|
hours |
24 | Lookback period |
limit |
1000 | Max records to return |
min_distance_pct |
- | Filter by min distance to liquidation |
max_distance_pct |
- | Filter by max distance to liquidation |
side |
- | Filter by 'long' or 'short' |
Stats Response includes:
- Overall stats (total snapshots, unique users, avg distance)
- Per-symbol breakdown
- Top 10 positions closest to liquidation
- Recent scan metadata
The api.py file provides a complete Python SDK:
from api import MoonDevAPI
# Initialize (reads MOONDEV_API_KEY from .env automatically)
api = MoonDevAPI()
# Or pass key directly
api = MoonDevAPI(api_key="your_key_here")
# === HYPERLIQUID LIQUIDATIONS ===
liqs = api.get_liquidations("1h") # 10m, 1h, 4h, 12h, 24h, 2d, 7d, 14d, 30d
stats = api.get_liquidation_stats()
# === MULTI-EXCHANGE LIQUIDATIONS ===
all_stats = api.get_all_liquidation_stats() # Combined stats all exchanges
all_liqs = api.get_all_liquidations("1h") # Combined liquidations
binance_liqs = api.get_binance_liquidations("1h") # Binance only
bybit_liqs = api.get_bybit_liquidations("1h") # Bybit only
okx_liqs = api.get_okx_liquidations("1h") # OKX only
# === HIP3 LIQUIDATIONS (Stocks, Commodities, Indices, FX) ===
hip3_stats = api.get_hip3_liquidation_stats() # Stats with category breakdown
hip3_liqs = api.get_hip3_liquidations("1h") # HIP3 liquidations (10m, 1h, 24h, 7d)
hip3_24h = api.get_hip3_liquidations("24h") # 24h of HIP3 liqs
# === HIP3 MARKET DATA (Multi-Dex: 51 symbols) ===
hip3_meta = api.get_hip3_meta() # All 51 symbols from all dexes
hip3_stats = api.get_hip3_tick_stats() # Tick collector stats
tsla_ticks = api.get_hip3_ticks("xyz", "tsla") # xyz:TSLA tick data
btc_ticks = api.get_hip3_ticks("hyna", "btc") # hyna:BTC tick data
gold_ticks = api.get_hip3_ticks("xyz", "gold") # xyz:GOLD tick data
us500_ticks = api.get_hip3_ticks("km", "us500") # km:US500 tick data
# === HIP3 TICK DATA & CANDLES (Top 10 by Volume) ===
hip3_symbols = api.get_hip3_candle_symbols() # List tracked symbols
hip3_raw = api.get_hip3_raw_ticks("CL", duration="1h") # Raw ticks (bare ticker)
hip3_raw = api.get_hip3_raw_ticks("cash:USA500", duration="4h") # Raw ticks (dex:ticker)
hip3_candles = api.get_hip3_candles("SILVER", interval="5m") # OHLCV candles
hip3_candles = api.get_hip3_candles("cash:USA500", interval="1h") # Candles with dex prefix
hip3_price = api.get_hip3_price("NVDA") # Single symbol price
hip3_prices = api.get_hip3_all_prices() # All tracked prices
# === POSITIONS & WHALES ===
# Combined (crypto + HIP-3 mixed)
positions = api.get_positions() # Top 50 positions across ALL symbols (fast, 1s updates)
all_positions = api.get_all_positions() # All 182 symbols (60s updates)
# SEPARATE - Crypto only (BTC, ETH, SOL, HYPE, etc.)
crypto_pos = api.get_crypto_positions() # Crypto-only top positions
all_crypto = api.get_all_crypto_positions() # All 134 crypto symbols
btc_data = all_crypto['symbols']['BTC'] # Filter to BTC
hype_data = all_crypto['symbols']['HYPE'] # Filter to HYPE
# SEPARATE - HIP-3 only (stocks, commodities, indices, FX)
hip3_pos = api.get_hip3_positions() # HIP-3-only top positions
all_hip3 = api.get_all_hip3_positions() # All 48 HIP-3 symbols
gold_data = all_hip3['symbols']['xyz:GOLD'] # Filter to GOLD
tsla_data = all_hip3['symbols']['cash:TSLA'] # Filter to TSLA
whales = api.get_whales() # Recent whale trades ($25k+, buys & sells)
buyers = api.get_buyers() # Recent buyers only ($5k+, HYPE/SOL/XRP/ETH)
depositors = api.get_depositors() # All Hyperliquid depositors (canonical list)
whale_addrs = api.get_whale_addresses() # List of whale addresses
# === EVENTS & CONTRACTS ===
events = api.get_events() # Blockchain events
contracts = api.get_contracts() # Contract registry
# === TICK DATA ===
tick_stats = api.get_tick_stats()
latest = api.get_tick_latest() # Current prices
btc_ticks = api.get_ticks("btc", "1h") # Historical ticks
# === ORDER FLOW & TRADES ===
trades = api.get_trades() # Recent 500 trades
large = api.get_large_trades() # Trades >$100k
orderflow = api.get_orderflow()
imbalance = api.get_imbalance("1h") # 5m, 15m, 1h, 4h, 24h
# === SMART MONEY ===
rankings = api.get_smart_money_rankings()
leaderboard = api.get_smart_money_leaderboard()
signals = api.get_smart_money_signals("1h") # 10m, 1h, 24h
# === USER DATA (Local Node - FAST!) ===
positions = api.get_user_positions("0x...") # Via Hyperliquid API
positions_api = api.get_user_positions_api("0x...") # Via Moon Dev API
fills = api.get_user_fills("0x...", limit=100) # Historical fills
fills_all = api.get_user_fills("0x...", limit=-1) # ALL fills
# === HLP (HYPERLIQUIDITY PROVIDER) ===
hlp = api.get_hlp_positions() # Full details
hlp_summary = api.get_hlp_positions(include_strategies=False) # Summary only
hlp_trades = api.get_hlp_trades(limit=100) # Historical trades
hlp_trade_stats = api.get_hlp_trade_stats() # Volume/fee stats
hlp_history = api.get_hlp_position_history(hours=24) # Position snapshots
hlp_liquidators = api.get_hlp_liquidators() # Liquidator events
hlp_deltas = api.get_hlp_deltas(hours=24) # Net exposure changes
# === HLP ADVANCED ANALYTICS ===
sentiment = api.get_hlp_sentiment() # THE BIG ONE! Z-scores & signals
liq_status = api.get_hlp_liquidator_status() # Real-time liquidator status
market_maker = api.get_hlp_market_maker() # Strategy B (BTC/ETH/SOL)
timing = api.get_hlp_timing() # Hourly/session profitability
correlation = api.get_hlp_correlation() # Delta-price correlation
hip3_funding = api.get_hlp_funding_hip3() # HIP3 funding rates (stocks, commodities, ETFs)
# === POSITION SNAPSHOTS ===
btc_snaps = api.get_position_snapshots("BTC", hours=24) # BTC positions near liq
eth_risky = api.get_position_snapshots("ETH", max_distance_pct=5) # ETH <5% from liq
stats = api.get_position_snapshot_stats(hours=12) # Aggregate stats
# === AI CHAT API (NEW!) ===
# Use OpenAI SDK as drop-in replacement:
from openai import OpenAI
client = OpenAI(base_url="https://api.moondev.com/api/ai/v1", api_key="YOUR_KEY")
response = client.chat.completions.create(
model="moondev-ai",
messages=[{"role": "user", "content": "Analyze BTC sentiment"}],
max_tokens=500
)
print(response.choices[0].message.content)Track whale positions near liquidation for any of the 182 symbols on Hyperliquid (crypto + HIP-3):
# All symbols - top 50 across everything (fast, 1s updates)
python examples/02_positions.py
# CRYPTO ONLY - no HIP-3 mixed in!
python examples/02_positions.py --crypto
# HIP-3 ONLY - stocks, commodities, indices, FX
python examples/02_positions.py --hip3
# Per-symbol filtering (uses /api/positions/all.json, filters client-side)
python examples/02_positions.py BTC # BTC positions only
python examples/02_positions.py ETH # ETH positions only
python examples/02_positions.py HYPE # HYPE positions only
python examples/02_positions.py SOL # SOL positions only
# List all 182 available symbols (134 crypto + 48 HIP-3)
python examples/02_positions.py --listFeatures:
- Separate crypto vs HIP-3 - no more mixing! Use
--cryptoor--hip3flags - Position statistics (total value, long/short breakdown)
- Top 50 positions sorted by liquidation distance (highest risk first)
- Risk analysis (critical <2%, high 2-5%, medium 5-10%)
- Top 5 whale positions by value
- Per-symbol filtering for any of 182 symbols (one API call gets all data)
SDK Methods:
api.get_crypto_positions() # Crypto-only top positions
api.get_hip3_positions() # HIP-3-only top positions
api.get_all_crypto_positions() # All 134 crypto symbols
api.get_all_hip3_positions() # All 48 HIP-3 symbolsAnalyze any wallet's complete trading history:
# Default wallet, last 100 fills
python api_examples/11_user_fills.py
# Custom wallet, last 500 fills
python api_examples/11_user_fills.py 0xYOUR_ADDRESS 500
# Get ALL fills for a wallet
python api_examples/11_user_fills.py 0xYOUR_ADDRESS -1Features:
- Trade overview (volume, fees, date range)
- PnL summary with win rate
- Largest win/loss tracking
- Coin breakdown table
- Trade direction analysis (Open Long, Close Short, etc.)
- Win/loss streak analysis
- Color-coded trade history table
Monitor Hyperliquid's native market-making protocol (~$210M+ AUM, 5,000+ trades):
# Full dashboard (all sections)
python api_examples/12_hlp_positions.py
# Positions only
python api_examples/12_hlp_positions.py --positions
# Trade history only
python api_examples/12_hlp_positions.py --trades
# Quick summary only
python api_examples/12_hlp_positions.py --summaryFeatures:
- Total account value across all 7 HLP strategies
- Combined NET exposure (longs - shorts across strategies)
- Which strategies are long vs short each coin
- Individual strategy breakdowns with positions
- Visual exposure charts and sparklines
- Trade history with 5,000+ fills tracked
- Trade statistics (volume, fees, breakdown by coin/strategy)
- Liquidator monitoring (activation events)
- Net exposure delta tracking over time
- Date range: Nov 3, 2025 to present
Track what retail is actually doing by watching HLP's counter-positioning:
python examples/17_hlp_sentiment.pyFeatures:
- Z-score indicator showing how extreme current positioning is
- Signal interpretation (short squeeze potential, long squeeze potential, neutral)
- Visual z-score bar (-3σ to +3σ)
- Historical context (mean, std dev, range)
- Action suggestions based on positioning
Key Insight:
- Z-Score > +2.0 = HLP unusually LONG = Retail heavily SHORT = Buy signal
- Z-Score < -2.0 = HLP unusually SHORT = Retail heavily LONG = Sell signal
Deep analytics on HLP operations:
python examples/18_hlp_analytics.pyFeatures:
- Liquidator status (active/idle, PnL tracking)
- Strategy B market maker positions (BTC/ETH/SOL)
- Timing analysis (best/worst hours, session profitability)
- Delta-price correlation by coin
Track positions near liquidation for squeeze and cascade signals:
# Default: all symbols, last 24 hours
python examples/24_position_snapshots.py
# Specific symbol
python examples/24_position_snapshots.py BTC
# Filter to positions very close to liquidation
python examples/24_position_snapshots.py ETH --max-distance 5Features:
- Positions within 15% of liquidation price
- Minimum $10k position value filter
- Tracks BTC, ETH, SOL, XRP, HYPE
- 1-minute snapshot frequency
- Historical lookback up to 24+ hours
- Top 10 closest to liquidation
- Long/short side filtering
Use Cases:
- Identify potential liquidation cascades
- Spot short/long squeeze setups
- Monitor at-risk whale positions
- Track liquidation pressure building on specific symbols
Use Moon Dev's AI as an OpenAI drop-in replacement:
python examples/25_ai_chat.pyFeatures:
- OpenAI SDK compatible (just change base_url)
- Simple chat endpoint for quick queries
- No need for OpenAI or Anthropic API keys
- Works with any OpenAI-compatible library
Use Cases:
- Trading analysis and insights
- Market sentiment interpretation
- Strategy brainstorming
- Any AI chat needs without extra API keys
Full documentation: https://moondev.com/docs
Visit https://moondev.com to get your API key.
Make sure your .env file exists and contains:
MOONDEV_API_KEY=your_actual_key_here
- Check your API key is correct
- Ensure you're using the header or query param correctly
- You're making more than 3,600 requests/minute
- Add delays between requests or cache responses
pip install requests rich python-dotenv pandas- Issues: https://github.com/moondevonyt/trading-bots/issues
- Website: https://moondev.com
- API Status: https://api.moondev.com/health
Built with love by Moon Dev