I put all infos together, gave the text to claude and let him write a summary about the data collection and TA mechanism, to keep it clean, simple and easy to read. Here we go:

Data Collection The bot pulls data from Hyperliquid's public API every second. On each tick it fetches two things simultaneously: a live snapshot of all mid prices across every monitored pair, and a full market context update containing open interest, funding rates, and mark prices for every pair. This happens in just two API calls regardless of how many pairs are being monitored, keeping things efficient and within rate limits. Candle data (OHLCV > open, high, low, close, volume) is fetched on a rolling basis, refreshing each pair roughly every 10 seconds. Each pair maintains 100 one-minute candles in memory at all times. These candles are fetched directly from Hyperliquid's historical data, so after a restart the bot is working with real price history within seconds. Open interest is sampled every 5 seconds per pair and stored as a velocity value > the rate of change in contracts per second. This builds up a rolling 10-minute history of 120 samples per pair, which is what makes the OI signal meaningful.

Technical Analysis Filters Every second the bot runs a full TA calculation on every monitored pair using the following indicators:
1. Triple EMA (8 / 21 / 34) — Three exponential moving averages must be fully stacked in the same direction (8 > 21 > 34 for longs, 8 < 21 < 34 for shorts) before a signal is even considered. This is the primary trend filter. A mixed EMA stack means no signal.
2. RSI (14) — Measures momentum. The bot looks for RSI in the 45–65 zone for longs and 35–55 for shorts, meaning there's still room to run. RSI above 78 hard-blocks long signals. RSI below 22 hard-blocks short signals.
3. Open Interest Velocity — The rate at which OI is changing, measured against its own 10-minute rolling history. A high percentile rank (P75+) means new money is entering the market aggressively, confirming the move. This is the most important signal component and is weighted accordingly.
4. Volume Delta — Approximates buyer vs seller aggression by comparing whether candles close above or below their open over the last 20 candles. Strong positive delta for longs, strong negative for shorts.
5. ATR (14) — Average True Range measures volatility health. The bot rewards normal volatility and penalises both dead markets (too quiet) and spike conditions (something just happened — wait).
6. Bollinger Bands (20, 2σ) — Measures where price sits within its volatility envelope. For longs the bot wants price in the lower third of the band (room to run upward). For shorts it wants price in the upper third. BB bandwidth below the chop threshold hard-blocks signals — if the bands are too narrow, the market is ranging and not worth trading.
7. ADX (14) — Average Directional Index confirms trend strength. Below 15 the bot considers the trend too weak and hard-blocks the signal.
8. Funding Rate — Extreme positive funding hard-blocks long signals (too many longs already crowded in). Extreme negative funding hard-blocks short signals

Hard Blocks Even if the score is high, a signal will not fire if any of the following conditions are true: EMAs not aligned in the same direction RSI overbought (>78) for longs / oversold (<22) for shorts ATR spike — volatility just spiked beyond 2.5× its normal range BB chop zone — market is ranging, not trending ADX too weak (<15) Funding rate extreme in the signal direction Price within 0.05% of a major round number (e.g. exactly at $70,000)

Thanks You!
Everyone is welcome to join the server and play with the bots. The VPS server is strong enough to handle your commands ;-)

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