Pumpushka Bot

Updated: 9/4/2025

Data for Analysis

Pumpushka Bot combines market, derivatives, on-chain, and news data.
This allows signals to be generated based on dozens of factors at once.

1. Candlestick Data (Klines)

  • Historical OHLCV for trend analysis.
  • Support and resistance detection.
  • Analysis of abnormal candles, gaps, imbalance zones.

2. BookTicker Data

  • Current bid/ask quotes.
  • Imbalance between buyers and sellers.
  • Short-term market pressure estimation.

3. Trade Tape (Trades)

  • Aggressor buys/sells (delta).
  • Volume spikes, tick speed.
  • Initiative trades and clusters (in development).

4. Order Book Depth

  • Liquidity distribution across levels.
  • Bid/ask imbalance at different depths.
  • Spoofing and iceberg order detection.

5. Derivatives

  • Open Interest (OI) and OI changes.
  • Funding rate and countdown.
  • Basis (spot vs futures spread) (in development).
  • Liquidations and liquidation clusters (in development).

6. Volatility & Market Regime

  • ATR (Average True Range).
  • Realized and implied volatility.
  • Market regimes: trend / range / high volatility.

7. Correlations & Dominance

  • Correlation with BTC and ETH (ETH in development).
  • BTC Dominance — Bitcoin’s share of the crypto market.
  • Sector-based correlations (DeFi, L2, meme tokens) (in development).
  • Cross-market links (DXY, Gold, S&P500) (in development).

8. Market Structure & Levels

  • Swing highs/lows (HH/HL/LH/LL).
  • Equal highs/lows (EQH/EQL).
  • Fair Value Gaps (FVG).
  • Liquidity pools and invalidation zones (in development).

9. Higher Timeframes

  • Previous day/week/month (High/Low).
  • VWAP and Anchored VWAP.
  • Pivot levels, Fibonacci (in development).
  • Volume Profile (POC, VAH, VAL) (in development).

10. Exchange Flows

  • Asset inflows/outflows on CEX.
  • Net flows.
  • Large player behavior.

11. On-Chain Signals

  • Whale transactions.
  • Exchange and fund address labels.
  • Mints and burns.
  • Smart address activity (in development).
  • Holder concentration (in development).

12. News & Sentiment

  • Global macro events.
  • Crypto-related news and social mentions.
  • Fear & Greed Index.
  • Altcoin Season Index.
  • High-impact events (ETF, SEC, forks).

13. Liquidity & Execution Quality

  • Bid/ask spread.
  • Slippage simulation at different sizes.
  • Depth of available liquidity.
  • Execution latency.

14. Risk Flags

  • Abnormal candles or volumes.
  • Post-news “dust moves”.
  • Conflicting indicators.
  • High-impact warnings.

15. Update Frequency

  • Refresh intervals (klines, order book, funding, news).
  • Spike filtering and timezone normalization (in development).

16. Output Metrics

  • Signal direction (long / short / none).
  • Factor evaluation (Rationale Score).
  • Trade success probability.
  • Recommended TP/SL with RRR.
  • Scenarios (base / bull / bear).
  • Invalidation zones.

Additional: How a Signal Is Formed

Entry Modes

  • Market Execution — instant entry at market price (fast but with spread/noise risk).
  • Limit Entry — waits for a better price (better RR but may miss the trade).
  • Auto Mode — hybrid, chooses between market and limit dynamically.

Risk/Reward

  • Each trade is evaluated by the risk-to-reward ratio (RRR, e.g. 1:2).
  • Minimum distance to TP/SL is enforced to avoid unrealistically close levels.

Rationale Score

  • Metric showing how many factors confirm the entry.
  • Over 50 factors are evaluated in total.
  • N in Rationale Score = number of currently active factors.

Signal Legend

  • LONG — buy signal (price expected to rise).
  • SHORT — sell signal (price expected to fall).
  • NONE — no valid signal (conditions not confirmed).
  • Potential result — simulated PnL at a given leverage.