Crypto Trading Bot Glossary
Definitions of key terms used across BotVersusBot articles. If you're new, start with Start Here.
Key Takeaways
- 28 terms covering trading strategies, risk management, validation, and bot operations
- Each definition links to the BVB article where the concept is used in practice
- Terms are specific to algorithmic crypto trading — not generic finance definitions
B
- Backtest
- Running a trading strategy against historical price data to evaluate how it would have performed. Backtests are necessary but not sufficient — a strategy that looks great on historical data may fail live. CoinClaw requires backtests to pass Monte Carlo simulation before advancing to paper trading.
See: Five Experiments, One Winner
C
- Capital Allocation
- How a bot distributes its available funds across positions. Fixed allocation assigns equal capital per grid level. Dynamic allocation adjusts based on market conditions and available balance. V3.8 switched from fixed to dynamic allocation to avoid over-committing capital.
See: V3.8 Dynamic Capital Allocation - CCXT
- An open-source library providing a unified API for interacting with cryptocurrency exchanges. CoinClaw uses CCXT to connect to Binance. When CCXT has bugs or breaking changes, live bots can fail — as happened with V3.8's recovery incident.
See: Live Bot Recovery — V3.8 CCXT Fix - Circuit Breaker
- A safety mechanism that halts bot trading when predefined risk thresholds are breached — such as maximum drawdown, consecutive losses, or abnormal market conditions. Prevents a malfunctioning or losing bot from draining capital.
See: Three Gates — Bot Validation Framework
D
- DCA (Dollar Cost Averaging)
- A strategy that buys a fixed dollar amount at regular intervals regardless of price, reducing the impact of short-term volatility. Some grid bots incorporate DCA elements by buying more at lower grid levels.
See: How Grid Trading Bots Work
F
- Fear & Greed Index
- A composite sentiment indicator scored 0–100 that measures crypto market emotion. Values below 25 indicate extreme fear; above 75 indicate extreme greed. V3.6 uses this index as a trading gate — it only opens positions when fear is high enough to suggest a buying opportunity.
See: Market Mood Shift — V3.8 Regime Flip at Extreme Fear
G
- Grid Bot
- An automated trading bot that executes a grid trading strategy. CoinClaw's V3.5, V3.7, and V3.8 are all grid bot variants with different configurations and risk parameters.
See: How Grid Trading Bots Work — V3.5, V3.7, V3.8 - Grid Level
- A specific price point in a grid where a buy or sell order is placed. A grid with 20 levels between $60K and $80K BTC would have orders every $1,000.
See: How Grid Trading Bots Work - Grid Spacing
- The price distance between adjacent buy and sell orders in a grid. Tighter spacing means more trades but smaller profit per trade. Wider spacing means fewer trades but larger profit per trade. The 6th experiment tested whether tighter spacing (1h timeframe) improved results — it didn't.
See: 6th Experiment — More Trades Didn't Help - Grid Trading
- A strategy that places buy and sell orders at fixed price intervals around a center price, profiting from price oscillation within the range. Works best in ranging markets. Loses money when price trends strongly in one direction and exits the grid range.
See: How Grid Trading Bots Work
K
- Kill Switch
- An emergency stop that immediately cancels all open orders and halts a bot. Used when something goes critically wrong — a bug, an exchange outage, or unexpected market behavior. Different from a circuit breaker, which triggers automatically; a kill switch is typically manual.
See: Live Bot Recovery — V3.8 CCXT Fix
M
- Max Drawdown
- The largest peak-to-trough decline in a bot's equity, measuring the worst-case loss experienced during a period. A bot with 10% max drawdown lost at most 10% from its highest point before recovering.
See: Scoreboard — April 6, 2026 - Mean Reversion
- A strategy based on the assumption that price will return to its average after deviating. Grid trading is a form of mean reversion — it buys when price drops below the mean and sells when it rises above. Fails in trending markets where price keeps moving away from the mean.
See: Strategy Research Roundup - Monte Carlo Simulation
- A statistical method that randomizes trade order and timing thousands of times to test whether a strategy's edge is robust or the result of lucky sequencing. Gate 1 of CoinClaw's validation framework. A strategy must show consistent profitability across randomized scenarios.
See: Three Gates — Bot Validation Framework
P
- Paper Trading
- Simulated trading using real market data but no real capital. The bot executes the same logic it would use live, but orders are filled virtually. Gate 3 of CoinClaw's validation requires a paper trading period before real money deployment.
See: Three Gates — Bot Validation Framework - P&L (Profit and Loss)
- The net financial result of a bot's trades over a given period — realized gains minus realized losses. BVB scoreboards report daily and cumulative P&L for every bot in the competition.
See: Scoreboard
R
- Ranging Market
- A market condition where price moves sideways within a defined range without a clear trend. Grid bots thrive in ranging markets because price repeatedly crosses grid levels, generating trades. V3.8's regime filter detects when the market shifts from trending to ranging.
See: BTC Trend Down 97% — Trend Following in a Ranging Market - Regime Filter
- A mechanism that detects the current market regime — bull, bear, or range — and adjusts bot behavior accordingly. V3.8 uses a regime filter to switch between aggressive and conservative grid configurations. When the filter detects extreme fear, it may widen grids or reduce position sizes.
See: Market Mood Shift — V3.8 Regime Flip
S
- Scalper
- A bot or strategy that makes many small, fast trades to capture tiny price movements. V3.7 is CoinClaw's scalper bot — it targets small per-trade profits but executes frequently. Scalping requires low fees and tight spreads to be profitable.
See: Market Mood Shift — V3.7 Scalper Grinding - A measure of risk-adjusted return — how much excess return a strategy generates per unit of volatility. A Sharpe ratio above 1.0 is generally considered acceptable; above 2.0 is strong. Used in CoinClaw's validation gates to assess strategy quality.
See: Three Gates — Bot Validation Framework - Slippage
- The difference between the expected price of a trade and the actual execution price. Caused by market movement between order placement and execution, or by low liquidity. Limit orders reduce slippage compared to market orders.
See: First 30 Hours — 3 Live Bots Performance Deep Dive - Spot Market
- A market where assets are bought and sold for immediate delivery, as opposed to futures or derivatives. All CoinClaw bots trade on Binance spot markets — no leverage, no margin, no futures.
See: What Is BotVersusBot? - Stale Price
- A cached or outdated price that no longer reflects the current market. V3.6 once traded on an $80K BTC price that was hours old — the "ghost price" bug. Stale prices can cause bots to place orders at completely wrong levels.
See: V3.6 Ghost Price — The $80K Stale Price Bug - Stop-Loss
- An order that automatically sells a position when price drops to a specified level, limiting downside risk. Grid bots may use stop-losses at the bottom of their grid range to prevent unlimited losses if price crashes through the grid.
See: How Grid Trading Bots Work - Strategy Validation
- The process of testing whether a trading strategy has a genuine statistical edge before risking real money. CoinClaw uses a three-gate framework: Monte Carlo simulation, walk-forward efficiency, and live paper trading.
See: Three Gates — Bot Validation Framework
T
- Trend Following
- A strategy that trades in the direction of the prevailing price trend — buying in uptrends, selling (or staying flat) in downtrends. The BTC Trend bot uses this approach. Trend following struggles in ranging markets where there is no clear direction.
See: BTC Trend Down 97% — Trend Following in a Ranging Market
V
- Validation Gate
- One of three checkpoints a CoinClaw bot must pass before trading real money. Gate 1: Monte Carlo simulation (statistical edge). Gate 2: walk-forward efficiency (no overfitting). Gate 3: regime robustness via paper trading. Most bots fail — V3.5 famously failed validation but was already profitable with real money.
See: The V3.5 Paradox — Failed Validation, Up 559%
W
- Walk-Forward Efficiency
- A metric comparing out-of-sample performance to in-sample performance during backtesting. If a strategy scores 90% in-sample but only 30% out-of-sample, it's likely overfit. Gate 2 of CoinClaw's validation framework. A walk-forward efficiency above 0.5 is the typical threshold.
See: Three Gates — Bot Validation Framework - Win Rate
- The percentage of trades that are profitable. A high win rate doesn't guarantee profitability — if winning trades average $1 but losing trades average $10, a 90% win rate still loses money. BVB scoreboards track win rate alongside P&L for a complete picture.
See: Scoreboard
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