Execution intelligence
The scalping playbook starts with the mechanics of getting an order filled, not with a colourful signal. It watches order-book depth, spread, latency, queue changes and likely slippage at the intended position size. Each fill is compared with the quote available when the decision was made, producing a practical fill-accuracy record. The playbook pauses when liquidity falls below its threshold or execution speed becomes inconsistent. Position size, stop-loss distance, take-profit and maximum session drawdown are written down before the first attempt.
Adaptive strategy controls
The day-trading playbook combines momentum with confirmation. A breakout is reviewed against support and resistance, moving averages, RSI, MACD and volume profile on short and medium timeframes. The process distinguishes genuine participation from a move through thin liquidity. Risk size adapts when volatility or correlations increase, and open positions are considered together rather than as unrelated ideas. A defined invalidation level and take-profit sequence keep the plan reviewable after the market closes.
Macro and on-chain context
The swing playbook asks whether a price trend has a durable environment behind it. Macro integration brings in yields, DXY, VIX and traditional-market correlations, while on-chain analytics adds exchange flow, whale tracking and funding rate. Fibonacci areas organise phased entries but do not justify them alone. Exposure grows only when successive evidence supports the thesis. The workbook records custody, weekend and gap risks, expected holding time and the conditions that require the idea to be reduced or closed.
AI analysis streams
The news channel reads 35+ languages, groups repeated coverage and filters promotional noise. It separates the first reliable report from later reactions and preserves source confidence, allowing the user to understand why a sentiment shift entered the brief. The pattern channel assesses 195+ formations with neural recognition, multi-timeframe agreement and volume profile. Backtesting includes fees, slippage and out-of-sample periods so a familiar shape is treated as evidence to examine, not a promise.