Trading Platform Toolkit Overview: Unusual Options Flow, Technical Analysis, Analyst Sentiment, and Cross-Referencing Capabilities

Here's my toolkit, mapped to the way you trade:

Unusual Options Flow

• Trade-level sweeps & blocks — individual prints with premium, size, side, conviction, sweep vs block, moneyness, volume-vs-OI (fresh positioning vs closing)
• Strike & expiration walls — where the premium concentrates for a single ticker (like the $HIMS $35C Jan-27 wall, or $FCX's $62.5P/$80C level map)
• Money flow by sector / industry / ETF — bullish vs bearish premium splits, heatmaps
• Money flow time series — day-over-day trend, the 8-cell conviction matrix (sweep/block × call/put × bought/sold), strongSweepNet, repeat share — the decomposition work we did on $CIFR

Technical Analysis

• Daily & weekly candlesticks — 30 periods of OHLC plus pre-computed RSI, MACD, ATR, EMA/SMA stacks, Bollinger, Keltner, Ichimoku — with full chart rendering
• Platform screens — TTM Squeeze list, Super-Setup tickers, Ichimoku breakout scans (like today's 43-name squeeze board)

Analyst Sentiment

• Consensus summaries — direction, counts, top signals ranked by strength
• Individual ratings — recent updates with price targets, % changes, analyst attribution, filterable by timeframe, sector, industry

Reference Data

• Ticker fundamentals — market cap, beta, shares outstanding, PE, sector/industry
• Platform focus watchlist — whether a name is under surveillance with latest OHLC

The Real Value: Cross-Referencing

The interesting answers come from stacking these — like this session: squeeze ∩ super-setup ∩ bullish flow → $SAP and $FCX; or $HIMS flow decomposition where the bearish headline hid bullish conviction blocks; or the $CIFR trap verdict where flow failed to beat the trend.

Standard workflow: name a ticker or a screen → I pull the data → you get structured tables, charts where they earn their place, and a clear verdict with defined triggers and invalidation levels — never "it depends" hand-waving.

What do you want to dig into?