TradesViz
A sneak peek 👀 TradesViz is about to get a lot smarter... We've said this before, and it's never clearer: passive journaling is dead. A journal that just shows you graphs/stats is wasting your time. Move on. Get TradesViz. Get clarity.
TradesViz
One toxic ticker can anchor your entire portfolio. ⚓ If a massive red square is dominating your analysis screen, your risk management on that specific asset is fundamentally broken. The Trades Analysis Treemap strips away the noise of individual executions and forces you to confront the macro reality of your capital flow. Stop letting a single bad habit or a stubborn bias consume your hard-earned equity. Identify the cancer and violently cut it out. 🩸✂️
TradesViz
Hesitation at the execution button will destroy your edge. ⏱️ If you have to pause to translate stock shares into forex lots during a live setup, you’ve already missed the entry. The newly deployed Simulator UI completely eliminates interface friction. By introducing uniquely tailored order panels for Forex, Stocks, and Futures, you get a 1:1 true-to-life execution experience. Lock yourself in the lab, master the specific mechanics of your asset class, and ruthlessly execute when the bell rings. ⚡🔧
TradesViz
A strategy that looks amazing on paper will still blow up your account if the drawdown is too deep. 💥 Stop obsessing over hypothetical PnL. Our backtester calculates your exact Sharpe ratio, Max Drawdown, and annualized volatility the second you execute the simulation. Map your custom logic directly onto the charts and watch the simulated equity curve expose the structural reality of your setup. Know your exact risk before the opening bell. 📉⚖️
TradesViz
Midday screener results. $SMCI $NOK $KRMA $NVTS TradesViz's screeners are getting an update soon! ✨ Never a dull day when your trading journal can help you plan trades, find trade ideas, screen markets, and do trading analysis -- all in one place 😎
TradesViz
Tunnel vision will eventually liquidate your portfolio. 🛑 If you are executing on a 1-minute candle without actively monitoring the 1-hour macro trend, you are begging to get trapped. The TradesViz Multi-Chart Layout completely shatters single-timeframe bias. Stack up to four synchronized charts side-by-side during your post-market review. Audit your micro entries against the overarching market structure in one unified view. Stop reviewing your trades with blinders on. 🦅🔭
TradesViz
The options flow screener for May 26, 2026 showed strong two‑day accumulation across major large cap tech names. $TSLA led with a 366.67 percent increase in sweep buys, totaling 14 trades, while $NVDA followed with a 400 percent rise and 10 total sweeps, suggesting sharp buildup in bullish exposure. In the put/call premium ratio data, $TSLA showed a massive 1,126.07 percent jump to a value of 0.65, reflecting active hedging alongside aggressive buying. $SNDK recorded a 34.77 percent increase to 3.6, and $NVDA rose 23.57 percent to 0.061, indicating broad activity in both bullish and protective positioning. The chart for $TSLA displayed strong upside momentum, with prices recovering from the 380 zone to above 420, marking intraday strength driven by rising sweep premiums. Overall tone: elevated bullish participation in $TSLA and $NVDA with growing premium shifts, signaling active institutional flows and mixed short‑term hedging dynamics into late May.
TradesViz
The stock screener for May 26, 2026 highlighted strong breakout momentum and renewed technical strength in high‑growth and mid‑cap names. In the “Continuous higher highs + green for 3 days” group, $PCLA dominated with a 390.4 percent surge and a massive 1,372,870 percent volume spike, marking one of the week’s biggest moves. $CODX gained 157.4 percent, while $RGTU and $RGTX advanced 156.4 and 150.1 percent respectively with heavy inflows. $QBTX followed with a 139.3 percent rise, and $RGTIW, $NVTY, and $QPUX each saw gains above 100 percent, confirming strong short‑term momentum. $WETO and $ARMG rounded out the list with solid multi‑day uptrends. In the “Bullish Golden (50–200 SMA) Crossover” section, $JDZG led with a 67.4 percent move and 217.8 percent uptick in volume, signaling a potential continuation setup. $ALAB climbed 31.9 percent, while $SN, $LXFR, and $SSD also maintained steady uptrends. $OPBK, $COWG, $SIGI, $KPRX, and $FMCX showed smaller but consistent increases in both price and volume, indicating broad participation across sectors. Overall tone: strong, widespread breakout activity with early technical confirmations — a market marked by aggressive speculative interest and expanding volume breadth.
TradesViz
The options flow from the previous week showed strong multi‑sector activity driven by large sweeps across big‑cap tech, semiconductors, and industrial names. $ACN led with an $11M put buy sweep at the 165 strike expiring January 2027, signaling a sizable long‑term bearish position. $SMH followed with a $7.7M put buy sweep for May 2026, indicating renewed downside hedging in semiconductors. $NVDA remained highly active with multiple sweeps, including a $2.1M call sell at 222.5 and another $1.3M call buy at 270, showing balanced flows. $MSFT and $ORCL each recorded over $1.9M in call sweeps for June and December expiries, while $AMD saw repeated sweeps on both sides around the 460 strike, reflecting heavy institutional repositioning in chips. $GS, $MSTR, and $CCL also contributed notable bullish activity with $1–1.3M call buys, suggesting accumulation beyond tech. Overall tone: elevated, diversified trading with mixed sentiment across tech, energy, and industrials, emphasizing large‑value participants managing exposure ahead of late‑May catalysts.
TradesViz
Staring at a massive red month won't tell you how you blew it. 🩸 This isn't a basic PnL calendar. The comparative aggregate dashboard ruthlessly dissects your performance, mapping your wins versus losses across specific timeframes, trade durations, and volume brackets. With the integrated AI Summary actively flagging your peak loss concentrations (like that brutal 10:00 AM drop-off), you no longer have an excuse for repeating the same structural mistakes. Isolate the bad data, cut the habit, and scale what actually works. 🔪📉
