@stsdigital_io Awarded Best Derivatives Trading Solution at TradingTech Insight Awards globenewswire.com/news-relea…

🏆 Big news! Bloomberg has won two awards at the A-Team TradingTech Insight Awards USA 2026: 🥇 Best Overall Market Data Provider - 8th year in a row 🥇 Best Machine-Readable News Supplier - second time this year bbg Read more: bloom.bg/4uCvb5U

smartTrade Technologies Wins Best Solution For Foreign Exchange Trading At TradingTech Insight Awards USA 2026 dlvr.it/TT1BT5

Trading Technologies Wins Best Sell-Side OMS At TradingTech Insight Awards USA 2026 dlvr.it/TT104x

Eventus Wins Best Trade Surveillance Solution At TradingTech Insight Awards USA 2026 dlvr.it/TT0zrV

VeriTrade™ from Vermiculus wins “Best Matching Engine For Exchanges And Electronic Trading Venues” At TradingTech Insight Awards USA 2026 - Powering 24/7 Markets Across All Asset Classes And Trading Models dlvr.it/TT0pgr

STS Digital Awarded Best Derivatives Trading Solution at TradingTech Insight Awards ift.tt/f6QgGeC

VeriTrade™ from Vermiculus wins “Best Matching Engine for Exchanges and Electronic Trading Venues” at TradingTech Insight Awards USA 2026 dlvr.it/TT0jgz

Simplify. Scale. Succeed. Strong brokerage infrastructure means better client management, real automation, and sustainable growth – not just more tools. FxTrusts delivers exactly that. #Forex #Brokerage #FinTech #MT5 #TradingTech #BrokerGrowth #Liquidity

We are pleased to welcome @solacedotcom as a Gold Sponsor for TradingTech Summit NYC 2026! #TTSNYC #TradingTech #CapitalMarkets

🔥 Day 21/30 — Telegram Automation Daily Auto BacktestingBuilt a full pipeline: • Automatically download trade data from Telegram channel • Run backtests on my live strategies every single day • Cron job that executes at fixed time & publishes results Now I get fresh performance reports (win rate, PF, drawdown, etc.) without manual work. This is been done from last year to compare live vs actual performace Full workflow, script logic & demo in the video 👇Who else is automating their backtesting or journaling? What’s your setup?#AlgoTrading #Backtesting #BuildInPublic #Automation #TradingTech #30DayChallenge

ETF Market Making in a Multi-Asset World. José Blasco, Mehdi Bourehane and Sebastien Cathelin will discuss ETF market trends, pricing, quoting, hedging and risk monitoring with a live Horizon demo. Register: hubs.la/Q04ksfpf0 #ETF #MarketMaking #TradingTech #DeltaOne

i keep this paper close. always. 2007. numbers shift. mental model: permanent. Drepper: CPU isn't the bottleneck - memory is. L1→4 · L2→12 · L3→40 · DRAM→200 cycles the programmer who internalized this writes different data structures. Agree? #hft #lowlatency #tradingtech

🔥 Choose Your Challenge. Own Your Future. 1-Step • 2-Step • Instant Funding • Pay Later Build the prop firm that fits your vision with FXPropTech's complete white-label technology solution. #FXPropTech #PropFirm #FundedTrader #TradingTech #Forex #Futures #WhiteLabel

Report from Global Banking & Finance Review Uncover the hidden forces quietly reshaping global trading: leverage new tech, data-driven strategies, and smarter risk management to stay ahead. #GlobalMarkets #TradingTech #FinTech #FX #RiskManagement #Market… globalbankingandfinance.com/…

"Backtesting means nothing if fills don't match. @FX_Capital3 bridges the gap with institutional-grade execution: sub-millisecond order routing, 99.9% uptime during high-impact news, and full STP with no dealing desk. Test it, trade it, trust it. #FXCapital3 #Forex #TradingTech"

Another feature I would like to see is a proper black-box record for every trade Dale handles. Aircraft have a black box because when something goes wrong, people need to understand the full sequence instead of arguing over what they remember happening. A crypto transaction should be easier to reconstruct than it currently is. From the moment the user asks about the token, DeepBot already has a large amount of information moving through the system. The contract. The chain. The wallet. The amount. The quote. The expected output. The minimum received. The fees. The confirmation. The transaction hash. The final amount that lands. If a trade fails, the user normally gets one short error and the useful detail disappears behind the product. I would rather have one clean timeline. 2:01 pm: token selected. 2:02 pm: quote returned. 2:02 pm: user confirmed 0.01 ETH. 2:03 pm: transaction submitted. 2:03 pm: private route failed. 2:04 pm: funds remained in wallet. Nothing hidden and nothing left to guess. The same record would be useful when the trade succeeds. What did the user approve? What did DeepBot submit? What fee was charged? What did the wallet actually receive? How long did settlement take? Did the final result remain inside the quoted minimum? This is not only about catching mistakes. It would help people learn from their own trading. They could look back at a position and see whether the problem was poor timing, excessive costs, a rushed confirmation or simply the market moving before the transaction landed. It would help the DeepBot team too. Instead of a user saying “something went wrong”, Krypt could see the exact series of tool calls and where the result changed. That would make support faster and take a lot of emotion out of the argument. A good trading product should not only tell the user what happened. It should be able to prove it. Testing Dale here: t.me/traderdeepbot?start=316… I may earn commission if people sign up and trade through my link. @DeepBot_ $DEEPAI #DeepBot #Dale #CryptoTrading #AIAgents #Web3 #TradingTech

The agentic economy has arrived. If this gave you a clearer picture of where trading is heading, share it with someone still trading on gut feeling alone. $BTC #AIAgents #Crypto #AgenticAI #TradingTech #DeFi

🤖 I just watched my software take a futures trade — entry, stop, and target — completely on its own. No clicks. No emotion. No hesitation. Meet GAZUM® AutoPilot 👇 It's an autonomous intraday futures agent that trades prop‑firm accounts the way a disciplined human would — except it never gets bored, tired, or revenge‑trades. 🧠 Here's what's happening under the hood ⚙️ 📊 Reads the market top‑down — higher‑timeframe trend as the filter, lower‑timeframe momentum as the trigger. It only fires when bias setup auction location all agree. 🎯 Runs 14 setups every cycle and executes the single best one by reward‑to‑risk — placing the stop beyond real market structure, not a random fixed distance. 🛡️ Risk first, always. Break‑even, trailing, and give‑back protection on every trade, behind a broker‑truth risk gate: trailing‑drawdown breaker, daily loss/profit limits, and an automatic flatten before the close. 🔊 And the part I love most — it talks. It narrates every entry and exit out loud, draws the trade live on your chart, and writes its full thesis into your journal so you can review exactly why it took the trade. 🕶️ Best of all: you run it in Shadow mode first — it analyzes and logs every decision without placing a single order — so you build trust before you ever arm it. 🔒 This isn't a "get‑rich" button. It's an execution engine for traders who already have an edge and want it run with machine‑like discipline. 📈 🎥 Real AutoPilot executions in the video — unedited. 👉 gazum.org #Futures #Trading #AlgoTrading #AI #FinTech #DayTrading #BuildInPublic #TradingTech