CUT THE NOISE | Exploring markets with AI | DM open GROK believer

Joined September 2026
ELON MUSK'S GROK READ 48 EMAILS, BOOKED THE CALL AND SENT A $3,200 INVOICE. THE HUMAN PART WAS ONE YES. One Grok Bot orchestrator, five bots, one job each, goal set to "inbox to invoice". INBOX reads every email, SORTER tags what matters, REPLY writes the answer, CALENDAR books the call, INVOICE builds and sends the bill. The chain is inbox → dedupe → sort → reply → fact check → calendar → invoice build → invoice check → your yes → sent. The run: 48 unread → 19 threads, 6 dupes dropped, 2 VIP threads first → 5 replies drafted in the tone from the rules, short and polite → 12 of 12 facts checked, 0 invented, prices left blank → 4 free slots found, call booked Thursday 15:00 CET, 0 conflicts → Acme invoice built, 3 items, $3,200, VAT ok, net 7 → sent the moment the yes landed. The whole rulebook is three lines: sending needs a yes, price goes to a human, working hours 09-18. The reply bot never touches the price, it leaves the field blank and waits for you. The bots also carry a memory of 312 past emails with a 94% reply rate, so the drafts sound like you. This is one run on one inbox, so test it on yours before you trust it. That is a one-person company: the bots do about 90% and you only give the human yes or no. Steal this, steal all of them, send this to your Grok Bot and ask for your own inbox-to-invoice team. Ready to copy. Save this. Follow for more one-person desks.
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alpha404 retweeted
I tested the wireless environment in an $85 hotel room. Less than two minutes later, I had 21 devices to review. 20 appeared ordinary. One caught my attention. I’m sitting on the hotel bed with my MacBook open, the room lit by a bedside lamp, and a small red indicator blinking high on the wall near the door. That was enough to make me curious. I opened Grok Terminal and entered a request: “Inspect nearby Wi-Fi and Bluetooth broadcasts. List discoverable devices, summarize advertised information, identify unfamiliar vendors, and highlight potential security concerns that can be assessed without accessing private systems.” The results showed 21 visible wireless devices. Most had recognizable characteristics. One didn’t have enough identifying information to immediately establish what it was. That’s where the real investigation began. Instead of jumping straight to conclusions, I focused on a few questions: → Could the unknown device be part of the hotel’s lighting, climate control, or access system? → Is there enough information to identify its manufacturer and model? → Does publicly available documentation indicate whether its software is still supported? → Are connected room systems designed to remain separated from guest networks? → Is there verifiable evidence of a security weakness, or is the device simply unfamiliar? Then I noticed something else in the photograph. A tiny red light near the ceiling. It’s easy to build a dramatic story around a detail like that. But a blinking indicator by itself tells us very little. It could belong to an alarm, a sensor, or another ordinary piece of equipment. It does not establish that a camera is present, that a device is transmitting over Bluetooth, or that anyone has compromised the room. The same principle applies to wireless scans. Unknown doesn’t mean malicious. Visible doesn’t mean vulnerable. And a possible weakness isn’t proof of an active attack. Still, connected devices deserve attention. Hotel rooms can contain electronic locks, thermostats, televisions, access points, and building-management equipment. Their security depends on how they’re configured, maintained, and separated from other networks. A passive scan can provide useful clues, but it cannot independently confirm firmware vulnerabilities, weak credentials, network isolation, or whether a door lock can be bypassed. Those conclusions require additional evidence and properly authorized testing. Here’s the quick security routine I use when checking an unfamiliar environment: 1. Review the wireless surroundings. Look at discoverable devices and publicly advertised information without attempting to connect to them. 2. Investigate unfamiliar entries. Record device names, manufacturer identifiers when available, signal strength, and advertised services. Remember that identifiers can be missing or misleading. 3. Verify before labeling anything suspicious. Compare findings with legitimate product documentation and information provided by the property. 4. Leave hotel infrastructure alone. Don’t probe access controls, attempt unauthorized logins, disrupt connections, or modify safety equipment. 5. Report genuine concerns. If something appears tampered with or raises a credible privacy concern, contact hotel management and request a room change if necessary. The point isn’t to turn every hotel stay into a cybersecurity emergency. It’s to understand the difference between collecting signals and establishing facts. One scan can reveal what deserves further investigation. It cannot tell the whole story. And that red light near the ceiling? It’s a reason to stay curious, not evidence that someone is watching you. AI tools can help organize technical observations, explain unfamiliar terminology, and build a sensible investigation checklist. But the final conclusions must come from verifiable evidence, not a dramatic-looking screen. Save this checklist for your next hotel stay. A little awareness goes a long way — without confusing uncertainty with danger.
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5 GROK BOTS. $360 AT RISK, +$1,020 CLOSED ON ONE SOLANA TRADE. ELON'S SPACEXAI GROK BOTS RAN THE WHOLE TRADE AND I SAID YES ONCE. NO SIMULATION, THIS IS MY OWN TEST ACCOUNT. One-person desk. The Groks do 90% and I say yes or no. Here's what they do: Scanner finds the level → Stop caps the risk → Target sets the exit → Entry fires the order → Closer rides it to the target Scanner found support at 100.35. Stop capped the loss at 100.10, so $360 on 100 SOL. Target set the exit at 113.90. Entry fired the long at 103.70 for R:R 1:2.8, and Closer rode it to the target for +$1,020. Each bot does one job and none of them touches another one's. The human part of the whole trade is one yes. Ready to copy: one bot per step → stop before entry → reward at least 2.8x risk → a human signs the order Steal this 5-bot desk and send this to your Grok Bot to build the same 5 seats. Save this. Follow for the setups nobody shares. Which seat would you never give to a bot, Scanner or Closer?
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alpha404 retweeted
$27,000 → $157,352 WITH GROK BOTS. THE BOTS KILLED 85 TRADES BEFORE THEY EVER REACHED ME. Every Grok Bot skill that prints has the same 4 steps. Steal this. You told your bot "trade for me" and watched it blow up. It had no idea what to read, what to skip or who signs the order. 01 READ → price, order book, news 02 CHECK → is the data fresh? Stale book, no trade 03 APPLY RULE → risk 1%, reward at least 2x 04 DRAFT → the bot writes the order Then YOU → yes or no 306 setups read 264 passed the check 221 passed the rule and got drafted I said yes to 200 85 never reached me One died at step 3. A bitcoin perp wanted 1.8% of balance. The rule says 1%. Gone. $27,000 → $157,352 Net +$130,352 (+482.8%) 1,429 actions. Grok Bots did 85%, I did 15%, and my part was yes or no. Before you hand any job to a bot, run 5 checks: 1. It repeats every week 2. You can write the rule 3. A mistake is cheap to fix 4. The bot can read the data 5. A human signs the exit 5/5 → hand it to a Grok Bot. 4/5 → keep it. One-person desk. AI agents do the grind, I press the last click. Send this to your Grok Bot and tell it to build every skill in this shape. Template + 5 checks + 10 ready-to-copy Grok Bot skills, free. Link in the first reply ↓ Save this. Almost nobody has it. Follow for the setups nobody shares.
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Grok Bot scanned my $95 hotel room in 94 seconds. 21 wireless devices detected. 20 looked normal. One didn’t. I’m lying in a hotel room right now, MacBook on my knees, black socks on, and a red light blinking above the door. I opened Grok Terminal and asked: “Scan nearby Bluetooth and Wi-Fi devices. Map what’s visible, identify unknown hardware, and flag outdated firmware or suspicious security configurations.” The scan returned 21 devices. 20 looked familiar. One entry stood out. Unknown device. Unrecognized vendor. No obvious identity from the scan alone. So I asked Grok Bot to organize the results and explain what could actually be verified. It flagged the questions worth investigating: → Is the device a legitimate hotel IoT controller? → Is its firmware still supported? → Does it communicate with other room systems? → Are the electronic lock and safety devices properly isolated? → Is there any evidence of weak authentication or outdated security? Then I looked at the photo again. Top right corner. That tiny red light on the ceiling-mounted detector. It makes the perfect detail to investigate — but a blinking LED alone doesn’t prove a Bluetooth handshake, a hidden camera, or a compromised smoke detector. And an unknown wireless device isn’t automatically a threat. The bigger issue is what happens when connected hotel equipment runs outdated software and nobody checks the security boundaries. A vulnerable controller could potentially expose more than one system. But proving that requires authorized testing, firmware analysis, and actual evidence — not just a scan. Here’s my 2-minute hotel security check: 1. Run a passive scan of nearby wireless devices 2. Record unfamiliar device names, signal strength, and advertised services 3. Don’t attempt to unlock, access, or disable hotel equipment 4. If you spot suspicious hardware or signs of tampering, notify hotel management and request another room One scan won’t tell you whether your door lock can be bypassed. It can tell you what deserves a closer look. And that red light in the top-right corner? It’s a reminder to ask questions, not proof of a breach. Grok Bot helps turn raw signals into an investigation plan. The evidence has to do the rest. Save this before your next hotel check-in.
Grok Bot could be the first team you build instead of hire Six bots can run 200+ agents, hold their own 5 a.m. standup and hand you one board in the morning In this article, I show you how
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alpha404 retweeted
TWO BROTHERS. $20K. A DOZEN AI TOOLS. $1.8 BILLION. and no it's not a pitch deck, NYT literally checked his financials Matthew Gallagher launched Medvi, a telehealth company selling weight-loss meds, in 2024. it took him 2 months and $20k to get off the ground. ChatGPT, Claude and Grok wrote the code, the site copy, the ads, even ran customer support 2025 → $401M in sales 2026 → tracking for $1.8B team → him and his brother for context Hims does similar money with 2,400+ people. Medvi's net margin is ~16%, Hims ~5.5% but the real lesson isn't "AI replaced 2,400 people" he didn't build doctors, pharmacies or shipping. he rented all of it. AI only runs the part the customer actually sees own the customer, rent everything else. that's the whole playbook and it's not pretty either lol. his support bot made up drug prices and he just honored them. once he pushed a tiny site update, went on a hike, checkout broke and he lost around 200 customers his last company had 60 employees and never made a profit. this one has 2 and prints money so is this the future of business or a house of cards waiting for one bad bug? 👇
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864 AI DECISIONS WHILE HE SLEPT. TOTAL COST: $0.04. A 22 y/o NYU student went to bed and left an OpenAI Dot in charge of 4 other AIs. The dot is the night watch: it wakes the rest of the desk and reports to Slack. Jev decides every candle in 81 ms for $0.000047, Opus 5.5 writes the thesis, GPT Sol sends the order, DeepSeek scouts. At 02:13 the dot started watching 3 coins. At 02:43 Jev said NO 99 times in a row, then YES on a short with a 0.81 score. The dot woke Opus, Opus wrote the thesis, and Sol sent a 2.1 ethereum short with a stop owned by code. Entry $3,206.68. Stop $3,211.81, so $11 at risk. Target $3,171.41, so +$74. It hit. $11 risked to make $74, and the student slept through all of it. It works because the cheap fast model says NO 99 times, the expensive brain wakes only on a YES, and the watcher only reports while the code owns the stop. 864 calls cost less than the gum in his pocket. Steal this setup. Save it before the next X, almost nobody has it.
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alpha404 retweeted
$12,614 a year for one word: “no.” That is the bill for putting the most expensive model on every 1-minute BTC candle. Almost every answer is nothing here. You still pay for a full reasoning pass. A real desk does not work that way. A cheap filter sees everything. Analysts build what survives. The expensive model speaks last, and almost never. Same final call. The bill drops from $12,614 to $394 a year. Seat 1. The bouncer. A fast, cheap model. Three questions per candle: is the flow toxic, what is the regime, is there a setup. About 40 of 4,320 candles pass. The pass rule lives in code, not in the prompt. Seat 2. Analysts who sleep. They wake only on a pass. Three jobs: levels, entry, size. About 9 real plans come back. The rest are NO_TRADE. Seat 3. The one you call rarely. It does not build the trade. It tries to break it. Four checks: do the timeframes agree, is funding crowded, is there news in the window, is the stop where the idea actually dies. Verdict is APPROVE, REDUCE, or VETO. Bad JSON is a VETO. One plan looked clean. Long BTC 84,545, stop 84,275, target 85,215, 2.5R. Three checks green. The stop sat where the ratio looked pretty, not where the idea breaks. Signed at half size. Price hit the target. +$1,711. One red check cuts the risk in half. On the day the other three are wrong too, that half keeps the account alive. The cheapest model talks the most. The most expensive talks the least. Models judge. Code enforces. You keep the keys. Trading on, withdrawals off. Max risk and a daily loss stop live where no prompt can reach them. The model is not the edge. If the setup loses by hand, three models will lose it faster and write a tidy journal about it. Seven days, filter only, zero orders. Then analysts, and you read every plan. Then the risk officer. Orders last.
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$27,000 → $157,352 WITH GROK BOTS. THE BOTS KILLED 85 TRADES BEFORE THEY EVER REACHED ME. Every Grok Bot skill that prints has the same 4 steps. Steal this. You told your bot "trade for me" and watched it blow up. It had no idea what to read, what to skip or who signs the order. 01 READ → price, order book, news 02 CHECK → is the data fresh? Stale book, no trade 03 APPLY RULE → risk 1%, reward at least 2x 04 DRAFT → the bot writes the order Then YOU → yes or no 306 setups read 264 passed the check 221 passed the rule and got drafted I said yes to 200 85 never reached me One died at step 3. A bitcoin perp wanted 1.8% of balance. The rule says 1%. Gone. $27,000 → $157,352 Net +$130,352 (+482.8%) 1,429 actions. Grok Bots did 85%, I did 15%, and my part was yes or no. Before you hand any job to a bot, run 5 checks: 1. It repeats every week 2. You can write the rule 3. A mistake is cheap to fix 4. The bot can read the data 5. A human signs the exit 5/5 → hand it to a Grok Bot. 4/5 → keep it. One-person desk. AI agents do the grind, I press the last click. Send this to your Grok Bot and tell it to build every skill in this shape. Template + 5 checks + 10 ready-to-copy Grok Bot skills, free. Link in the first reply ↓ Save this. Almost nobody has it. Follow for the setups nobody shares.
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$40,000 → $100,865 IN 5 DAYS. NOBODY TOUCHED THE KEYBOARD. CLAUDE GIVES THE ORDERS. JEV, AN OPENAI DOT AND GROK EXECUTE. THE TERMINAL IS A PEPE. 1,312 trades. 73% win rate. 8 coins, 5x perps, 24/7. Alpha404 // Pepe Overwatch on Claude Code 2.1.286 One leader, four bots, one job each. GHOST (Claude) shorts what bleeds. $10k → $26,555 PIGEON (OpenAI Dot) scalps in and out. $10k → $26,129 ARCHITECT (Jev) buys the dip. $10k → $24,656 KONG (Grok) chases momentum. $10k → $23,524 Day 5 closed +19.76%, +$16,641 in one day. Best exit +$1,347. Worst exit -$729. 0 positions open at the close. 27% of the 1,312 trades still lost. 5x cuts both ways once real money goes in. What I copy every day: 1. One leader, separate bots for separate styles 2. Small trades, huge trade count 3. Flat into the daily close My whole job is yes or no. The bots do the other 90%. Full setup is below and free. Almost nobody has it saved. Steal all of it, save this before the next X, or send this to your Grok Bot.
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alpha404 retweeted
6 GROK BOTS HUNT LIQUIDATIONS FOR ME. +$12,926 TODAY. THEY FIND WHERE $216M OF SHORTS ARE HIDING THEIR STOPS AND GO TAKE THEM. Every cascade someone gets liquidated. Usually it's you, with your stop parked exactly where everyone else parked theirs. My desk hunts those stops. Here is the whole pack, one job each: 1. Scout finds liquidation clusters near price 2. Heatmap ranks all 12 clusters and locks one target 3. OI Watch confirms the shorts are actually trapped 4. Funding checks who's paying to stay wrong 5. Risk sets the trade: 1% risk, nothing under 2x reward 6. Executor drafts the limit order and waits Then they sit while price drifts into the stops. +$31,926 total. One person, 6 agents, every stop in the market watched 24/7. You trade the chart. My bots trade the people trading the chart. Steal the pack. All 6 bots ready to copy, plus the 14 best free repos to run them with, are in the first reply. Send this to your Grok Bot and save it before the next cascade hunts you.
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alpha404 retweeted
WHO THE F*CK BUILT THIS... OPUS 5.5 + REA run my whole X account from one chat. 51 videos in 13 days, none of them touched an editor. every day at 13:50 a routine wakes up: opus 5.5 = the boss. reads the chat, hires a fresh agent for every task scout = finds what X is fighting about in the last 24h REA = digs out the receipts: sources, numbers, dates writer = post + 3 backup hooks, then an anti-slop filter deletes every "delve" video agent = codes the scene in HTML, renders it frame by frame, writes its own beat memory = 27 rule files. i said "never use the pig again" once. it never did i press post. that's my whole job.
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6 GROK BOTS HUNT LIQUIDATIONS FOR ME. +$12,926 TODAY. THEY FIND WHERE $216M OF SHORTS ARE HIDING THEIR STOPS AND GO TAKE THEM. Every cascade someone gets liquidated. Usually it's you, with your stop parked exactly where everyone else parked theirs. My desk hunts those stops. Here is the whole pack, one job each: 1. Scout finds liquidation clusters near price 2. Heatmap ranks all 12 clusters and locks one target 3. OI Watch confirms the shorts are actually trapped 4. Funding checks who's paying to stay wrong 5. Risk sets the trade: 1% risk, nothing under 2x reward 6. Executor drafts the limit order and waits Then they sit while price drifts into the stops. +$31,926 total. One person, 6 agents, every stop in the market watched 24/7. You trade the chart. My bots trade the people trading the chart. Steal the pack. All 6 bots ready to copy, plus the 14 best free repos to run them with, are in the first reply. Send this to your Grok Bot and save it before the next cascade hunts you.
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Every rule is public, so you don't have to trust me github.com/apha404ai/grok-bo… 6 bots + the 14 free repos I'd run them with. TradingAgents, freqtrade, ccxt, official Hyperliquid SDK Paper trade it for a week. The bots will show you where the stops are hiding
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alpha404 retweeted
SPACEXAI DROPPED 146 GROK BOTS THAT REPLACE $8.7M OF PAYROLL A YEAR. ONE HAGGLES YOUR SAAS BILL, ONE SHIPS CODE AT 4AM, AND ONE SPIES ON YOUR F*CKING COMPETITORS. 90 marketplace bots. 56 official jobs. Free to add, working 24/7, zero sick days. The bots that print money. → Haggle Bot digs through your Ramp data, finds the $40K a year you burn on unused seats and drafts the counteroffer to your vendors. → Stalk Bot signs up for your competitors under its own email, films their onboarding and tracks every price change. A $2,000 a month intel tool, gone. → Nightly Audit Engineer reads your whole codebase and ships 1 cleanup PR per area at 4am. A $180K senior dev on the night shift. → Startup QA Bot walks your product every weekday from its own test account and files every bug. A $90K QA hire in a sidebar. → dial bot places real outbound phone calls and reports back. A $4K a month SDR that never gets tired. → Subscription Cleaner kills the $300 a month you forgot you were paying. The one that should scare OpenAI. Import Bot pulls your entire setup from Claude Cowork, Codex and ChatGPT and rebuilds it as Grok Bots in one go. How they work. → Each bot signs in to your apps and uses them like you do. → Show it a workflow once and it runs it forever. → Drop 3 bots in one thread and they hand work to each other. → Nothing sends, spends or merges without your yes. Your competitors are hiring 146 employees this week for $0. Save this before one of them installs Stalk Bot on you.
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alpha404 retweeted
10 GROK BOTS FIRED ME FROM MY OWN TRADING DESK. +$67K PNL. 24/7. THEY KEPT ME FOR ONE JOB: SAYING YES. You: 6 charts open at 3am, fourth coffee, longing the top right before the cascade wipes you. Then revenge trading the bounce. That was my job too. The bots took it. Here is every bot on the crew, one job each: 1. Session Timer only trades liquid hours. No 3am chop 2. News Filter sits out 15 minutes around red news 3. Trend Filter trades with the 4h trend and ignores your feelings 4. Funding Watch skips crowded trades 5. Liquidation Map keeps your stop out of liquidation walls 6. Spread Check refuses anything over 0.05% spread 7. Size Calc risks exactly 1% of balance, zero exceptions 8. Risk Gate kills anything under 2x reward 9. Journal logs every trade, blocked ones too 10. Post-mortem turns every loss into a new rule One BLOCKED anywhere and the trade dies. Survive all 10 and it lands on my phone. Yes or no. Last stop cost $720. Post-mortem wrote a new rule before I finished breakfast. Your $200/mo signal group sends you a screenshot and a prayer. My desk is a one-person company with 10 agents that never get tired, greedy or scared. Steal all of them. All 10 skills, ready to copy, free, are in the first reply. Send this to your Grok Bot. Save it before the next cascade eats your account.
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10 GROK BOTS FIRED ME FROM MY OWN TRADING DESK. +$67K PNL. 24/7. THEY KEPT ME FOR ONE JOB: SAYING YES. You: 6 charts open at 3am, fourth coffee, longing the top right before the cascade wipes you. Then revenge trading the bounce. That was my job too. The bots took it. Here is every bot on the crew, one job each: 1. Session Timer only trades liquid hours. No 3am chop 2. News Filter sits out 15 minutes around red news 3. Trend Filter trades with the 4h trend and ignores your feelings 4. Funding Watch skips crowded trades 5. Liquidation Map keeps your stop out of liquidation walls 6. Spread Check refuses anything over 0.05% spread 7. Size Calc risks exactly 1% of balance, zero exceptions 8. Risk Gate kills anything under 2x reward 9. Journal logs every trade, blocked ones too 10. Post-mortem turns every loss into a new rule One BLOCKED anywhere and the trade dies. Survive all 10 and it lands on my phone. Yes or no. Last stop cost $720. Post-mortem wrote a new rule before I finished breakfast. Your $200/mo signal group sends you a screenshot and a prayer. My desk is a one-person company with 10 agents that never get tired, greedy or scared. Steal all of them. All 10 skills, ready to copy, free, are in the first reply. Send this to your Grok Bot. Save it before the next cascade eats your account.
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alpha404 retweeted
1 MINUTE. 10 SKILLS. STEAL ALL OF THEM. GROK BOT BUILT ITS OWN TRADING BRAIN AND KILLED 16 BAD TRADES BEFORE THEY EVER REACHED ME Most traders blow up on trades they knew were bad. Ugly risk/reward, red news in 5 minutes, longing into a 4h downtrend So I made it a one-person trading desk. 10 bots, one job each: risk-gate → no trade under 2x reward liquidation-map → stops stay out of liq walls size-calc → risk exactly 1% trend-filter → only with the 4h trend funding-watch → skips crowded funding session-timer → liquid hours only spread-check → spread under 0.05% news-filter → no red news within 15 min journal → logs every trade, even blocked ones post-mortem → every loss becomes a new rule 67 trades. 369 skill calls. 16 blocked The blocked ones alone saved $19,326 Equity $67,741 → $128,169. Net +$60,428 Live one right now: #0206, short gold, $1,318 at risk. spread-check yes, risk-gate yes, funding-watch NO. Shorts are crowded, trade dead Meanwhile euro/dollar paid +$3,264 because 7 skills said yes I don't open charts anymore. The bots do the work, I'm the human yes All 10 skills, ready to copy, free, MIT: github.com/apha404ai/grok-bo… Send this to your Grok Bot and run them top to bottom. Any BLOCKED kills the trade Save this before it gets buried. Follow so you don't miss the next alpha drop, I post the setups nobody shares
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1 MINUTE. 10 SKILLS. STEAL ALL OF THEM. GROK BOT BUILT ITS OWN TRADING BRAIN AND KILLED 16 BAD TRADES BEFORE THEY EVER REACHED ME Most traders blow up on trades they knew were bad. Ugly risk/reward, red news in 5 minutes, longing into a 4h downtrend So I made it a one-person trading desk. 10 bots, one job each: risk-gate → no trade under 2x reward liquidation-map → stops stay out of liq walls size-calc → risk exactly 1% trend-filter → only with the 4h trend funding-watch → skips crowded funding session-timer → liquid hours only spread-check → spread under 0.05% news-filter → no red news within 15 min journal → logs every trade, even blocked ones post-mortem → every loss becomes a new rule 67 trades. 369 skill calls. 16 blocked The blocked ones alone saved $19,326 Equity $67,741 → $128,169. Net +$60,428 Live one right now: #0206, short gold, $1,318 at risk. spread-check yes, risk-gate yes, funding-watch NO. Shorts are crowded, trade dead Meanwhile euro/dollar paid +$3,264 because 7 skills said yes I don't open charts anymore. The bots do the work, I'm the human yes All 10 skills, ready to copy, free, MIT: github.com/apha404ai/grok-bo… Send this to your Grok Bot and run them top to bottom. Any BLOCKED kills the trade Save this before it gets buried. Follow so you don't miss the next alpha drop, I post the setups nobody shares
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