RetroChainer

THESE 2 FREE REPOS SHOULD HONESTLY BE ILLEGAL. ONE PENGU SHORT, OPEN SINCE SATURDAY, +$405 PER $10,000, AND THE GROK BOT DESK STILL WON'T CLOSE IT. they're openai-agents-python and the mcp servers repo. 122k github stars between them. here's how it works: > 5 roles hand off in a line: triage → scout → analyst → trader → risk > every volume spike goes into the memory server. 116 notes since friday > the pm makes a call on every 5-minute bar of pengu here's how to run it: 1 → pip install openai-agents 2 → add the memory and time mcp servers 3 → watch the trail line before you touch anything honestly the trail line is the part i keep watching. it follows the short down and would lock in +1.43% if it's hit. i'd have closed this trade on day one. where the pm stands now is on screen in the clip (visualization). bookmark this ↓

This is f*cking gold.. ONE GROK BOT ROUTINE ON A 10-MINUTE SCHEDULE RUNS 1,008 TIMES A WEEK. MOVE IT TO 3 TIMES A WEEKDAY AND IT'S 15. SAME DIGEST, 67X FEWER RUNS. this is a full grok bot usage guide. every line in the official docs that spends your week, and the exact message to send your bot for each fix. > usage counts agent steps and tokens, not messages > every reply between bots spends your week too > the test button does the real work, so it costs a real run > on the x subscription, cursor and the grok apps eat from the same week honestly my favourite line is from the docs: "a slack trigger on a busy channel can use a week of usage in a day." i kept the boring job for myself: saying ok before the bot pauses anything. how the week runs out on day 2 is on screen in the clip.

THESE 2 FREE REPOS SHOULD HONESTLY BE ILLEGAL. 108 FLAGS, 5 GOT THROUGH, AND THOSE 5 PUT A GROK BOT DESK $570 AHEAD OF HOLDING PER $10,000. they're langchain and firecrawl. 346k github stars between them. here's how it works: > firecrawl is the scout: it flags any coin trading at 2x its usual volume > langchain fills the other 4 roles: analyst, pm, trader, risk > the pm makes one call every 15 minutes on wif, pengu and bonk here's how to run it: 1 → pip install langchain firecrawl-py 2 → give the scout one rule and the 3 coins 3 → watch the pm before the trader moves honestly the scout panel is the part i keep watching. 108 flags since friday, 5 got through, and 102 landed while it was already in a trade. it just sat there. how sure the pm is right now is on screen in the clip (visualization). bookmark this ↓

THESE 6 FREE REPOS SHOULD HONESTLY BE ILLEGAL. 1.2M GITHUB STARS ON ONE DESK, AND ITS LAST QQQ SELL SAVED $286 PER $10,000 BY THE VERY NEXT CLOSE. they're n8n, ollama, dify, llama.cpp, vllm and rea. 1.2m github stars between them. here's how it works: > rea maps the indicators, yahoo sends qqq daily bars > llama.cpp votes on trend, vllm on momentum, ollama on volume, dify on drawdown > the pm adds up the weighted votes, n8n executes here's how to run it: 1 → npx n8n 2 → python desk py --ticker QQQ --data yahoo 3 → read the pm's math line before you trust the call honestly the math line is the part i keep watching. 4 weighted votes, one sum, and that's the whole decision. no vibes anywhere. the sum on 10-23 is on screen in the clip. i won't say anything more. bookmark this ↓

THESE 6 FREE REPOS SHOULD HONESTLY BE ILLEGAL. THE DESK IS +$258 PER $10,000 ON TSLA, AND ITS BEST VOTER WAS BUILT TO GIVE AI AGENTS A MEMORY. they're browser-use, openhands, mem0, agno, smolagents and rea. 771k github stars between them. here's how it works: > rea maps the indicators, yahoo sends tsla daily bars > smolagents votes on trend, agno on momentum, browser-use on volume, mem0 on drawdown > openhands holds the position, the pm makes one call a day here's how to run it: 1 → pip install smolagents 2 → python desk py --ticker TSLA --data yahoo 3 → watch what mem0 remembers before the pm decides honestly the mem0 lines are the part i keep watching. it remembers the 1-year peak and votes off the distance to it. i'd have forgotten that peak by now. how far tsla still is from it is on screen in the clip. i won't say anything more. bookmark this ↓

THESE 6 FREE REPOS SHOULD HONESTLY BE ILLEGAL. MSFT MOVED 0.2% IN A YEAR. 5 OF THE MOST-STARRED AGENT FRAMEWORKS, WIRED AS ROLES ON ONE DESK, FINISHED $1,100 AHEAD PER $10,000. they're autogpt, metagpt, autogen, crewai, langgraph and rea. 842k github stars between them. here's how it works: > rea maps the indicators, yahoo sends msft daily bars > crewai votes on trend, autogen on momentum, metagpt on volume, langgraph on drawdown > autogpt places the order, the pm makes one call a day here's how to run it: 1 → pip install crewai 2 → python desk py --ticker MSFT --data yahoo 3 → read the 4 votes before you look at the pm honestly the part i keep watching is autogpt's job here. 187k stars, and all it does is place the order. where the pm landed on 10-23 is on screen in the clip. i won't say anything more. bookmark this ↓

THESE 6 FREE REPOS SHOULD HONESTLY BE ILLEGAL. +$670 ON EVERY $10,000 FROM ONE SPY TRADE. CASH SINCE SEPTEMBER, AND THE PM IS STILL WAITING ON ONE WORD. they're abu, quantstats, quantlib, tensortrade, octobot and rea. 463k github stars between them. here's how it works: > yahoo sends spy daily bars, rea maps the indicators from a chart app > abu votes on trend, tensortrade on momentum, quantstats on volume, quantlib on drawdown > octobot places the order, the pm makes one call a day here's how to run it: 1 → pip install quantstats 2 → python desk. py --ticker SPY --data yahoo 3 → don't skip the scoreboard, it grades every vote 5 sessions later honestly the tensortrade row is the part i keep watching. 68 votes, 65% right, best on the desk. i'd have bet on the c++ library. the word the pm is waiting for is on screen in the clip. i won't say anything more. bookmark this ↓

THESE 6 FREE REPOS SHOULD HONESTLY BE ILLEGAL. $1,240 BETTER THAN HOLDING TSLA ON EVERY $10,000, AND THE SMARTEST MODEL ON THE BOARD ISN'T EVEN A TRADING BOT. they're nofx, easytrader, ghostfolio, jesse, finrobot and rea. 464k github stars between them. here's how it works: > rea pulls the indicators, yahoo pulls tsla daily bars > jesse votes on trend, nofx on momentum, finrobot on volume, ghostfolio on drawdown > easytrader places the order, the pm makes one call a day here's how to run it: 1 → pip install jesse 2 → python desk. py --ticker TSLA --data yahoo 3 → watch which model the pm sides with honestly the ghostfolio row is the part i keep watching. it's a wealth tracker, not a trading bot. 67 votes, 78% right, best on the board. where the pm stands on tsla right now is on screen in the clip. i won't say anything more. bookmark this ↓

THESE 6 FREE REPOS SHOULD HONESTLY BE ILLEGAL. ONE OF THEIR QQQ TRADES TURNED $10,000 INTO $11,536. ONE ENTRY, ONE EXIT, 54 SESSIONS OF DOING NOTHING IN BETWEEN. they're firefly iii, quantaxis, stocksharp, stock-prediction-models, backtesting .py and rea. 476k github stars between them. here's how it works: > yahoo feeds qqq daily bars, rea reads the indicators off a chart app > backtesting. py votes on trend, quantaxis on momentum, stockpred on volume, firefly on drawdown > stocksharp places the order, the pm makes one call a day here's how to run it: 1 → pip install backtesting 2 → python desk. py --ticker QQQ --data yahoo 3 → let the scoreboard run 5 sessions before you trust a vote honestly the orders pane is the part i keep watching. 4 trades in 10 months. the april one sat there for 54 sessions, and i'd have sold it ten times. what the pm is waiting for is on screen in the clip. i won't say anything more. bookmark this ↓

THESE 6 FREE REPOS SHOULD HONESTLY BE ILLEGAL. THEY BOUGHT MSFT AT $401.10 IN JULY. IT CLOSED FRIDAY AT $524.51 AND THE DESK STILL HASN'T SOLD. they're daily_stock_analysis, fincept, dexter, ai-trader, lightweight-charts and rea. 576k github stars between them. here's how it works: > rea maps a chart app's indicators: sma, rsi, macd, bollinger bands, atr > 4 models vote on msft daily bars: trend, momentum, volume, drawdown > risk checks it, the pm makes one call a day here's how to run it: 1 → npm install lightweight-charts 2 → python desk.py --ticker MSFT --data fincept 3 → watch the dexter vote before the pm decides honestly the dexter row is the part i keep watching. only model saying bear right now. right 54% of the time, best on the board. what the pm did on 10-23 is on screen in the clip. i won't say anything more. bookmark this ↓

THESE 6 FREE REPOS SHOULD HONESTLY BE ILLEGAL. BLOOMBERG SPENT ~$2.67M TRAINING ITS OWN FINANCE AI. ONE OF THESE TRAINED ON A SINGLE GAMING GPU FOR $17.25. they're openbb, kronos, yfinance, fingpt, ta-lib and rea. 585k github stars between them. here's how it works: > yfinance and openbb pull the data > kronos reads the candles, fingpt reads the news, ta-lib runs the indicators > a bull and a bear argue, and the pm makes one call a day on aapl here's how to run it: 1 → pip install yfinance openbb 2 → python desk. py --ticker AAPL --data yfinance 3 → read the model votes before the pm decides honestly the fingpt row in its readme is the part i keep rereading. 1 × rtx 3090, 17.25 hours. the pm's last call is on screen in the clip. i won't say anything more. bookmark this ↓

THESE 6 FREE REPOS SHOULD HONESTLY BE ILLEGAL. 600K GITHUB STARS, $0, AND ONE BITCOIN BOT WHERE 4 SIGNALS VOTE LONG OR SHORT EVERY 5 MINUTES. they're freqtrade, ccxt, hummingbot, nautilus_trader, vn. py and rea. all open source. here's how it works: > rea maps an exchange app's order flow into 4 signals: trend, momentum, volume, taker flow > they vote long or short, the strategy sizes it, risk checks it > freqtrade executes on btc here's how to run it: 1 → pip install freqtrade 2 → freqtrade trade --strategy ReaFlow 3 → watch the 4 votes before it executes honestly the long % line is the part i keep watching. 95% at 09:15, 67% an hour later. the last call is on screen in the clip. i won't say anything more. bookmark this ↓

THESE 6 FREE REPOS SHOULD HONESTLY BE ILLEGAL. A QUANT RESEARCHER COSTS A FUND ~$200K A YEAR. THIS DESK HAS 4 ANALYSTS, A BULL, A BEAR AND A PM, AND IT COSTS $0. they're tradingagents, ai-hedge-fund, vibe-trading, qlib, finrl and rea. 685k github stars between them. here's how it works: > rea maps the app's signal to 4 analysts: technical, sentiment, news, fundamentals > a bull and a bear argue, a trader proposes, risk checks it > the pm makes one call a day on nvda here's how to run it: 1 → pick one desk to start, not all six 2 → tradingagents --ticker NVDA --analysts all 3 → read the analyst votes before the pm decides honestly the vote heatmap is the part i keep watching. 90 sessions, one row per analyst. the pm's last call is on screen in the clip. i won't say anything more. bookmark this ↓