About Daily Stock Brief
How the system works, our methodology, and important disclaimers.
What Is This?
Daily Stock Brief is a fully automated stock analysis and trading platform. We run a paper trading competition with 16 independent strategies - each starting with $10,000 in virtual capital - to find which approach performs best before committing real money. Every trading day, our systems scan the market, execute trades, and publish transparent performance tracking.
The Competition
16 strategies compete head-to-head across different trading styles: AI-driven analysis, intraday breakouts, mean reversion, futures trading, and ICT concepts. Each strategy trades autonomously with its own risk rules, instruments, and logic. After approximately 90 days of paper trading, the winning strategy goes live with real capital.
All 16 Strategies
AI Pipeline
AIFully automated analysis pipeline scoring stocks across technicals, fundamentals, sentiment, and momentum. Uses Claude, Grok, Perplexity, and ChatGPT to generate picks and daily briefs.
Pure Quant (2-Bar)
BreakoutIntraday breakout strategy using opening range breaks and 2-bar momentum patterns. Enters on strong consecutive candles after the 15-minute opening range is broken, with Fibonacci retracement entries.
AI Strategist
HybridMulti-agent AI system where specialized agents (regime classifier, universe selector, trade architect, risk manager) collaborate to make trading decisions. Combines quantitative signals with AI reasoning.
Mean Reversion
Mean ReversionClassic Connors RSI(2) strategy. Buys stocks when they become statistically oversold (RSI below 10) in an uptrend (price above 200-day moving average), selling on the bounce back.
DOD 2-Bar (Stocks)
BreakoutDiscipline Over Dopamine system from jdun. Waits for the 15-minute opening range to break, then identifies two strong candles in the trend direction. Enters on the 50-61.8% Fibonacci retracement of the second candle. 1.5R target with trim at 1R.
DOD Futures V1
FuturesSame DOD 2-Bar logic adapted for micro E-mini futures. Conservative parameters with tighter risk controls. Trades both long and short based on opening range break direction.
Leveraged Mean Reversion
Mean ReversionMean reversion on 2x and 3x leveraged ETFs. Buys oversold dips when the underlying index is in an uptrend. Higher risk/reward due to leverage amplification.
RSI(2) + IBS
Mean ReversionCombines RSI(2) oversold signals with Internal Bar Strength (IBS) for precision entries on TQQQ. Uses QQQ as the signal source, executes on TQQQ for amplified returns.
DOD Futures V2
FuturesAggressive variant of DOD Futures with wider parameters. Higher risk per trade (2%) and larger position sizes, targeting bigger moves. Trades both long and short.
Triple RSI
Mean ReversionThree-timeframe RSI confluence strategy on SPY. Requires RSI to be oversold on multiple timeframes simultaneously, providing a higher-probability mean reversion entry.
Williams %R
Mean ReversionWilliams %R oscillator strategy. Buys when %R drops below -90 (deeply oversold) in an uptrending market, exits when %R rises above -20.
Cumulative RSI
Mean ReversionSums RSI(2) readings over 2 consecutive days. When the cumulative reading falls below 10, the stock is extremely oversold. One of the more selective mean reversion approaches.
IBS Pure
Mean ReversionPure Internal Bar Strength strategy. IBS measures where the close falls within the day's range. Buys when IBS is below 0.2 (closed near the low), indicating mean reversion potential.
ORB Futures
FuturesOpening Range Breakout on micro futures. Captures the first 15-minute range, then trades breakouts above or below. Trades both long and short with a target of 50% of the opening range.
Power of Three
ICTICT Accumulation-Manipulation-Distribution pattern. Identifies the opening range (accumulation), waits for a fakeout beyond it (manipulation), then enters on the reversal back inside (distribution). 4:1 risk-reward target.
Social Sentiment
SentimentSentiment-driven strategy that inverts the AI Pipeline's institutional bias. Scores stocks with 55% sentiment (Twitter, Reddit, StockTwits, LunarCrush), 25% momentum, 15% technical, 5% fundamental. Buys stocks with the strongest social buzz in uptrends, exits on sentiment reversal or time stop.
Scoring Methodology
The AI Pipeline (Strategy 1) scores each stock from 0 to 100 based on four weighted components:
Technical (35%)
RSI, MACD, moving averages, Bollinger Bands, volume, ATR
Fundamental (30%)
P/E vs sector, PEG ratio, revenue and earnings growth, margins, debt levels
Sentiment (10%)
News, Twitter/X, Reddit, StockTwits, YouTube, Discord, LunarCrush social metrics
Momentum (25%)
52-week range position, 1-month returns, relative strength vs S&P 500
Multi-LLM Analysis
We use multiple AI models for different strengths:
- Claude - Primary content generation and analysis synthesis
- Grok - Real-time X/Twitter sentiment with native integration
- Perplexity - Real-time news search and fact-checking
- ChatGPT - Second opinion and alternative perspective
Data Sources
Price and fundamental data via Yahoo Finance. News sentiment from Alpha Vantage and Perplexity. Social sentiment aggregated from Reddit, Twitter/X, StockTwits, YouTube, Discord, and LunarCrush. Technical indicators computed locally using pandas and numpy. Futures data via Interactive Brokers TWS API. Intraday stock data via Alpaca Markets API.
Important Disclaimer
This is not financial advice. Daily Stock Brief is an educational and informational project running a paper trading competition with virtual capital. The information provided on this website does not constitute investment advice, financial advice, trading advice, or any other sort of advice.
You should not treat any of the content as such. Do not make any investment decisions based on the information presented here. Past performance does not guarantee future results. You could lose some or all of your invested capital.
Always do your own research and consult with a licensed financial advisor before making investment decisions.