237.8K
FUWhat is algorithmic trading, and how do I get started?
#petergriffin #trading #algotrading #software #quant #techreels
@fullstackpeter
#Algorithmic Trading Tools
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16.0K
TR#trading #tradingforex #forex #tradingstrategy #robottrading
@trading_robots_
74.7K
MAComment “Astral” and I’ll send you the link 👇
I just found the craziest AI trading tool I’ve ever seen—and look at these results.
It’s called Astral AI, and it’s genuinely insane.
Here’s how it works:
1. Choose your stock or crypto (I chose Bitcoin)
2. Ask the agent to build you a strategy
I said: “Build a momentum strategy that buys when RSI crosses over 30 and sells when it hits 70.”
Astral coded the entire thing and ran backtests—the results are crazy.
Then you just click Deploy and connect your broker.
Astral buys and sells for you and automates the entire process.
The agent can also:
• Do full market research
• Analyze sectors
• Set reminders
If you want to trade using AI but have no idea where to start, you need this.
#ai #aitools #astral #trading #astralai @tradewithastral
@mavgpt
110.8K
RETHIS BOT PASSED MY EVALUATION SO FAST🤑🤯
I use this to pass my evaluations quick and I’ve passed 100s of evals using this strategy. Comment “BOT” if you wanna use the same trading bot I am. 💸
@realjaypelle
175.0K
THTrying to shed some more light on this…
Did you know you can automate trade signals from TradingView so that you no longer have to be at the desk placing the trade?
Comment the word “automate” on this post and we’ll send over a full walkthrough video showing you how to set it all up.
Follow us here to stay up to date on all things trading automation!
#automatedtrading #tradingbot #trading #tradingtips #tradingview
@thealphainsider
271.4K
AB- Top 8 Trading Tools 👇🏻
Charting: Tradingview
News: Forexfactory
Strategy: AMD / liquidity sweeps
Direction: h4 Liq sweeps & supply demand
Entry: LTF BoS, CISD, MSS, SMT, FVG, IFVG
Backtesting: FXReplay
Orderflow: Bookmap
Timing: London Open & NY Open
Funding: @alpha_futures
👉🏻 COMMENT BELOW - which ones do YOU use?
#daytrading #tradingeducation #priceaction #forex #futurestrading
@abeteddymaruta
121.1K
TRComment “GAIL” for this amazing
🟣AI Assistant to help you with your Trading
@tradewithchantel
625.2K
SM🚀 The most SIMPLE trading strategy—and it’s TOTALLY FREE! 🚀
Here’s how to trade it:
✅ Open TradingView and select ANY stock
✅ Drop down to the 5-minute time frame
✅ Use an AI-powered indicator that analyzes the market pre-open for super accurate entries
✅ Follow the signal—like this short trade on Nvidia—and let the indicator tell you when to exit
This strategy runs on Daily Single Trade from SMRT Algo, and the best part? It’s 100% FREE on TradingView! 🔥
📌 Save this video so you don’t forget!
@smrtalgo2
146.4K
NICOMMENT “AI” TO GET STARTED 👑 #daytrading #motivation #tutorial #money #millionaire #wolfofwallstreet #wifimoney
@nikolastrades
2.1M
RAHow to build a claude skill for a prediction market trading bot with a 68.4% winrate #ai #tech #trading
@raycfu
719.6K
OHA student reportedly turned $1,400 into $238,006 in 11 days using a simple trading bot built with Claude.
After spending two nights reading the documentation, he built a bot that scans Polymarket every few seconds looking for pricing inefficiencies between market prices and estimated probabilities.
The bot executed 366 trades with a 62% win rate, identifying opportunities where markets temporarily mispriced outcomes.
One of the largest trades came from a prediction market about Donald Trump signing a crypto executive order, where the bot entered at 28¢ and exited at 81¢.
That single position generated $52,700 in profit.
In just 11 days, the student saw results most traders never experience in years.
@ohmo.ai
445.8K
COGet started with algorithmic trading?
It’s the process of using code and data to automate trading decisions—based on logic, historical patterns, or machine learning.
If you're learning or building in this space, here are some of the **most common projects** you'll come across:
Popular Algorithmic Trading Projects:
- Time Series Forecasting
- Anomaly Detection
- Pairs Trading
- Volatility Modeling
- Sentiment-Based Trading
- Machine Learning Stock Screener
- Reinforcement Learning Agents
- Backtesting Engines
Popular ML Models Used to build these projects!
- LSTM – for time series forecasting of price and volatility
- Random Forest & XGBoost – classification/regression using engineered financial features
- Autoencoders – detect anomalies in returns or market behavior
- Isolation Forest – flag outliers in price or volume
- ARIMA/GARCH – model linear trends and volatility clustering in financial data
- Transformers – for multi-stock forecasting or analyzing textual data like earnings reports
Want help building one? Get access to my Machine Learning Engineer roadmap and let’s break the stock market! Comment “algorithm” and I’ll send you the access!
@codingmermaid.ai
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