236.9K
FUWhat is algorithmic trading, and how do I get started?
#petergriffin #trading #algotrading #software #quant #techreels
@fullstackpeter
#Algorithmic Trading Software
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110.6K
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
5.5K
DEAlgo Trading Software : Trading Bot by Delta Exchange 🔥 ⭐
It can help reduce the pressure of execution on trading styles such as Scalping where you have to execute multiple trades in just few seconds. Where your risk to reward is very much dependent on execution rather than the strategy itself.
Or even with the strategies of multiple legs like straddle, strangle, butterfly spread you have to deploy each leg of strategy at the same time which goes beyond human functionality, therefore algorithmic trading facilitates the on time execution which helps build up fair trading set up.
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How to do algo trading
Best algo trading app
Software to trade with algorithms
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#cryptocurrency #crypto #currency #trading #bitcoin #ethereum #bitcoin #dogecoin #AlgorithmicTrading #QuantitativeTrading #TradingAlgorithms #AutomatedTrading #QuantFinance #HFT (High-Frequency Trading) #MarketAlgorithm #FinancialTechnology #AlgoStrategy #explorepage #explore #Reels #robot
@deltaexchangein
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
310.8K
MUAutomated Trading Bot
Get Free Access Now
#trading #tradingbot #gold #forex
@mubashir.irfan_
2.1M
RAHow to build a claude skill for a prediction market trading bot with a 68.4% winrate #ai #tech #trading
@raycfu
751.9K
OHA developer reportedly used Claude as the brain behind a fully automated trading system that generated $847 overnight.
It started from a single article about Polymarket bots. Claude read it, selected 7 GitHub repositories, connected them into a working pipeline, and deployed the system end to end.
From there, everything ran autonomously. The system scanned over 412,000 trades, tracked whale wallets, detected insider activity, and made decisions in real time.
According to him, every few seconds it was analyzing data, deciding whether to buy, sell, or skip, and executing trades automatically.
47 trades later, the system finished the night up $847 with no manual input.
If AI can already do this on its own, what do you think happens next?
@ohmo.ai
47.2K
NAAUTOMATED @sonic_scalper_pro_ai
@nasdaq_ninja
21.8K
ALThis is a quantitative trading model.
This system focuses on capturing a specific intraday risk premium using a scaling systematic risk management model in its approach. It specifically trades Micro Nasdaq Futures, both long and short.
It significantly outpaced the S&P buy-and-hold return as shown in bottom of the frame.
This system has ran over $20,000,000 of live capital through the Algo Exchange platform. The equity curve line shown is based on the VWAP of all real-life fills of connected accounts from September 2020 to January 2025.
The risk/reward surface at the top of the frame displays the average win vs average loss ratio across different lookback windows, and peaks indicate periods of exceptional risk/reward characteristics.
If you would like more information on this system and a dozen more just like it, comment “Algo”.
Trading is risky, and is not suitable for all investors.
#quant #trading #algotrading #algorithms #investing
@algoexchange
625.0K
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
15.8K
TR#trading #tradingforex #forex #tradingstrategy #robottrading
@trading_robots_
139.8K
JU5 Python Libraries for Algo Trading!🐍
Are there any other libraries that you use? Let me know in the comments and follow for more!
#optionstrading #finance #options #stock
@julias.algos
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Analysis of 12 reels
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