🌐
GitHub
github.com › topics › indicators
indicators · GitHub Topics · GitHub
Indicator TS delivers a rich set of technical analysis indicators, customizable strategies, and a powerful backtesting framework. No dependencies, just pure simplicity. ✨ See how!
🌐
GitHub
github.com › freqtrade › technical
GitHub - freqtrade/technical: Various indicators developed or collected for the Freqtrade · GitHub
Technical provides easy to use indicators, collected from all over github, as well as custom methods. Over time we plan to provide a simple API wrapper around TA-Lib, PyTi and others, as we find them.
Starred by 996 users
Forked by 243 users
Languages   Python
🌐
GitHub
github.com › topics › technical-indicators
technical-indicators · GitHub Topics · GitHub
TA-Lib RT is a fork of TA-Lib that provides additional API for incremental calculation of indicators without reprocessing whole data. technical-analysis ta-lib technical-indicators ta-lib-rt
🌐
GitHub
github.com › vsaveris › trading-technical-indicators
GitHub - vsaveris/trading-technical-indicators: Trading Technical Indicators python library · GitHub
Trading Technical Indicators python library. Contribute to vsaveris/trading-technical-indicators development by creating an account on GitHub.
Starred by 146 users
Forked by 37 users
Languages   Python
🌐
GitHub
github.com › anandanand84 › technicalindicators
GitHub - anandanand84/technicalindicators: A javascript technical indicators written in typescript with pattern recognition right in the browser · GitHub
A javascript technical indicators written in typescript with pattern recognition right in the browser - anandanand84/technicalindicators
Starred by 2.4K users
Forked by 582 users
Languages   JavaScript 65.0% | TypeScript 33.6% | HTML 1.3%
🌐
GitHub
github.com › topics › technical-analysis-indicators
technical-analysis-indicators · GitHub Topics · GitHub
Uses multiple moving averages of different lengths to determine and visualize the current market trend. Provides a clear overview of trend direction across timeframes, suitable for traders of all levels. trading-algorithms technical-analysis ...
🌐
GitHub
github.com › freqtrade › technical › blob › main › technical › indicators › indicators.py
technical/technical/indicators/indicators.py at main · freqtrade/technical
Various indicators developed or collected for the Freqtrade - technical/technical/indicators/indicators.py at main · freqtrade/technical
Author   freqtrade
🌐
GitHub
github.com › cinar › indicator
GitHub - cinar/indicator: Indicator Go delivers a rich set of technical analysis indicators, customizable strategies, and a powerful backtesting framework. No dependencies, just pure simplicity. ✨ See how! 👀
Indicator Go delivers a rich set of technical analysis indicators, customizable strategies, and a powerful backtesting framework. No dependencies, just pure simplicity. ✨ See how! 👀 - cinar/indicator
Starred by 843 users
Forked by 151 users
Languages   Go 97.5% | Go Template 1.2%
🌐
GitHub
github.com › topics › technical-analysis
technical-analysis · GitHub Topics · GitHub
The technical-analysis topic hasn't been used on any public repositories, yet.
Find elsewhere
🌐
LiteFinance
litefinance.org › home
Best Indicators for Swing Trading: Complete Guide 2026 | LiteFinance
February 26, 2026 - The best indicators for swing trading can save you a lot of time analyzing price fluctuations. Swing trading tools include technical indicators, trend lines, price levels, Fibonacci levels, trend reversal patterns, and much more. They allow you to earn on any time frame, resulting in profits of up to 20%–25% per month.
🌐
GitHub
github.com › oribarilan › lensline.nvim
GitHub - oribarilan/lensline.nvim: Modular nvim codelens support with inline references, git blame and more · GitHub
September 27, 2025 - What it shows: Function complexity indicators using language-aware research-based scoring that analyzes control flow patterns (branches, loops, conditionals) rather than superficial metrics like line count. Note that complexity is calculated using a heuristic that may evolve over time, but will always be documented in the changelog.
Starred by 276 users
Forked by 2 users
Languages   Lua
🌐
GitHub
github.com › M-Pineapple › CryptoAnalysisMCP
GitHub - M-Pineapple/CryptoAnalysisMCP: Professional cryptocurrency technical analysis MCP for Claude Desktop. Real-time indicators, patterns & signals for 2,500+ coins. Built with Swift.
June 28, 2025 - Professional cryptocurrency technical analysis MCP for Claude Desktop. Real-time indicators, patterns & signals for 2,500+ coins. Built with Swift. - M-Pineapple/CryptoAnalysisMCP
Starred by 21 users
Forked by 2 users
Languages   Swift 98.4% | Shell 1.6% | Swift 98.4% | Shell 1.6%
🌐
Optimus Futures
optimusfutures.com › blog › best-indicators-for-day-trading-futures
Best Indicators for Day Trading Futures
March 12, 2025 - It is important to note, however, that while VWAP is a powerful tool, it is most effective when used in conjunction with other indicators and strategies. This approach helps to confirm signals and enhance overall trading performance. Also, traders should be aware of the limitations of VWAP, such as its lagging nature, and the potential confusion it can cause right after the market opens due to insufficient data. The Money Flow Index (MFI) is a technical oscillator that integrates volume with price data to measure buying and selling pressure.
🌐
Reddit
reddit.com › r/options › best indicators for swing trading
r/options on Reddit: Best indicators for Swing Trading
July 3, 2024 -

How to Catch Waves like Tesla?**

Hi everyone,

I’m looking to improve my swing trading strategies for options and would love to get some insights from this community. Specifically, I’m curious about the best indicators and methods you use to catch the waves in the market.

  • What technical indicators do you find most reliable for swing trading options?

  • Are there specific chart patterns or setups that you look for?

  • How do you combine different indicators to make your trading decisions?

  • Any tips on avoiding false signals and improving the accuracy of entries and exits?

I appreciate any advice, resources, or experiences you can share. Thanks in advance!

Top answer
1 of 5
10
IMO the best are: Moving Averages (MA): Helps identify the trend direction. The 50-day and 200-day MAs are commonly used. Relative Strength Index (RSI): Great for spotting overbought and oversold conditions. Look for levels above 70 (overbought) and below 30 (oversold). MACD (Moving Average Convergence Divergence): Useful for identifying changes in the strength, direction, momentum, and duration of a trend. Bollinger Bands: Helps gauge the volatility and identify potential breakout points. Chart Patterns: Head and Shoulders: Indicates a reversal pattern. Cup and Handle: Suggests a continuation of the trend. Double Bottom/Top: Signals a potential reversal. Combining Indicators: Trend Confirmation: Use MA to identify the trend and RSI to confirm entry points. Volume Analysis: Combine with indicators to confirm the strength of a move. MACD Crossovers: Use alongside RSI to validate entry/exit points. Avoiding False Signals: Multiple Time Frame Analysis: Check the same indicator on different time frames. Confirmation Indicators: Don’t rely on a single indicator. Combine two or three to confirm the signals. Volume Confirmation: Higher volume often confirms the validity of the breakout or reversal. I use IndicatorSuccessRate.com . It's a great tool to analyze the success rate of different indicators and integrate them into your strategy.
2 of 5
10
I use TrendSpider to back test tickers where RSI has been sub 25 for 3 days and the MACD signals a buy. I then consider buying deep ITM calls 6 months out. My success rate is high.
🌐
GitHub
github.com › tejaslinge › Technical-Analysis-using-Python › blob › main › BankNifty.ipynb
Technical-Analysis-using-Python/BankNifty.ipynb at main · tejaslinge/Technical-Analysis-using-Python
December 2, 2021 - Technical analysis and back-testing in Python . Contribute to tejaslinge/Technical-Analysis-using-Python development by creating an account on GitHub.
Author   tejaslinge
🌐
Findoc
findoc.com › learn › stock-trading › top-7-indicators-for-swing-trading
Top 7 Swing Trading Indicators Every Trader Should Know
Discover the top 7 swing trading indicators in 2026 & learn how to use moving averages, RSI, MACD, and more for better entry & exit points in the stock market.
🌐
Tradu
tradu.com › my › guide › trading › swing-trading-indicators
Indicators for Swing Trading | Swing Trading Strategies | Tradu Malaysia
December 1, 2024 - This strategy is based on technical analysis using the Fibonacci ratio sequence (23.6%, 38.2%, 50%, 61.8%, 78.6%, 100% and so forth). It aims to identify pullbacks (retracements) and trends (extensions) in price, which you can use to identify future price movements. Traders combine the percentage levels above with other forms of analysis like historical trend analysis and fundamental analysis to open and close positions. Using the indicator alone can expose you to random and potentially loss-making price movement.
🌐
GitHub
github.com › ebi2kh › Real-Time-Financial-Analysis-Trading-System
GitHub - ebi2kh/Real-Time-Financial-Analysis-Trading-System: Developing a Real-Time Financial Analysis & Trading System · GitHub
It employs stream processing frameworks and technologies to handle data in motion, enabling continuous calculation of indicators such as moving averages, exponential moving averages, and relative strength index (RSI).
Starred by 31 users
Forked by 14 users
Languages   HTML 34.6% | CSS 23.7% | JavaScript 22.8% | Java 13.3% | SCSS 5.3% | Python 0.2% | Dockerfile 0.1%
🌐
Pythoninvest
pythoninvest.com › long-read › tech-indicators-on-crypto-and-stocks
[Part 14] Exploring Technical Indicators on Crypto and Stock tickers
As the next step we explore the utilization of the TA-Lib library (https://github.com/TA-Lib/ta-lib-python) to generate technical indicators (full list of functions), enhancing our analysis of hourly OHLCV data dumps.