
Understand how to compare trading indicators, scripts, strategies for algorithmic data. We review UltraAlgo to understand more about Brokerage Integration, Real-Time Data, Algorithmic Trading, Screener and Optimization Functions.
We currently offer a diverse portfolio of tools (platforms, algo indicators, strategies, strategy optimizers, and portfolio allocation) across various platforms (Interactive Brokers, TradingView, TradeStation, TD Ameritrade, Alpaca) depending on the individual requirements of the customer. All the tools are designed with retail trading in consideration, but also capable of executing across the most demanding of institutional specifications.
Back-testing is core to all of our products. Our team is lead by experienced High Frequency Traders who have built complex trade order management and execution systems for Tier 1 Banks along with Hedge Funds. Predictability and consistency can only be achieved when traders have insights into historical trading trends.
Our lastest platform release leverages the power of genetic algorithms in combination with our robust 15-indicator script to identify patterns quickly with accuracy. Run through thousands of input combinations for a clear indication of which settings delivered optimal profitability rates or profit factor. We include both models of optimization, should a trader be focused on a high return / high risk vs lower returns / lower risk allocation strategy.
Reddit Stock Trading and MEME stocks. Our community of users and algorithms generate thousands of optimized trading settings daily. In this video we demonstrate how to use those settings to improve your entry / exit of trades. Modify the frequency of reference to match the pattern of any stock leveraging the UltraAlgo Chart. This allows traders to apply more aggressive entry and exit points as indicators that align to each trading strategy. Parameters dynamically adjust along with the indicators relative to the period of reference (1-min period all the way through monthly ranges).
We created this platform primarily because TradeStation notified it's partners that the TradeStationApp store was closing down effective September 2022. This now leaves a community of subscribers and developers with a relatively short window to migrate strategies to other platforms with another language outside of EasyLanguage. One of the key features with the TradeStation platform included the extensive backtesting available with an optimizer that included a wide range of parameters.
Forward to today (September 21, 2022) and the TradeStationApp Store is roughly a week away from closure. Luckily, in 2021 our development team started working on a trading platform that allows integration to various exchanges such as TradeStation, Interactive Brokers, TD Ameritrade and a few others.
The UltraAlgo platform was designed with ease-of-use in mind, and allows customers to perform similar functions to what was available via the traditional TradeStation exchange but with far few steps. Real-time data is included with the subscription to the NYSE / NASDAQ / OTC.
Our latest platform release leverages the power of genetic algorithms in combination with our robust 15-indicator script to identify patterns quickly with accuracy. Run through thousands of input combinations for a clear indication of which settings delivered optimal profitability rates or profit factor. We include both models of optimization, should a trader be focused on a high return / high risk vs lower returns / lower risk allocation strategy.
Version 5 (latest release) includes Multi-Script functionality, allowing the user to navigate between the "base" UltraAlgo indicator to a weighted indicator referencing EMA, RMA, SMA, VWMA and WMA. The script also can now filter buy signals, which is useful for users that do not margin trade and specifically leverage shorting within their strategy. Alerts are now updated to support all strategies and functions according to the backtest output.
Modify the frequency of reference to match the pattern of any stock leveraging the TradingView Chart. This allows traders to apply more aggressive entry and exit points as indicators that align to each trading strategy. Parameters dynamically adjust along with the indicators relative to the period of reference (1-min period all the way through monthly ranges).
Learn how to trade stocks across different time-frames (Interday vs Intraday trading). This strategy is important primarily trading patterns are more prevalent / consistent depending on the time-series being referenced.
In this video we explain how to use Options data (Calls, Puts, Call-Put Ratio, Open Interest, Maximum Pain) to improve your understanding of the stock market with a little help from artificial intelligence. Combined with our industry leading trading algorithms. Our brokerage intergations include: TradeStation, ToS (ThinkorSwim), TD Ameritrade, Interactive Brokers and TradingView.
In this course we introduce traders into how to leverage algorithmic trading, backtesting and optimizers to improve trading performance. We introduce a diverse portfolio of tools (platforms, algo indicators, strategies, strategy optimizers, and portfolio allocation) across various platforms (Interactive Brokers, TradingView, TradeStation, TD Ameritrade, Alpaca) depending on the individual requirements of the customer. All the tools are designed with retail trading in consideration, but also capable of executing across the most demanding of institutional specifications.
Back-testing is core to this course and algorithmic trading in general. Our team is lead by experienced High Frequency Traders who have built complex trade order management and execution systems for Tier 1 Banks along with Hedge Funds. Predictability and consistency can only be achieved when traders have insights into historical trading trends.
The lastest platform release that will be covered, leverages the power of genetic algorithms in combination with our robust 15-indicator script to identify patterns quickly with accuracy. Run through thousands of input combinations for a clear indication of which settings delivered optimal profitability rates or profit factor. We include both models of optimization, should a trader be focused on a high return / high risk vs lower returns / lower risk allocation strategy.
Topics of Discussion:
▶ Trading To Multiple Brokers
▶ Real-Time Market Data
▶ One-Click Optimizer (Genetic)
▶ Clear Buy / Short Signals
▶ Institutional Trades Tracked
▶ Adjustable to Stock Volatility
▶ Selectable Base Technical Indicator
▶ Support / Resistance Levels
▶ Machine Learning Price Forecast
▶ Options Trading (Calls, Puts, Open Interest, Maximum Pain)
▶ Trading with Artificial Intelligence (Ai)