Roadmap
Changelog
Help Center

Have something to say?

Tell us how we could make the product more useful to you.

Planned

Modular Risk Guardrails

Overview Automating a strategy is only half the battle—protecting your capital is the other. We are introducing a visual, modular approach to account protection and risk management. Instead of hardcoding constraints into individual strategies, you will be able to create independent Risk Guardrails (like daily drawdown limits, maximum win/loss thresholds, or specific time-based trading windows) and simply assign them exactly where they are needed. Key Capabilities Create Custom Protection Rules: Define precise operational boundaries, such as halting execution after a specific daily loss limit, pausing after a set number of consecutive wins, or restricting execution to specific market hours. Drag-and-Drop Deployment: Visually snap your risk rules directly onto specific Trade Plans or broader Broker Account nodes. Layered Defenses: Apply different rules at different levels. For example, place a strict trading window on a volatile Trade Plan, while applying a global maximum daily drawdown rule across your entire Live Broker Account.

Jeremy Tang about 1 month ago

💡

Feature Request

Completed

Integration with AI signals

AI Agent Webhook Integration (via Pre-Built Prompts) Overview Implement native webhook support allowing users to connect Large Language Models (LLMs) and custom AI agents (e.g., Claude, custom GPTs) directly to the SharkSignals execution engine. The feature relies on providing users with a pre-built system prompt that dictates the required JSON schema, bypassing the need for users to write custom integration code. Core Functionality & Acceptance Criteria Optimized Webhook Endpoints: Ensure the webhook ingestion pipeline cleanly accepts and parses LLM-generated JSON payloads, with error handling for common LLM syntax hallucinations. Pre-Built Prompt Template: Create and maintain a standardized system prompt template that users can copy/paste into their preferred AI agent. The prompt must instruct the model on exactly how to structure, format, and transmit trade requests. Authentication: All AI-generated requests must be secured using the user's existing 64-character secret key. Execution Logic: Payloads received from AI agents must seamlessly integrate with existing architectural rules, including single-entry order generation and linked multi-bracket routing (TP/SL). Primary Use Case Allows users to execute trades based on natural language processing, sentiment analysis, or macroeconomic data parsed by an AI, using a simple "plug-and-play" prompt approach rather than custom API development.

JeremyTang about 2 months ago

💡

Feature Request

In Progress

Full TradingView Strategy Synchronization

The Full TradingView Strategy Synchronization feature allows traders to execute complex, multi-stage trading strategies directly from TradingView without losing any nuance in position sizing. Many standard signal connectors only support binary "buy" or "sell" alerts that completely enter or flatten a position. However, advanced traders often utilize progressive scaling techniques to manage risk and maximize profit potential. SharkSignals bridges this gap by interpreting the exact position size changes dictated by your TradingView strategy and mirroring them flawlessly in your connected brokerage account. This synchronization ensures that every partial fill, pyramid entry, or scaled exit is faithfully replicated in real-time, moving beyond the limitations of basic alert webhooks. By reading the precise order sizing logic from TradingView, SharkSignals maintains a true 1:1 state between your charted strategy and your live portfolio, ensuring your automated execution matches your backtested models perfectly. Core Capabilities Precision Scaling In (Pyramiding): Automatically add to winning positions or average into a trade at different price levels, exactly as defined by your TradingView strategy's pyramiding rules. Dynamic Scaling Out: Secure profits dynamically by executing partial exits at predefined targets while letting the remainder of the position run, fully managed by your strategy's script. Intelligent Flattening and Reversals: Seamlessly handle complete position closures or "stop and reverse" (SAR) scenarios without requiring multiple complex alerts to calculate the net contract difference. State-Aware Tracking: SharkSignals constantly monitors the true net position intended by TradingView, preventing the out-of-sync errors that frequently occur when manual interventions or missed alerts disrupt standard webhook systems.

JeremyTang about 2 months ago

💡

Feature Request