Remora Risk Engine

A real-time market risk API that blocks bad trades before they happen.

🦈 Remora Risk Engine

Stop Bad Trades Before They Happen

Stop Bad Trades Before They Happen

Trade only when the market is favourable. Prevent losses from regime shifts, volatility spikes, and trend reversals.

Remora is a real-time market-risk microservice that tells your trading bot when conditions are safe - and blocks entries when the market is about to turn ugly

Get Your Free API Key View Live Dashboard & API

Use Remora with Freqtrade

Plug Remora risk filtering into your existing Freqtrade strategies with a single snippet.
Skip the worst trades instantly — no dependencies required.

Avoid volatility spikes, extreme fear, choppy markets, and market-wide selloffs without changing your strategy logic.

Learn More →

Avoid 30-60% of losing trades - automatically

Powered by a transparent risk engine that explains every decision.

Most crypto strategies don't fail because of bad logic - they fail because they trade during terrible market conditions

Backtests show that 30-60% of losing trades happen during:

  • Extreme Fear
  • Volatility spikes
  • Choppy sideways regimes
  • Bearish news events
  • Market-wide risk signals

Remora analyses dozens of market conditions and returns a clear trade recommendation — with scoring, reasoning, and risk breakdowns.

Your strategy stays exactly the same — Remora filters out the market noise that crushes performance.

safe_to_trade: false
risk_score: 0.77 (very high)
regime: choppy
reason: Extreme Fear (F&G=15)
recommendation: no_entry
View full API response →

Signals Remora monitors in real time:

Market Regime Volatility Momentum Trend Strength Fear & Greed News Sentiment Liquidations Funding Rate DXY / Macro

Not a black box

Remora doesn't just say yes or no. It returns risk scoring, regime classification, volatility levels, event flags, and the full reasoning behind each recommendation — so you always know why you've avoided a bad trade.

See real Remora output

View actual API responses with complete risk breakdowns and reasoning.

{ "safe_to_trade": false, "risk_score": 0.77, "risk_class": "very_high", "regime": "choppy", "volatility": 0.047, "volatility_classification": "low", "risk_confidence": 0.73, "trend_classification": "sideways", "momentum_classification": "neutral", "reasoning": [ "Extreme Fear (F&G=15) - blocking trades", "Trading disabled due to global risk conditions" ], "blocked_by": ["flag_extreme_fear"], "risk_breakdown": { "volatility": 0.017, "regime": 0.24, "trend_strength": 0.1, "momentum": 0.066, "external": 0.35 }, "event_flags": { "flag_extreme_fear": true, "flag_high_volatility": false, "flag_downtrend": false, "flag_panic": false, "flag_bear_market": false, "flag_extreme_volatility": false, "flag_bearish_news": false }, "recommendation": "no_entry", "fear_greed_index": 15, "btc_dominance": 56.37, "funding_rate": 0.000069, "vix": 20.52, "dxy": 122.24, "news_sentiment": 0.0, "news_important_events": 32, "has_important_news": true }
View Full API Documentation →

How Remora Works

Analyse

Remora continuously monitors dozens of real-time market conditions including technical indicators (volatility, momentum, trend strength), external data sources (Fear & Greed Index, news sentiment, liquidations, funding rates), and macro indicators (VIX, DXY). All data is collected and processed in real-time to build a comprehensive market picture.

Score

Each condition is weighted and combined into a composite risk score (0-1), with detailed breakdowns by category. The system classifies market regime (bull, bear, choppy, volatile), identifies event flags (extreme fear, panic, bear market), and generates human-readable reasoning explaining why conditions are safe or risky.

Decide

Based on the analysis, Remora returns a clear safe_to_trade boolean, a specific recommendation (entry_ok, no_entry, caution), and complete transparency including the risk score, regime classification, reasoning array, and all underlying indicators. Your strategy receives a simple yes/no signal backed by full context.

Why Traders Use Remora

If you run Freqtrade or any algo bot

  • Avoid entering during high-risk periods
  • Prevent trades during news spikes, extreme fear, high volatility, or choppy regimes
  • Improve win-rate by skipping the worst-performing conditions
  • Works with every strategy - just one API call

If you trade manually

  • Understand the current market regime at a glance
  • Know when to enter, when to wait, and when to stay flat
  • Live dashboard showing volatility, trend, sentiment, and risk score

⚡ Quick Start (Freqtrade in 30 seconds)

Add to your strategy:

import requests import os def confirm_trade_entry(pair, direction, **kwargs): api_key = os.getenv("REMORA_API_KEY") headers = {"Authorization": f"Bearer {api_key}"} if api_key else {} try: r = requests.get( "https://remora-ai.com/api/v1/risk", params={"pair": pair}, headers=headers, timeout=2.0 ) return r.json().get("safe_to_trade", True) except Exception: return True # Fail-open

You're done - your bot now avoids dangerous conditions.

Note: Get your free API key from the signup page for higher rate limits.

View full Freqtrade integration guide with examples →

🖥️ Live Status Dashboard

See real-time market regime, volatility, trend strength, sentiment, and global risk score

View Status Dashboard

📘 Technical Deep Dive

Learn about risk scores, indicators, market regimes, and more

How Remora Works

Who Built This?

I'm Donald Simpson, a developer and algo trader who built Remora to protect strategies from high-risk market regimes.

While building and backtesting strategies, I kept running into the same problem: even good strategies were getting wrecked by a handful of terrible trades during fast, messy market conditions. A single bad entry could wipe out the gains from ten solid ones.

Eventually I realised the strategies themselves weren't the issue - the bots had zero real-time market awareness. They were trading blindly into conditions no (sane) human would touch.

So I started building a layer that gives trading bots the context they were missing, helping them avoid the situations most likely to lead to losses. That became "Remora" - originally intended as a tool to "follow the whales", but it grew into something much broader.

After 6 years of backtesting across 51,941 trades, Remora is now a publicly available microservice used by traders and researchers.

Privacy & Security: Your API key is hashed and stored securely. We don't track your trading activity or share your data. The service is designed to be transparent and trustworthy.

🔑 Get Started

Start using Remora Risk Engine today. No credit card/details required.

Get your free API Key View the API Documentation