smc_quant
Unverified Other strategy on Multi by starckyang. BotFinder score 18 out of 100.
SMC-based algorithnic trading
Source: github
BotFinder analysis pending.
smc_quant
SMC-based Algorithmic Trading Strategy for ETH 📌 Project Overview This project implements an algorithmic trading strategy based on the Smart Money Concept (SMC) in the Ethereum (ETHUSDT) market. It identifies institutional trading patterns such as Order Blocks (OB), Fair Value Gaps (FVG), and Break of Structure (BoS) to capture large market moves. The strategy is backtested using Binance API for historical data retrieval and backtesting.py for performance evaluation. Data processing and analytics are handled with pandas, numpy, and scipy. --- 🎯 Strategy Logic Smart Money Concept (SMC) - Order Blocks (OB): The last opposing candle before a major move. - Fair Value Gap (FVG): Unfilled price gaps left by strong institutional moves. - Break of Structure (BoS) / Change of Character (CHoCH): Key market structure shifts. Trade Execution Flow 1. Identify BoS or CHoCH. 2. Detect FVG and locate the relevant OB. 3. Wait for price retracement into the OB zone. 4. Enter trade with: - Stop-loss at OB boundary. - Exit based on trend reversal or fixed drawdown rule. --- 📊 Backtest Results | Dataset
⚠ No verified equity curve — no track-record source connected.
Drawdown profile
Data unavailable — contact the owner.
Verification ledger
How the score has moved
Recalculated at each data collection. Transparency means showing the bad weeks too.
No score history is stored yet — only the current score is shown.
Reviews & comments
No reviews collected from the source yet.
⚠ No live verification account connected — ask for proof before buying.
Alerts on changes: coming soon
Prop-firm compatibility not provided.
Open-source maintainer on GitHub.
Data-completeness & trust index (not a profitability rating)