LIVE DATALINK ACTIVE
HYBRID TRADING SYSTEM
THE DUAL-FORCE HEDGING ERA
Welcome to Phase 1. This is Version 1.01. We are testing a dual-force Hedging system that runs Sideways and Trend logic simultaneously on a single asset to balance the equity curve.
Target Asset: BTCUSDm | Strategies: RSI + EMA Cross | Recovery: HEDGING
WAITING FOR DATA…
OFFLINE
NET PROFIT
$0.00
FLOATING
$0.00
WIN RATE
0.0%
MAX DD
-0.00%
“Waiting for System Initialization”
EMA: 0.0 | RSI: 0.0
CURRENT ACTIVE LOGIC: V1.01
SIDEWAYS ENGINE (M: 333333)
Standard RSI 14 (H1).
BUY < 30 | SELL > 70.
Volume: 0.02 Lot | TP/SL: 100k (RR 1:1)
BUY < 30 | SELL > 70.
Volume: 0.02 Lot | TP/SL: 100k (RR 1:1)
TREND ENGINE (M: 333334)
Classic EMA Cross 9/21 (H1).
Volume: 0.01 Lot | TP 300k / SL 100k (RR 1:3).
Volume: 0.01 Lot | TP 300k / SL 100k (RR 1:3).
HEDGING MECHANICS
Both engines operate simultaneously. If price moves aggressively, the Trend bot rides it while the Sideways bot sells the tops to hedge the exposure.
GRID / RECOVERY
HEDGING ONLY.
No averaging, no martingale. Drawdown is managed purely by opposing strategy correlation.
RECENT EXECUTION LOGS
ESTABLISHING DATALINK…
SYSTEM EVOLUTION & ARCHIVES
PHASE 1
V1.01: DUAL-FORCE HEDGE
Deploying both RSI and EMA Cross on the same asset to observe natural hedging behavior without using dangerous grid multipliers.
UPCOMING
V1.02: MACHINE LEARNING
Integrating a basic Python ML model (Random Forest) to act as a master switch, deciding which engine (SW or TR) should be allowed to trade.
ABOUT THIS PROJECT
Why run two bots at once?
Market regimes change constantly. A sideways bot loses money in a trend, and a trend bot loses money in sideways chop. By running both, we aim to smooth out the equity curve.
How does Hedging reduce risk?
If the Trend bot buys a massive breakout, the Sideways bot will eventually identify the asset as ‘Overbought’ and open a Sell. This locks the floating profit of the initial Buy order, protecting the portfolio during the inevitable pullback.
SUPPORT THE PROJECT
Your monthly support helps keep this live experiment running, covers server costs, and funds future Python algorithm research.
Educational & Research Purposes Only (Dev Log):
This archive displays raw data from an algorithmic trading experiment. It is NOT a solicitation to invest, financial advice, or a guarantee of future profits. Trading involves high risk. Past performance is not indicative of future results.