LIVE DATALINK ACTIVE
SIDEWAYS TRADING SYSTEM
ALGORITHMIC EXPERIMENT DASHBOARD
You are viewing the live execution terminal for our ongoing algorithmic trading project.
Watch as we test, fail, and iterate through different strategies to conquer ranging markets.
Target Asset: BTCUSDm | Objective: Survive & Profit in Range
WAITING FOR DATA…
OFFLINE
NET PROFIT
$0.00
FLOATING
$0.00
WIN RATE
0.0%
MAX DD
-0.00%
“Waiting for System Initialization”
RSI: 0.0
CURRENT ACTIVE LOGIC: V1.01
ENTRY SIGNAL
Standard RSI (14) on H1 timeframe.
BUY < 30 | SELL > 70
BUY < 30 | SELL > 70
EXIT STRATEGY
Take Profit 100,000 Points & Stop Loss 100,000 Points. Risk/Reward is exactly 1:1.
POSITION SIZING
Fixed Volume 0.02 Lot. Single order execution only.
GRID / RECOVERY
DISABLED.
No averaging, no martingale. Testing pure MM logic.
RECENT EXECUTION LOGS
ESTABLISHING DATALINK…
SYSTEM EVOLUTION & ARCHIVES
PHASE 1
V1.01: RSI 14 (RR 1:1)
Our baseline test. Explores the failure rate of a standard indicator when combined with a proper 1:1 Risk/Reward management on H1 timeframe to survive market noise.
UPCOMING
V1.02: RSI 7 (SPEED)
Tweaking the indicator speed to prevent missed entries in narrow ranges. Scheduled for future testing.
ABOUT THIS PROJECT
What is the goal of this experiment?
Most trading bots fail in ranging markets. This project is a public experiment to build a robust Python algorithm designed to survive and profit when the market lacks a clear trend.
Are these live results real?
Yes. The dashboard above is connected directly to a MetaTrader 5 terminal. Every trade is streaming in real-time based on the current version’s logic.
Why use a 1:1 Risk/Reward on H1?
To ensure the bot has enough breathing room to survive intraday volatility (Market Noise) while capturing solid swing rounds without being trapped in long-term positions.
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.