DEV LOG: PHASE 1

SIDEWAYS BOT V1.01

THE STATIC RULE-BASED ERA

Welcome to Phase 1. This is Version 1.01. We are testing the raw performance of a pure, hardcoded indicator with strict Money Management on a higher timeframe.
Target Asset: BTCUSDm | Indicator: RSI 14 | TP: 100k / SL: 100k | Recovery: OFF

GET FULL SYSTEM SOURCE CODE
FINAL P/L
IN PROGRESS
NET GROWTH
–%
WIN RATE
–%
TOTAL TRADES
CURRENT ACTIVE LOGIC: V1.01
ENTRY SIGNAL
Standard RSI (14) on H1 timeframe.
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. Pure baseline testing.
DEV LOG: WEEK 1 (V1.01)

V1.01: RSI 14 WITH 1:1 RISK/REWARD

Before we explore advanced tools, we must establish a baseline. V1.01 tests the standard RSI 14, but we enforce a strict 1:1 Risk/Reward ratio (SL 100k, TP 100k) on the H1 timeframe to see if proper Money Management can carry a lagging indicator while avoiding market noise.

V1.01 Hypothesis & Expectations
We are deploying the bot with standard RSI 14 and fixed 100,000 points TP / 100,000 points SL on the H1 timeframe.
  • The Hypothesis: By forcing a 1:1 R:R on a higher timeframe (H1), we aim to survive market noise while keeping a Win Rate above 50% to stay profitable.
  • Potential Risk: A Take Profit of 100,000 points in a sideways market requires significant swing momentum. If the market ranges too tightly, the bot might hold positions for a longer period.
core_logic_v101.py
def check_rsi_signal(rates_frame):
    # Calculate standard RSI 14 for baseline test
    rsi = ta.momentum.rsi(rates_frame['close'], length=14)
    current_rsi = rsi.iloc[-1]
    
    if current_rsi < 30:
        return "BUY"  # Oversold condition
    elif current_rsi > 70:
        return "SELL" # Overbought condition
        
    return "WAIT"
RAW EXECUTION LOGS
FETCHING V1.01 RECORDS…

ABOUT VERSION 1.01

What is the strategy for V1.01?
Version 1.01 is the most basic iteration. It uses a static rule set (RSI 14) but incorporates robust Money Management from day one by demanding a 1:1 Risk/Reward ratio on the H1 timeframe to filter out intraday noise.
Why is there no recovery system?
This is our baseline test. Before exploring grid or martingale techniques, we need to document the true failure rate of a single-order entry in ranging markets.
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.
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