The right way to Construct Technical Evaluation and Backtesting Workflow with pandas-ta-classic, Technique Alerts, and Efficiency Metrics

entries = df.index[(df["pos"].diff() == 1)]
exits   = df.index[(df["pos"].diff() == -1)]
fig, (ax1, ax2, ax3) = plt.subplots(
   3, 1, figsize=(13, 10), sharex=True,
   gridspec_kw={"height_ratios": [3, 1, 2]},
)
ax1.plot(df.index, df["close"],  lw=1.1, coloration="black", label="Shut")
ax1.plot(df.index, df["SMA_20"], lw=0.9, label="SMA 20")
ax1.plot(df.index, df["SMA_50"], lw=0.9, label="SMA 50")
bbu, bbl = "BBU_20_2.0", "BBL_20_2.0"
if bbu in df and bbl in df:
   ax1.fill_between(df.index, df[bbl], df[bbu], alpha=0.12, label="Bollinger 20,2")
ax1.scatter(entries, df.loc[entries, "close"], marker="^", s=70,
           coloration="inexperienced", zorder=5, label="Entry")
ax1.scatter(exits,   df.loc[exits,   "close"], marker="v", s=70,
           coloration="pink",   zorder=5, label="Exit")
ax1.set_title(f"{TICKER} — worth, MAs, Bollinger, indicators")
ax1.legend(loc="higher left"); ax1.grid(alpha=0.3)
ax2.plot(df.index, df["RSI_14"], lw=0.9, label="RSI 14")
ax2.axhline(70, coloration="pink",   ls="--", lw=0.6)
ax2.axhline(30, coloration="inexperienced", ls="--", lw=0.6)
ax2.set_title("RSI 14"); ax2.legend(loc="higher left"); ax2.grid(alpha=0.3)
ax3.plot(df.index, (1 + df["ret"]).cumprod(),       lw=1.1, label="Purchase & Maintain")
ax3.plot(df.index, (1 + df["strat_ret"]).cumprod(), lw=1.1, label="Technique")
ax3.set_title("Fairness curves ($1 begin)")
ax3.legend(loc="higher left"); ax3.grid(alpha=0.3)
plt.tight_layout(); plt.present()
print("nTweak TICKER, the Technique checklist, or the sweep grid to maintain exploring.")