BIST 100 Stocks Above EMA, Positive MACD, RSI Below 70: Top Buy Signals

BIST 100 constituents trading above the 9, 21, 50 and 200‑day exponential moving averages (EMA), with MACD above zero and RSI under 70, present a robust technical buy setup.

EMA‑MACD Synergy Drives the Trend

■Prices above EMA 9‑21‑50‑200 confirm a sustained short‑ and medium‑term uptrend.

■MACD > 0 indicates short‑term demand outpacing long‑term demand, reinforcing bullish momentum.

■When price hugs the EMA line, this combination typically triggers a clean “buy” signal.

RSI & Stochastic Filters

■RSI < 70 shows the stock is not yet in an overbought zone, supporting trend durability.

■Stochastic < 80 and Stoch RSI < 80 signal that momentum has not peaked, reducing the risk of an abrupt pull‑back.

■These two oscillators act as filters, lowering false‑positive chances for the EMA‑MACD signal.

Highlighted Securities

■ASELSAN (ASELS) – EMA‑aligned, MACD +0.45, RSI 62

■THYAO (THYAO) – EMA 9‑21‑50‑200 above, MACD +0.38, RSI 58

■KCHOL (KCHOL) – Strong EMA, MACD +0.52, RSI 65

■VAKBN (VAKBN) – Positive EMA, MACD +0.31, RSI 60

Tactical Framework & Timing

■Entry: A modest pull‑back to the EMA band offers an optimal entry point.

■Stop‑Loss: Place just below the 200‑day EMA (≈ 2% under) to guard against trend breaks.

■Take‑Profit: First target at 3‑5% above the 9‑day EMA; secondary target at 8‑10% above the 21‑day EMA.

■Position Sizing: Limit each stock to 1‑2% of portfolio risk, keeping total exposure under 10‑15%.

Volkan Şen – The EMA‑MACD‑RSI triad mirrors the flow of smart‑money into BIST 100, especially in high‑liquidity stocks like ASELSAN and THYAO. Dark‑pool data reveals rising block‑size buy orders, suggesting that despite short‑term volatility, medium‑ to long‑term buying pressure remains strong. From a market‑depth perspective, the upward EMA trend and positive MACD divergence confirm that institutional capital is still on the bull side. When combined with HFT tactics, these signals provide a critical reference for optimal entry‑exit timing through broker‑distribution (AKD) and dark‑pool analytics.